BibSLEIGH — search-based tag

search-based

search-based

Tag #search-based

521 papers:

ICSME-2019-BraiekK #approach #named #network #testing: DeepEvolution: A Search-Based Testing Approach for Deep Neural Networks (HBB, FK), pp. 454–458.
AIIDE-2019-Marino #game studies #learning #programming #realtime: Learning Strategies for Real-Time Strategy Games with Genetic Programming (JRHM), pp. 219–220.
MoDELS-2019-BurduselZ0 #automation #consistency #generative: Automatic Generation of Atomic Consistency Preserving Search Operators for Search-Based Model Engineering (AB, SZ, SJ0), pp. 106–116.
ASE-2019-Gladisch0HOVP #automation #experience #testing: Experience Paper: Search-Based Testing in Automated Driving Control Applications (CG, TH0, CH, JO, AvV, TP), pp. 26–37.
ESEC-FSE-2019-AnBPY #framework #independence: PyGGI 2.0: language independent genetic improvement framework (GA, AB, JP, SY), pp. 1100–1104.
ESEC-FSE-2019-StallenbergP #detection #injection #named #web #xml: JCOMIX: a search-based tool to detect XML injection vulnerabilities in web applications (DMS, AP), pp. 1090–1094.
ICSE-2019-JabbarvandLM #android #energy #testing: Search-based energy testing of Android (RJ, JWL, SM), pp. 1119–1130.
CASE-2019-ZhouLHC #algorithm #scheduling: A Cuckoo Search-Based Scheduling Algorithm for a Semiconductor Production Line with Constrained Waiting Time (LZ, CL, BH, ZC), pp. 338–343.
ICTSS-2019-KluckZWN #comparison #performance #testing #validation: Performance Comparison of Two Search-Based Testing Strategies for ADAS System Validation (FK, MZ, FW, MN), pp. 140–156.
TAP-2019-LavillonniereMC #algorithm #automation #formal method #generative #performance #testing: Fast, Automatic, and Nearly Complete Structural Unit-Test Generation Combining Genetic Algorithms and Formal Methods (EL, DM, DC0), pp. 55–63.
EDM-2018-EstebanGR #algorithm #approach #hybrid #multi #recommendation #student #using: A Hybrid Multi-Criteria approach using a Genetic Algorithm for Recommending Courses to University Students (AE, AZG, CR).
ICPC-2018-MessaoudiPBBS #approach #identification: A search-based approach for accurate identification of log message formats (SM, AP, DB, LCB, RS), pp. 167–177.
ICSME-2018-SchermannL #deployment #scheduling: Search-Based Scheduling of Experiments in Continuous Deployment (GS, PL), pp. 485–495.
ICSME-2018-ZhuJX #execution #metric #symbolic computation #testing: Combining Search-Based Testing and Dynamic Symbolic Execution by Evolvability Metric (ZZ, LJ, XX), pp. 59–68.
MSR-2018-NairACFMMM0Y08 #data-driven #re-engineering: Data-driven search-based software engineering (VN, AA, JC, WF0, GM, TM, LLM, MW0, ZY0), pp. 341–352.
ICML-2018-SuganumaOO #image #standard: Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search (MS, MO, TO), pp. 4778–4787.
ECMFA-2018-AsoudehL #metric #similarity #testing: Life Sciences-Inspired Test Case Similarity Measures for Search-Based, FSM-Based Software Testing (NA, YL), pp. 199–215.
PLDI-2018-LeeHAN #modelling #probability #synthesis #using: Accelerating search-based program synthesis using learned probabilistic models (WL, KH, RA, MN), pp. 436–449.
ASE-2018-DegiovanniMRA #algorithm #identification: A genetic algorithm for goal-conflict identification (RD, FM, GR, NA), pp. 520–531.
ASE-2018-ScalabrinoGNGLG #c #generative #named #testing: OCELOT: a search-based test-data generation tool for C (SS, GG, DDN, MG, ADL, HCG, RO), pp. 868–871.
ICSE-2018-CasteleinASPD #generative #query #sql #testing: Search-based test data generation for SQL queries (JC, MFA, MS, AP, AvD), pp. 1120–1230.
ICSE-2018-GuoS #case study #product line #re-engineering: To preserve or not to preserve invalid solutions in search-based software engineering: a case study in software product lines (JG, KS0), pp. 1027–1038.
CASE-2018-KuoC #algorithm #capacity #industrial #scheduling #using: Using Auxiliary Capacity Planning Strategy Genetic Algorithm for TFT-LCD photolithography scheduling to empower Industry 3.5 (HAK, CFC0), pp. 920–925.
CASE-2018-WangDML #algorithm #problem #scheduling: A Grouping Genetic Algorithm for the Intercell Scheduling Problem (SW, SD, TM, DL), pp. 956–961.
CASE-2018-WijayasingheSPP #adaptation #algorithm #interface #using: Adaptive Interface for Robot Teleoperation using a Genetic Algorithm (IBW, MNS, SP, DOP, SC), pp. 50–56.
ICST-2018-JiLCPZ0YL #behaviour #network #nondeterminism #testing: Uncovering Unknown System Behaviors in Uncertain Networks with Model and Search-Based Testing (RJ, ZL, SC, MP, TZ0, SA0, TY0, XL), pp. 204–214.
ICST-2018-MahajanAMH #automation #clustering #similarity #using #web: Automated Repair of Internationalization Presentation Failures in Web Pages Using Style Similarity Clustering and Search-Based Techniques (SM, AA, PM, WGJH), pp. 215–226.
ICST-2018-MehneYPSGK #program repair: Accelerating Search-Based Program Repair (BM, HY, MRP, KS, DG, SK), pp. 227–238.
SANER-2017-HeLWW #adaptation #framework #optimisation #self: Self-adaptive systems framework based on agent and search-based optimization (LH, QL, LW, JW), pp. 557–558.
SANER-2017-LiuLNB #fault #locality #modelling #predict #testing #using: Improving fault localization for Simulink models using search-based testing and prediction models (BL, L, SN, LCB), pp. 359–370.
AIIDE-2017-ClarkF #performance #random #scalability: Fast Random Genetic Search for Large-Scale RTS Combat Scenarios (CC, AF), pp. 165–171.
ICMT-2017-Strueber #generative #modelling #performance: Generating Efficient Mutation Operators for Search-Based Model-Driven Engineering (DS), pp. 121–137.
ASE-2017-Busari #analysis #architecture #modelling #requirements #towards: Towards search-based modelling and analysis of requirements and architecture decisions (SAB), pp. 1026–1029.
ESEC-FSE-2017-Schuler #development #evolution #mobile #optimisation #re-engineering #testing: Application of search-based software engineering methodologies for test suite optimization and evolution in mission critical mobile application development (AS), pp. 1034–1037.
ESEC-FSE-2017-Wang #adaptation #nondeterminism #re-engineering #self #using: Using search-based software engineering to handle the changes with uncertainties for self-adaptive systems (LW), pp. 1014–1017.
ICSE-2017-SoltaniPD #algorithm #automation: A guided genetic algorithm for automated crash reproduction (MS, AP, AvD), pp. 209–220.
CASE-2017-KinghorstGLCYFZ #algorithm #approach #maintenance #markov #modelling #predict: Hidden Markov model-based predictive maintenance in semiconductor manufacturing: A genetic algorithm approach (JK, OG, ML, HLC, KY, JF, MZ, BVH), pp. 1260–1267.
CASE-2017-LuBHB #algorithm #delivery: Improved genetic algorithm based delivery time control for Fourth Party Logistics (FL, HB, LH, WB), pp. 390–393.
CASE-2017-LuQ #algorithm #energy #parallel #problem #scheduling: An improved genetic algorithm for a parallel machine scheduling problem with energy consideration (HL0, FQ), pp. 1487–1492.
CASE-2017-RochollM #algorithm #multi #order #problem #scheduling: Genetic algorithms for a single-machine multiple orders per job scheduling problem with a common due date (JR, LM), pp. 1038–1039.
CASE-2017-WangGJZ #algorithm #estimation: Genetic algorithm based transition probabilities estimation (XW, NG, ZJ, LZ), pp. 213–218.
CADE-2017-LonsingE: DepQBF 6.0: A Search-Based QBF Solver Beyond Traditional QCDCL (FL, UE), pp. 371–384.
ICST-2017-Gay #detection #fault #generative #testing: The Fitness Function for the Job: Search-Based Generation of Test Suites That Detect Real Faults (GG), pp. 345–355.
ICST-2017-JanNAB #approach #injection #testing #web #xml: A Search-Based Testing Approach for XML Injection Vulnerabilities in Web Applications (SJ, CDN, AA, LCB), pp. 356–366.
ICST-2017-PradhanWAYL #algorithm #clustering #multi #named #optimisation: CBGA-ES: A Cluster-Based Genetic Algorithm with Elitist Selection for Supporting Multi-Objective Test Optimization (DP, SW0, SA0, TY0, ML), pp. 367–378.
ICSME-2016-0001KI #code review #overview #perspective #recommendation: Search-Based Peer Reviewers Recommendation in Modern Code Review (AO0, RGK, KI), pp. 367–377.
ICSME-2016-McMinnWKMCK #database #generative #named #relational #testing: SchemaAnalyst: Search-Based Test Data Generation for Relational Database Schemas (PM, CJW, CK, CJM, MC, GMK), pp. 586–590.
ICSME-2016-WangL #adaptation #framework #multi #optimisation #self: A Multiagent-Based Framework for Self-Adaptive Software with Search-Based Optimization (LW, QL), pp. 621–625.
SANER-2016-PanichellaDOPPL #algorithm #using: Parameterizing and Assembling IR-Based Solutions for SE Tasks Using Genetic Algorithms (AP, BD, RO, MDP, DP, ADL), pp. 314–325.
Haskell-2016-WangNF #algorithm #named #strict #using: Autobahn: using genetic algorithms to infer strictness annotations (YRW, DN, KF), pp. 114–126.
CIG-2016-SchmittK #algorithm #multi #simulation: A multi-objective genetic algorithm for simulating optimal fights in StarCraft II (JS, HK), pp. 1–8.
ICPR-2016-LeeS #image #programming: Learning-based single image dehazing via genetic programming (CL, LS0), pp. 745–750.
ICMT-2016-FleckTW #model transformation: Search-Based Model Transformations with MOMoT (MF, JT, MW), pp. 79–87.
MoDELS-2016-AlkhaziRKWG #approach #atl #automation #model transformation #refactoring: Automated refactoring of ATL model transformations: a search-based approach (BA, TR, MK, MW, WIG), pp. 295–304.
MoDELS-2016-FontAHC #algorithm #feature model #information retrieval #modelling: Feature location in models through a genetic algorithm driven by information retrieval techniques (JF, LA, ØH, CC), pp. 272–282.
FSE-2016-LinPCDZZ #architecture #interactive #recommendation #refactoring: Interactive and guided architectural refactoring with search-based recommendation (YL0, XP0, YC, DD, DZ, WZ), pp. 535–546.
FSE-2016-TanYPR #program repair: Anti-patterns in search-based program repair (SHT, HY, MRP, AR), pp. 727–738.
ICSE-2016-WangAYLL #algorithm #quality #re-engineering: A practical guide to select quality indicators for assessing pareto-based search algorithms in search-based software engineering (SW0, SA0, TY0, YL, ML), pp. 631–642.
ICST-2016-MarculescuFT #evaluation #testing #using: Using Exploration Focused Techniques to Augment Search-Based Software Testing: An Experimental Evaluation (BM, RF, RT), pp. 69–79.
SANER-2015-SaeidiHKJ #approach #clustering #multi: A search-based approach to multi-view clustering of software systems (AS, JH, RK, SJ), pp. 429–438.
CIG-2015-Garcia-SanchezT #automation #generative #programming #towards #using: Towards automatic StarCraft strategy generation using genetic programming (PGS, APT, AMM, GS, JJMG), pp. 284–291.
ICGT-2015-BurUHV #pattern matching: Local Search-Based Pattern Matching Features in EMF-IncQuery (MB, ZU, ÁH, DV), pp. 275–282.
ICEIS-v1-2015-AnjosFBSGM #big data: Genetic Mapping of Diseases through Big Data Techniques (JCSdA, BRF, JFB, RBS, CG, UM), pp. 279–286.
ICEIS-v1-2015-GharbiGB #approach #configuration management #embedded #hybrid #realtime #scheduling: A Hybrid Genetic based Approach for Real-time Reconfigurable Scheduling of OS Tasks in Uniprocessor Embedded Systems (IG, HG, SB), pp. 385–390.
ICEIS-v1-2015-NouriDG #algorithm #flexibility #multi #problem #scheduling: Genetic Algorithm Combined with Tabu Search in a Holonic Multiagent Model for Flexible Job Shop Scheduling Problem (HEN, OBD, KG), pp. 573–584.
MLDM-2015-DavidsenSP #classification #fuzzy: Local and Global Genetic Fuzzy Pattern Classifiers (SAD, ES, MP), pp. 55–69.
SEKE-2015-KinneerKMW #automation #database #generative #performance #relational #testing: Automatically Evaluating the Efficiency of Search-Based Test Data Generation for Relational Database Schemas (CK, GMK, PM, CJW), pp. 352–357.
SEKE-2015-Murillo-MoreraJ #algorithm #approach #framework #learning #predict #using: A Software Defect-Proneness Prediction Framework: A new approach using genetic algorithms to generate learning schemes (JMM, MJ), pp. 445–450.
SPLC-2015-FederleFCV #architecture #design #named #product line: OPLA-tool: a support tool for search-based product line architecture design (ÉLF, TdNF, TEC, SRV), pp. 370–373.
ASE-2015-GerasimouTC #modelling #probability #re-engineering #synthesis: Search-Based Synthesis of Probabilistic Models for Quality-of-Service Software Engineering (T) (SG, GT, RC), pp. 319–330.
ESEC-FSE-2015-White #generative #parametricity #performance #testing #using: Increasing the efficiency of search-based unit test generation using parameter control (TW), pp. 1042–1044.
ICSE-v1-2015-ZouWXZSM #algorithm #detection #float: A Genetic Algorithm for Detecting Significant Floating-Point Inaccuracies (DZ, RW, YX, LZ, ZS, HM), pp. 529–539.
ICSE-v2-2015-Assuncao #architecture #migration #product line: Search-Based Migration of Model Variants to Software Product Line Architectures (WKGA), pp. 895–898.
SAC-2015-FahnrichSP #database #identification #in memory: Facing the genome data deluge: efficiently identifying genetic variants with in-memory database technology (CF, MPS, HP), pp. 18–25.
SAC-2015-FerrucciSKS #algorithm #framework #parallel #pipes and filters: A parallel genetic algorithms framework based on Hadoop MapReduce (FF, PS, MTK, FS), pp. 1664–1667.
SAC-2015-JeongYAYP #algorithm #interactive #network #using: Inference of disease-specific gene interaction network using a Bayesian network learned by genetic algorithm (DJ, YY, JA, YY, SP), pp. 47–53.
SAC-2015-Jo #algorithm #image #interactive #using: Color image quantization using interactive genetic algorithm (SJ), pp. 139–140.
DAC-2015-PapamichaelMH #algorithm #automation #design #named #performance #using: Nautilus: fast automated IP design space search using guided genetic algorithms (MKP, PM, JCH), p. 6.
ICTSS-2015-SultanBGDZ #algorithm #clustering: Genetic Algorithm Application for Enhancing State-Sensitivity Partitioning (AMS, SB, AAAG, JD, HZ), pp. 249–256.
ISSTA-2015-ShenLPG #automation #detection #performance #profiling #using: Automating performance bottleneck detection using search-based application profiling (DS, QL, DP, MG), pp. 270–281.
ICSME-2014-RomanoRP #algorithm #interface #refactoring #using: Refactoring Fat Interfaces Using a Genetic Algorithm (DR, SR, MP), pp. 351–360.
CIG-2014-FerreiraT #approach #generative: A search-based approach for generating Angry Birds levels (LF, CFMT), pp. 1–8.
ICEIS-v1-2014-Malgorzata #algorithm #mobile #using: The Use of Genetic Algorithms in Mobile Applications (MPW), pp. 520–525.
CIKM-2014-LinLZX #named #optimisation #programming: GPQ: Directly Optimizing Q-measure based on Genetic Programming (YL, HL, PZ, BX), pp. 1859–1862.
ICPR-2014-MoriKO #analysis #collaboration #framework #online #platform: Search-Based Content Analysis System on Online Collaborative Platform for Film Production (MM, HK, MO), pp. 1091–1096.
ICPR-2014-NagyM #approach #grid: Binary Tomography on the Triangular Grid with 3 Alternative Directions — A Genetic Approach (BN, EVM), pp. 1079–1084.
SEKE-2014-ParkSHSHB #algorithm #resource management #using: Practical Human Resource Allocation in Software Projects Using Genetic Algorithm (JP, DS, GH, DS, JH, DHB), pp. 688–694.
SPLC-2014-ColanziVGO #approach #design #product line: A search-based approach for software product line design (TEC, SRV, IMSG, WNO), pp. 237–241.
OOPSLA-2014-GligoricSPVNL #automation #dynamic analysis #migration #refactoring #using: Automated migration of build scripts using dynamic analysis and search-based refactoring (MG, WS, CP, DvV, IN, BL), pp. 599–616.
ASE-2014-ZhangCHXXZM #polynomial: Search-based inference of polynomial metamorphic relations (JZ, JC, DH, YX, BX, LZ, HM), pp. 701–712.
FSE-2014-GoffiGMPT #sequence #synthesis: Search-based synthesis of equivalent method sequences (AG, AG, AM, MP, PT), pp. 366–376.
SAC-2014-JungKYM #algorithm: Investigation of hungarian mating schemes for genetic algorithms (CJ, YHK, YY, BRM), pp. 140–147.
ICTSS-2014-DoganayEAB #embedded #testing: Search-Based Testing for Embedded Telecom Software with Complex Input Structures (KD, SE, WA, MB), pp. 205–210.
ICTSS-2014-Estero-BotaroGDPM #composition #framework #generative #testing: A Framework for Genetic Test-Case Generation for WS-BPEL Compositions (AEB, AGD, JJDJ, FPL, IMB), pp. 1–16.
ISSTA-2014-GaleottiFA #adaptation #execution #generative #symbolic computation: Extending a search-based test generator with adaptive dynamic symbolic execution (JPG, GF, AA), pp. 421–424.
SIGMOD-2013-ZhangXYZW #algorithm #named #using: PrivGene: differentially private model fitting using genetic algorithms (JZ, XX, YY, ZZ, MW), pp. 665–676.
VLDB-2013-YanZITY #feedback #integration #keyword #query: Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration (ZY, NZ, ZGI, PPT, CY), pp. 205–216.
CSMR-2013-OuniKS #refactoring #using: Search-Based Refactoring Using Recorded Code Changes (AO, MK, HAS), pp. 221–230.
ICSM-2013-RosePFP #framework #platform #probability #scalability #testing #towards: Towards a Scalable Cloud Platform for Search-Based Probabilistic Testing (LMR, SMP, RF, RFP), pp. 480–483.
MSR-2013-AmouiKATLL #detection #experience #fault #industrial: Search-based duplicate defect detection: an industrial experience (MA, NK, AAD, LT, SL, WL), pp. 173–182.
WCRE-2013-HarmanLW #programming #reverse engineering: Genetic programming for Reverse Engineering (MH, WBL, WW), pp. 1–10.
CIG-2013-AlhejaliL #heuristic #monte carlo #programming #using: Using genetic programming to evolve heuristics for a Monte Carlo Tree Search Ms Pac-Man agent (AMA, SML), pp. 1–8.
CIG-2013-BenbassatS #named #programming: EvoMCTS: Enhancing MCTS-based players through genetic programming (AB, MS), pp. 1–8.
CIG-2013-Brown #graph #multi #network: Examination of graphs in Multiple Agent Genetic Networks for Iterated Prisoner's Dilemma (JAB), pp. 1–8.
FDG-2013-FontMMT #automation #game studies #generative #programming #towards: Towards the automatic generation of card games through grammar-guided genetic programming (JMF, TM, DM, JT), pp. 360–363.
DUXU-NTE-2013-FukumotoI #algorithm #interactive #mobile #optimisation: A Proposal for Optimization Method of Vibration Pattern of Mobile Device with Interactive Genetic Algorithm (MF, TI), pp. 264–269.
HCI-IMT-2013-ShimizuNS #algorithm #generative #using: System of Generating Japanese Sound Symbolic Expressions Using Genetic Algorithm (YS, TN, MS), pp. 126–134.
ICEIS-v3-2013-FerreiraFSCRPO #analysis #interactive: Log Analysis of Human Computer Interactions Regarding Break The Glass Accesses to Genetic Reports (AMF, PF, CSP, RJCC, PPR, AdCP, VO), pp. 46–53.
KDIR-KMIS-2013-WaadBL #algorithm #feature model #rank: Feature Selection by Rank Aggregation and Genetic Algorithms (BW, ABB, ML), pp. 74–81.
MLDM-2013-BrownPD #algorithm: Dynamic-Radius Species-Conserving Genetic Algorithm for the Financial Forecasting of Dow Jones Index Stocks (MSB, MJP, HD), pp. 27–41.
SIGIR-2013-WangHWZ0M #learning #multimodal: Learning to name faces: a multimodal learning scheme for search-based face annotation (DW, SCHH, PW, JZ, YH, CM), pp. 443–452.
ICSE-2013-FreyFH #configuration management #deployment #in the cloud #optimisation: Search-based genetic optimization for deployment and reconfiguration of software in the cloud (SF, FF, WH), pp. 512–521.
ICSE-2013-PanichellaDOPPL #algorithm #approach #effectiveness #how #modelling #re-engineering #topic: How to effectively use topic models for software engineering tasks? an approach based on genetic algorithms (AP, BD, RO, MDP, DP, ADL), pp. 522–531.
ICSE-2013-SayyadMA #case study #on the #product line #re-engineering: On the value of user preferences in search-based software engineering: a case study in software product lines (ASS, TM, HA), pp. 492–501.
SAC-2013-KimM #algorithm #detection #hybrid #using: Disguised malware script detection system using hybrid genetic algorithm (JK, BRM), pp. 182–187.
SAC-2013-ToledoAOD #algorithm #hybrid #multi #problem: A hybrid compact genetic algorithm applied to the multi-level capacitated lot sizing problem (CFMT, MdSA, RRRdO, ACBD), pp. 200–205.
DATE-2013-PanCL #agile #design #named #parallel #performance #towards: PAGE: parallel agile genetic exploration towards utmost performance for analog circuit design (PCP, HMC, CCL), pp. 1849–1854.
PDP-2013-SmykT #algorithm #execution #framework #monitoring: Genetic Algorithms Hierarchical Execution Control under a Global Application State Monitoring Infrastructure (AS, MT), pp. 16–23.
PLOS-2013-TschudinRJLLM #comprehension #linux: Understanding the genetic makeup of Linux device drivers (PST, LR, LJ, DL, JLL, GM), p. 6.
ICST-2013-KapfhammerMW #constraints #database #multi #relational #testing: Search-Based Testing of Relational Schema Integrity Constraints Across Multiple Database Management Systems (GMK, PM, CJW), pp. 31–40.
VLDB-2012-IseleB #learning #programming #using: Learning Expressive Linkage Rules using Genetic Programming (RI, CB), pp. 1638–1649.
ICSM-2012-FadhelKLW #detection: Search-based detection of high-level model changes (AbF, MK, PL, MW), pp. 212–221.
ICSM-2012-IslamMSKS #algorithm #named #semantics #sorting #testing: MOTCP: A tool for the prioritization of test cases based on a sorting genetic algorithm and Latent Semantic Indexing (MMI, AM, AS, FBK, GS), pp. 654–657.
ICSM-2012-OuniKSH #refactoring #semantics #towards: Search-based refactoring: Towards semantics preservation (AO, MK, HAS, MSH), pp. 347–356.
SEFM-2012-LefticaruI #algorithm #approach #finite #generative #state machine #testing #using: An Improved Test Generation Approach from Extended Finite State Machines Using Genetic Algorithms (RL, FI), pp. 293–307.
AIIDE-2012-RisiLDHS #game studies #generative #social #video: Combining Search-Based Procedural Content Generation and Social Gaming in the Petalz Video Game (SR, JL, DBD, RH, KOS).
CIG-2012-BenbassatS #evolution #programming #using: Evolving both search and strategy for Reversi players using genetic programming (AB, MS), pp. 47–54.
CIG-2012-BrandstetterA #information retrieval #programming #using: Reactive control of Ms. Pac Man using information retrieval based on Genetic Programming (MFB, SA), pp. 250–256.
CAiSE-2012-EnsanBG #feature model #generative #modelling #product line #testing: Evolutionary Search-Based Test Generation for Software Product Line Feature Models (FE, EB, DG), pp. 613–628.
ICPR-2012-DornellesH #algorithm #approach #image: A genetic algorithm based approach for combining binary image operators (MMD, NSTH), pp. 3184–3187.
ICPR-2012-PighettiPP #algorithm #image #interactive #multi #retrieval: Hybdrid Content Based Image Retrieval combining multi-objective interactive genetic algorithm and SVM (RP, DP, FP), pp. 2849–2852.
KDIR-2012-Potuzak #algorithm #network #optimisation #using: Issues of Optimization of a Genetic Algorithm for Traffic Network Division using a Genetic Algorithm (TP), pp. 340–343.
SEKE-2012-SalamiA #algorithm #diagrams #framework #retrieval #using: A Framework for Class Diagram Retrieval Using Genetic Algorithm (HOS, MAA), pp. 737–740.
ASE-2012-HarmanLJWAC #challenge #programming #source code #using: The GISMOE challenge: constructing the pareto program surface using genetic programming to find better programs (MH, WBL, YJ, DRW, AA, JAC), pp. 1–14.
ICSE-2012-GrossFZ #named #testing #user interface: EXSYST: Search-based GUI testing (FG, GF, AZ), pp. 1423–1426.
ICSE-2012-ZhouXZ #bound #named #polynomial: Stride: Search-based deterministic replay in polynomial time via bounded linkage (JZ, XX, CZ), pp. 892–902.
SAC-2012-AvalhaisSRT #difference #image #retrieval: Image retrieval employing genetic dissimilarity weighting and feature space transformation functions (LPSA, SFdS, JFRJ, AJMT), pp. 1012–1017.
SAC-2012-CerriBC #algorithm #classification #multi: A genetic algorithm for Hierarchical Multi-Label Classification (RC, RCB, ACPLFdC), pp. 250–255.
SAC-2012-ChenZD #algorithm #effectiveness #segmentation #using: Effective radical segmentation of offline handwritten Chinese characters by using an enhanced snake model and Genetic Algorithm (ZC, BZ, SD), pp. 54–55.
SAC-2012-ChiwiacowskyGMVG #algorithm: A two-level procedure based on genetic algorithms to optimize an aeronautical composite structure (LDC, PG, RM, HFdCV, ATG), pp. 259–260.
SAC-2012-ChoeYYR #algorithm #automation #realtime #scheduling #using: Real-time scheduling of twin stacking cranes in an automated container terminal using a genetic algorithm (RC, HY, YY, KRR), pp. 238–243.
SAC-2012-LeeKP: A genetic scheduler for electric vehicle charging (JL, HJK, GLP), pp. 1843–1844.
SAC-2012-MengHO #algorithm #analysis: Analysis of a triploid genetic algorithm over deceptive landscapes (LM, SH, CO), pp. 244–249.
SAC-2012-Pizzuti #algorithm #community #composition #detection: Boosting the detection of modular community structure with genetic algorithms and local search (CP), pp. 226–231.
SAC-2012-SarroFG #development #estimation #multi #programming: Single and Multi Objective Genetic Programming for software development effort estimation (FS, FF, CG), pp. 1221–1226.
SAC-2012-SarroMFG #algorithm #analysis #fault #predict #using: A further analysis on the use of Genetic Algorithm to configure Support Vector Machines for inter-release fault prediction (FS, SDM, FF, CG), pp. 1215–1220.
CASE-2012-BilykM #heuristic #parallel #problem: Variable neighborhood search-based subproblem solution procedures for a parallel shifting bottleneck heuristic for complex job shops (AB, LM), pp. 419–424.
CASE-2012-CaiL #algorithm #hybrid #multi #problem #scheduling: A hybrid genetic algorithm for resource-constrained multi-project scheduling problem with resource transfer time (ZC, XL), pp. 569–574.
CASE-2012-CaoZF #approach #mobile: Point stabilization of mobile robots by genetic sliding mode approach with neural dynamics model on uneven surface (ZC, YZ, YF), pp. 1150–1155.
CASE-2012-DimitrovB #algorithm #evaluation #reduction #scheduling: Criteria evaluation considering the current time used by a genetic scheduling algorithm for changeover and tardiness reduction (TD, MB), pp. 425–430.
DAC-2012-LinK #comprehension #logic #synthesis: Application of logic synthesis to the understanding and cure of genetic diseases (PCKL, SPK), pp. 734–740.
DATE-2012-CordesM #algorithm #parallel #using: Multi-objective aware extraction of task-level parallelism using genetic algorithms (DC, PM), pp. 394–399.
DATE-2012-Hassoun #automation #biology #design: Genetic/bio design automation for (re-)engineering biological systems (SH), pp. 242–247.
PDP-2012-SaenkoK #algorithm #design #evaluation #mining #performance #problem: Design and Performance Evaluation of Improved Genetic Algorithm for Role Mining Problem (IS, IVK), pp. 269–274.
CAV-2012-GuetGHMS #markov: Delayed Continuous-Time Markov Chains for Genetic Regulatory Circuits (CCG, AG, TAH, MM, AS), pp. 294–309.
CAV-2012-Myers #verification: Formal Verification of Genetic Circuits (CJM), p. 5.
ICST-2012-DelamareK #algorithm #aspect-oriented #integration #order: A Genetic Algorithm for Computing Class Integration Test Orders for Aspect-Oriented Systems (RD, NAK), pp. 804–813.
ICST-2012-FraserA #testing: The Seed is Strong: Seeding Strategies in Search-Based Software Testing (GF, AA), pp. 121–130.
ICST-2012-GeronimoFMS #algorithm #automation #generative #parallel #pipes and filters #testing: A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites (LDG, FF, AM, FS), pp. 785–793.
ICST-2012-McMinnSS #data type #generative #query #string #using #web: Search-Based Test Input Generation for String Data Types Using the Results of Web Queries (PM, MS, MS), pp. 141–150.
ICST-2012-PavlovF #automation #generative #testing: Semi-automatic Search-Based Test Generation (YP, GF), pp. 777–784.
ICST-2012-Woehrle #network #protocol #testing: Search-Based Stress Testing of Wireless Network Protocol Stacks (MW), pp. 794–803.
ISSTA-2012-GrossFZ #testing: Search-based system testing: high coverage, no false alarms (FG, GF, AZ), pp. 67–77.
SCAM-2011-AvanciniC #approach #security #testing #web: Security Testing of Web Applications: A Search-Based Approach for Cross-Site Scripting Vulnerabilities (AA, MC), pp. 85–94.
CIG-2011-AgapitosOBT #learning #modelling #programming #using: Learning environment models in car racing using stateful Genetic Programming (AA, MO0, AB, TT), pp. 219–226.
CIG-2011-AlhejaliL #programming #using: Using a training camp with Genetic Programming to evolve Ms Pac-Man agents (AMA, SML), pp. 118–125.
CIG-2011-AntonioFCP #algorithm #evaluation #game studies #optimisation #using: Optimization of an evaluation function of the 4-sided dominoes game using a genetic algorithm (NSA, CFFCF, MGFC, RP), pp. 24–30.
HCI-DDA-2011-ZablotskiyPZM #algorithm #estimation #parametricity: GMM Parameter Estimation by Means of EM and Genetic Algorithms (SZ, TP, KZ, WM), pp. 527–536.
ICEIS-J-2011-Moghadampour11b #algorithm #random: Outperforming Mutation Operator with Random Building Block Operator in Genetic Algorithms (GM), pp. 178–192.
ICEIS-v2-2011-BadarudinSSMM #algorithm #memory management #problem #representation: An Improved Genetic Algorithm with Gene Value Representation and Short Term Memory for Shape Assignment Problem (IB, ABMS, MNS, AM, MTMM), pp. 178–183.
ICEIS-v2-2011-LongLG #algorithm #performance #predict: High-speed Railway based on Genetic Algorithm for Prediction of Travel Choice (CL, JL, YG), pp. 26–31.
ICEIS-v2-2011-Moghadampour #algorithm #random: Random Building Block Operator for Genetic Algorithms (GM), pp. 54–62.
ICEIS-v2-2011-Moghadampour11a #adaptation #algorithm #integer #self: Self-adaptive Integer and Decimal Mutation Operators for Genetic Algorithms (GM), pp. 184–191.
ICEIS-v2-2011-Santibanez-GonzalezLM #algorithm #design #problem: A Genetic Algorithm for Solving a Public Sector Sustainable Supply Chain Design Problem (EDRSG, HPLL, GRM), pp. 222–227.
ICEIS-v2-2011-TarsauliyaTS #network #using: Financial Time Series Forecast using Simulated Annealing and Threshold Acceptance Genetic BPA Neural Network (AT, RT, AS), pp. 172–177.
KDIR-2011-BorcheninovO #embedded #programming #symbolic computation: Genetic Programming with Embedded Features of Symbolic Computations (YVB, YSO), pp. 476–479.
KDIR-2011-Potuzak #algorithm #network: Suitability of a Genetic Algorithm for Road Traffic Network Division (TP), pp. 448–451.
MLDM-2011-GunesCO #algorithm #classification #named #novel #relational #using: GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms (IG, ZÇ, SGÖ), pp. 568–583.
SEKE-2011-SeriaiC #approach #architecture #object-oriented: A Genetic Approach for Software Architecture Recovery from Object-Oriented Code (ADS, SC), pp. 515–520.
SIGIR-2011-WangHH #image #mining #web: Mining weakly labeled web facial images for search-based face annotation (DW, SCHH, YH), pp. 535–544.
ASE-2011-BaarsHHLMTV #testing: Symbolic search-based testing (AIB, MH, YH, KL, PM, PT, TEJV), pp. 53–62.
ASE-2011-LozanoKM #named #recommendation #source code: Mendel: Source code recommendation based on a genetic metaphor (AL, AK, KM), pp. 384–387.
ASE-2011-MalburgF #constraints #testing: Combining search-based and constraint-based testing (JM, GF), pp. 436–439.
ASE-2011-WangLJLL #fault #locality: Search-based fault localization (SW, DL, LJ, L, HCL), pp. 556–559.
SAC-2011-DaniAS #algorithm #architecture #manycore: Applying genetic algorithms to optimize the power in tiled SNUCA chip multicore architectures (AMD, BA, YNS), pp. 1090–1091.
SAC-2011-KienHB #algorithm #communication #hybrid #problem: New hybrid genetic algorithm for solving optimal communication spanning tree problem (PTK, NDH, HTTB), pp. 1076–1081.
SAC-2011-MaciasG #in the cloud: A genetic model for pricing in cloud computing markets (MM, JG), pp. 113–118.
SAC-2011-SantosaMK #approach #named #programming: HMXT-GP: an information-theoretic approach to genetic programming that maintains diversity (HS, JM, PJK), pp. 1070–1075.
SAC-2011-YukselBK #algorithm #estimation #framework #parametricity #platform: A software platform for genetic algorithms based parameter estimation on digital sound synthesizers (KAY, BB, HK), pp. 1088–1089.
PDP-2011-SaenkoK #algorithm #mining #problem: Genetic Algorithms for Role Mining Problem (IS, IVK), pp. 646–650.
FASE-2011-KessentiniSBW #design #detection #fault: Search-Based Design Defects Detection by Example (MK, HAS, MB, MW), pp. 401–415.
CAV-2011-GrosuBFGGSB #network: From Cardiac Cells to Genetic Regulatory Networks (RG, GB, FHF, JG, CLG, SAS, EB), pp. 396–411.
SIGMOD-2010-TalukdarIP #automation #integration #keyword: Automatically incorporating new sources in keyword search-based data integration (PPT, ZGI, FCNP), pp. 387–398.
WCRE-2010-WongASLM #behaviour #detection #programming #reverse engineering #using: Reverse Engineering Utility Functions Using Genetic Programming to Detect Anomalous Behavior in Software (SW, MA, JS, KL, SM), pp. 141–149.
CIG-2010-BenbassatS #evolution #programming #using: Evolving Lose-Checkers players using genetic programming (AB, MS), pp. 30–37.
CIG-2010-CardamoneLLB #algorithm #using: Searching for the optimal racing line using genetic algorithms (LC, DL, PLL, APB), pp. 388–394.
CIG-2010-SatoI: Solving Sudoku with genetic operations that preserve building blocks (YS, HI), pp. 23–29.
ICGT-2010-Qayum #automation #graph transformation #refactoring #using: Automated Assistance for Search-Based Refactoring Using Unfolding of Graph Transformation Systems (FQ), pp. 407–409.
ICEIS-AIDSS-2010-Chatzinikolaou #adaptation #algorithm #coordination #design #distributed #evolution #self: Coordinating Evolution — Designing a Self-adapting Distributed Genetic Algorithm (NC), pp. 13–20.
ICEIS-AIDSS-2010-Moghadampour #algorithm: Male and Female Chromosomes in Genetic Algorithms (GM), pp. 220–225.
ICEIS-AIDSS-2010-SofokleousKA #automation #testing: Automatic Search-based Testing with the Required k-tuples Criterion (AAS, AK, ASA), pp. 250–255.
ICEIS-DISI-2010-PapatheocharousIA #approach #cost analysis #estimation #modelling #programming: A Genetic Programming Approach to Software Cost Modeling and Estimation (EP, AI, ASA), pp. 281–287.
ICEIS-J-2010-Chatzinikolaou10a #adaptation #algorithm #architecture #coordination #evolution #peer-to-peer #self: Coordinating Evolution: An Open, Peer-to-Peer Architecture for a Self-adapting Genetic Algorithm (NC), pp. 164–176.
CIKM-2010-VijayalakshmiMMDRM #algorithm #using: Intelligent sales forecasting engine using genetic algorithms (MV, BM, RM, AD, RR, KM), pp. 1669–1672.
ICPR-2010-AtmosukartoSH #3d #learning #programming #using: The Use of Genetic Programming for Learning 3D Craniofacial Shape Quantifications (IA, LGS, CH), pp. 2444–2447.
ICPR-2010-CalanaROD #algorithm #difference #prototype #representation: Prototype Selection for Dissimilarity Representation by a Genetic Algorithm (YPC, EBGR, MOA, RPWD), pp. 177–180.
ICPR-2010-SoltanaACA #adaptation #algorithm #using: Adaptive Feature and Score Level Fusion Strategy Using Genetic Algorithms (WBS, MA, LC, CBA), pp. 4316–4319.
SEKE-2010-AndresMN #algorithm #multi #testing: Multi-objective Genetic Algorithms: Construction and Recombination of Passive Testing Properties (CA, MGM, MN), pp. 405–410.
SAC-2010-BaeAVNB #algorithm #performance: Convex onion peeling genetic algorithm: an efficient solution to map labeling of point-feature (WDB, SA, PV, SN, KYB), pp. 892–899.
SAC-2010-ToledoOOP #algorithm #parallel #problem #scheduling: Parallel genetic algorithm approaches applied to solve a synchronized and integrated lot sizing and scheduling problem (CFMT, LdO, RRRdO, MRP), pp. 1148–1152.
PDP-2010-SerafinoR #algorithm #on the #parallel: On the Application of Multiple-Deme Parallel Genetic Algorithms in Astrophysics (DdS, FR), pp. 231–237.
PDP-2010-WangBBW #approach #modelling #parallel #source code: Model Driven Iterative Multi-dimensional Parallelization of Multi-task Programs for the Cell BE: A Genetic Algorithm-Based Approach (MW, NB, FB, ZW), pp. 218–222.
ICST-2010-HuangCM #algorithm #testing #user interface #using: Repairing GUI Test Suites Using a Genetic Algorithm (SH, MBC, AMM), pp. 245–254.
ICTSS-2010-ArcuriIB #black box #embedded #random #realtime #testing #using: Black-Box System Testing of Real-Time Embedded Systems Using Random and Search-Based Testing (AA, MZZI, LCB), pp. 95–110.
ICTSS-2010-LakhotiaTHH #constraints #execution #float #named #symbolic computation #theorem proving: FloPSy — Search-Based Floating Point Constraint Solving for Symbolic Execution (KL, NT, MH, JdH), pp. 142–157.
SAT-2010-LonsingB #dependence: Integrating Dependency Schemes in Search-Based QBF Solvers (FL, AB), pp. 158–171.
EDM-2009-ZafraV #learning #multi #predict #programming #student: Predicting Student Grades in Learning Management Systems with Multiple Instance Learning Genetic Programming (AZ, SV), pp. 309–318.
LATA-2009-Roman #algorithm: Genetic Algorithm for Synchronization (AR), pp. 684–695.
CIG-2009-EbnerT #evolution #programming #using: Evolving driving controllers using Genetic Programming (ME, TT), pp. 279–286.
CIG-2009-Pace #algorithm #game studies #how: How a genetic algorithm learns to play Traveler's Dilemma by choosing dominated strategies to achieve greater payoffs (MP), pp. 194–200.
ICEIS-AIDSS-2009-TangL #algorithm #quality: A Fuzzy-guided Genetic Algorithm for Quality Enhancement in the Supply Chain (CXHT, HCWL), pp. 85–89.
ICEIS-HCI-2009-TroianoBAC #algorithm #layout #mobile #optimisation #web: Web Form Page in Mobile Devices — Optimization of Layout with a Simple Genetic Algorithm (LT, CB, RA, GC), pp. 118–123.
CIKM-2009-WangML #learning #programming #question #rank #using: Learning to rank using evolutionary computation: immune programming or genetic programming? (SW, JM, JL), pp. 1879–1882.
ICML-2009-Daume #predict: Unsupervised search-based structured prediction (HDI), pp. 209–216.
KDIR-2009-TsakonasD #estimation #modelling #programming: Deriving Models for Software Project Effort Estimation by Means of Genetic Programming (AT, GD), pp. 34–42.
ICSE-2009-WeimerNGF #automation #programming #using: Automatically finding patches using genetic programming (WW, TN, CLG, SF), pp. 364–374.
SAC-2009-BasgaluppBCFR #algorithm #induction #multi #named: LEGAL-tree: a lexicographic multi-objective genetic algorithm for decision tree induction (MPB, RCB, ACPLFdC, AAF, DDR), pp. 1085–1090.
SAC-2009-MasaruS #algorithm #modelling: Daily demand forecasting of new products utilizing diffusion models and genetic algorithms (TM, MS), pp. 1106–1107.
SAC-2009-ParkYAMP #algorithm #approach #detection #novel #segmentation #using: A novel approach to detect copy number variation using segmentation and genetic algorithm (CP, YY, JA, MM, SP), pp. 788–792.
CASE-2009-NaveenRR #algorithm #difference #evolution #network #using: Rule extraction from differential evolution trained radial basis function network using genetic algorithms (NN, VR, CRR), pp. 152–157.
DAC-2009-ShengXM #algorithm #fault #multi #optimisation #standard: Soft error optimization of standard cell circuits based on gate sizing and multi-objective genetic algorithm (WS, LX, ZM), pp. 502–507.
ECSA-2008-ChardignySOT #architecture #component #object-oriented: Search-Based Extraction of Component-Based Architecture from Object-Oriented Systems (SC, AS, MO, DT), pp. 322–325.
EDM-2008-LynchAPA #classification #graph #programming: Argument graph classification with Genetic Programming and C4.5 (CL, KDA, NP, VA), pp. 137–146.
CHI-2008-GrafSSWR #interactive #user interface #using: In-car interaction using search-based user interfaces (SG, WS, AS, AW, GR), pp. 1685–1688.
CHI-2008-MatsuiY #algorithm: Genetic algorithm can optimize hierarchical menus (SM, SY), pp. 1385–1388.
ICEIS-AIDSS-2008-AccianiFMM #classification #feature model #statistics: Genetic Feature Selection and Statistical Classification of Voids in Concrete Structure (GA, GF, DM, DM), pp. 231–234.
ICEIS-AIDSS-2008-SofokleousA #data flow #generative #testing: Dynamic Search-Based Test Data Generation Focused on Data Flow Paths (AAS, ASA), pp. 27–35.
ICEIS-J-2008-PapatheocharousA08a #algorithm #approach #hybrid #modelling #network #predict #using: Hybrid Computational Models for Software Cost Prediction: An Approach Using Artificial Neural Networks and Genetic Algorithms (EP, ASA), pp. 87–100.
CIKM-2008-YangCJWZM #query: Search-based query suggestion (JMY, RC, FJ, SW, LZ, WYM), pp. 1439–1440.
ICML-2008-ShringarpureX #named: mStruct: a new admixture model for inference of population structure in light of both genetic admixing and allele mutations (SS, EPX), pp. 952–959.
ICPR-2008-ChenSXS #algorithm #identification #using: Computer graphics identification using genetic algorithm (WC, YQS, GX, WS), pp. 1–4.
ICPR-2008-ChouaibTTCV #algorithm #classification #feature model: Feature selection combining genetic algorithm and Adaboost classifiers (HC, ORT, ST, FC, NV), pp. 1–4.
ICPR-2008-KadarBS #bound #detection #evolution #image #programming: Evolving boundary detectors for natural images via Genetic Programming (IK, OBS, MS), pp. 1–4.
ICPR-2008-PerezO #invariant #learning #programming: Learning invariant region descriptor operators with genetic programming and the F-measure (CBP, GO), pp. 1–4.
ICPR-2008-YangZS #algorithm #comparison #optimisation: Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training (FY, CZ, TS), pp. 1–4.
SEKE-2008-AfzalTF #non-functional #testing: A Systematic Mapping Study on Non-Functional Search-based Software Testing (WA, RT, RF), pp. 488–493.
SEKE-2008-Neruda #ontology: Ontology-based and Evolutionary Search for Computational Agents Schemes (RN), pp. 569–572.
MoDELS-2008-ShoushaBL #algorithm #analysis #concurrent #uml: A UML/SPT Model Analysis Methodology for Concurrent Systems Based on Genetic Algorithms (MS, LCB, YL), pp. 475–489.
MoDELS-2008-ShoushaBL #algorithm #analysis #concurrent #uml: A UML/SPT Model Analysis Methodology for Concurrent Systems Based on Genetic Algorithms (MS, LCB, YL), pp. 475–489.
SAC-2008-CarvalhoLGS #identification #programming #using: Replica identification using genetic programming (MGdC, AHFL, MAG, ASdS), pp. 1801–1806.
SAC-2008-LuizPBR #approach #mobile #programming #using: A new approach to control a population of mobile robots using genetic programming (AL, FP, GB, MR), pp. 1602–1606.
SAC-2008-MaK #algorithm: Dynamic populations in genetic algorithms (Z(M, AWK), pp. 1807–1811.
SAC-2008-SeoKRK #2d #algorithm #deployment: A genetic algorithm for sensor deployment based on two-dimensional operators (JHS, YHK, HBR, SJK), pp. 1812–1813.
SAC-2008-ToledoFR #algorithm #problem #scheduling: Evaluating genetic algorithms with different population structures on a lot sizing and scheduling problem (CFMT, PMF, KAR), pp. 1777–1781.
CASE-2008-SakuraiOKT #algorithm #delivery #multi #problem: A multi-inner-world Genetic Algorithm to optimize delivery problem with interactive-time (YS, TO, SK, ST), pp. 583–590.
DAC-2008-BharathES #algorithm #automation #using: Automatic package and board decoupling capacitor placement using genetic algorithms and M-FDM (KB, EE, MS), pp. 560–565.
TACAS-2008-KatzP #model checking #programming: Model Checking-Based Genetic Programming with an Application to Mutual Exclusion (GK, DP), pp. 141–156.
ICST-2008-LefticaruI #functional #state machine #testing: Functional Search-based Testing from State Machines (RL, FI), pp. 525–528.
VLDB-2007-BatiGHS #approach #database #random testing #testing: A genetic approach for random testing of database systems (HB, LG, SH, AS), pp. 1243–1251.
ICPC-2007-Vivanco #algorithm #complexity #identification #metric #modelling #predict #source code #using: Use of a Genetic Algorithm to Identify Source Code Metrics Which Improves Cognitive Complexity Predictive Models (RAV), pp. 297–300.
ICSM-2007-BowmanBL #algorithm #multi: Multi-Objective Genetic Algorithm to Support Class Responsibility Assignment (MB, LCB, YL), pp. 124–133.
ICSM-2007-PentaHAQ #approach #communication #maintenance: The Effect of Communication Overhead on Software Maintenance Project Staffing: a Search-Based Approach (MDP, MH, GA, FQ), pp. 315–324.
CIG-2007-ButterRGHA #algorithm #game studies #student: Genetic Algorithms for Finding Optimal Strategies for a Student's Game (TB, FR, JG, TH, JA), pp. 346–351.
CIG-2007-LeighLM #algorithm #using: Using a Genetic Algorithm to Explore A*-like Pathfinding Algorithms (REL, SJL, CM), pp. 72–79.
CIG-2007-WittkampBW #comparison #game studies #learning #programming: A Comparison of Genetic Programming and Look-up Table Learning for the Game of Spoof (MW, LB, RLW), pp. 63–71.
ICEIS-AIDSS-2007-PascaleT #algorithm #image: A Niche Based Genetic Algorithm for Image Registration (GP, LT), pp. 342–347.
SIGIR-2007-AlmeidaGCC #adaptation #approach #component #programming #ranking: A combined component approach for finding collection-adapted ranking functions based on genetic programming (HMdA, MAG, MC, PC), pp. 399–406.
ESEC-FSE-2007-HarmanHLMW #generative #reduction #testing: The impact of input domain reduction on search-based test data generation (MH, YH, KL, PM, JW), pp. 155–164.
SAC-2007-Chiong #algorithm #using: Applying genetic algorithms to economy market using iterated prisoner’s dilemma (RC), pp. 733–737.
SAC-2007-MilsztajnG #3d #algorithm #markov #random #segmentation #using: Three-dimensional segmentation of brain tissues using Markov random fields and genetic algorithms (FM, KdG), pp. 745–746.
CASE-2007-LiuWL #algorithm #design #effectiveness #multi #platform #product line #towards #using: Towards Effective Multi-platforming Design of Product Family using Genetic Algorithm (ZL, YSW, KSL), pp. 300–305.
CASE-2007-YogeswaranPT #algorithm #heuristic #hybrid #problem #using: An hybrid heuristic using genetic algorithm and simulated annealing algorithm to solve machine loading problem in FMS (MY, SGP, MKT), pp. 182–187.
PDP-2007-GonzalezV #fault tolerance #on the #parallel #programming: On the Intrinsic Fault-Tolerance Nature of Parallel Genetic Programming (DLG, FFdV), pp. 450–458.
TACAS-2007-BattBW #liveness #model checking #network: Model Checking Liveness Properties of Genetic Regulatory Networks (GB, CB, RW), pp. 323–338.
CSMR-2006-Harman #maintenance #re-engineering: Search-Based Software Engineering for Maintenance and Reengineering (MH), p. 311.
CSMR-2006-OKeeffeC #maintenance: Search-Based Software Maintenance (MKO, MÓC), pp. 249–260.
CIG-2006-WittkampB #adaptation #evolution #game studies #programming #using: Evolving Adaptive Play for the Game of Spoof Using Genetic Programming (MW, LB), pp. 164–172.
ICPR-v1-2006-RiponTKI #algorithm #clustering #multi #using: Multi-Objective Evolutionary Clustering using Variable-Length Real Jumping Genes Genetic Algorithm (KSNR, CHT, SK, MKI), pp. 1200–1203.
ICPR-v2-2006-ChengCWF #algorithm #prototype: A Prototypes-Embedded Genetic K-means Algorithm (SSC, YHC, HMW, HCF), pp. 724–727.
ICPR-v2-2006-LocteauRALHT #algorithm #approximate #multi #using: Approximation of Digital Curves using a Multi-Objective Genetic Algorithm (HL, RR, SA, YL, PH, ÉT), pp. 716–719.
ICPR-v3-2006-BarbuRLAHT #algorithm #classification #graph #recognition #using: Graph Classification Using Genetic Algorithm and Graph Probing Application to Symbol Recognition (EB, RR, HL, SA, PH, ÉT), pp. 296–299.
ICPR-v3-2006-KohmuraW #algorithm #using: Determining Optimal Filters for Binarization of Degraded Characters in Color Using Genetic Algorithms (HK, TW), pp. 661–664.
ICPR-v3-2006-LernerV #classification #fuzzy #image #using: Image Classification for Genetic Diagnosis using Fuzzy ARTMAP (BL, BV), pp. 362–365.
ICPR-v3-2006-LiuW #algorithm #analysis #component #feature model #recognition: Feature Extraction with Genetic Algorithms Based Nonlinear Principal Component Analysis for Face Recognition (NL, HW), pp. 461–464.
ICPR-v3-2006-ZouB #classification #energy #image #process #programming: Human Activity Classification Based on Gait Energy Image and Coevolutionary Genetic Programming (XZ, BB), pp. 556–559.
SAC-2006-DuranX #algorithm #scheduling: The effects of two replacement strategies on a genetic algorithm for scheduling jobs on computational grids (BD, FX), pp. 960–961.
SAC-2006-ParkCS #visual notation: Visual exploration of genetic likelihood space (JWP, JFC, AMS), pp. 1335–1340.
SAC-2006-YangU #adaptation #algorithm #correlation: Adaptive mutation with fitness and allele distribution correlation for genetic algorithms (SY, SU), pp. 940–944.
CASE-2006-PonnambalamSSG #algorithm #assembly #parallel: PARALLEL POPULATIONS GENETIC ALGORITHM FOR MINIMIZING ASSEMBLY VARIATION IN SELECTIVE ASSEMBLY (SGP, SSS, SS, MG), pp. 496–500.
ICDAR-2005-OjimaKW #algorithm #using: Determining Optimal Filters for Binarization of Degraded Grayscale Characters Using Genetic Algorithms (YO, SK, TW), pp. 555–559.
ICDAR-2005-WeiMJ #algorithm #segmentation: Segmentation of Connected Chinese Characters Based on Genetic Algorithm (XW, SM, YJ), pp. 645–649.
ICSM-2005-AntoniolPH #maintenance #optimisation: Search-Based Techniques Applied to Optimization of Project Planning for a Massive Maintenance Project (GA, MDP, MH), pp. 240–249.
WCRE-2005-FatiregunHH #slicing: Search-Based Amorphous Slicing (DF, MH, RMH), pp. 3–12.
AIIDE-2005-NelsonM #interactive: Search-Based Drama Management in the Interactive Fiction Anchorhead (MJN, MM), pp. 99–104.
ICEIS-v2-2005-Diaz-GomezH #algorithm #detection #using: Improved Off-Line Intrusion Detection Using a Genetic Algorithm (PADG, DFH), pp. 66–73.
ICEIS-v4-2005-SaleemB #algorithm #grid #scheduling #using: Job Scheduling in Computational Grid Using Genetic Algorithm (MS, SB), pp. 163–169.
MLDM-2005-DuKAB #algorithm #clustering #encoding #multi: Alternative Clustering by Utilizing Multi-objective Genetic Algorithm with Linked-List Based Chromosome Encoding (JD, EEK, RA, KB), pp. 346–355.
MLDM-2005-GhoshGYB #algorithm #analysis #comparative #network: Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks (RG, MG, JY, AMB), pp. 62–70.
SEKE-2005-FerreiraV #algorithm #generative #hybrid #named #testing: TDSGen: An Environment Based on Hybrid Genetic Algorithms for Generation of Test Data (LPF, SRV), pp. 312–317.
SAC-2005-BalsaraR #model checking #predict #using: Prediction of inherited and genetic mutations using the software model checker SPIN (ZB, SR), pp. 208–209.
SAC-2005-BuenoTT #algorithm #approximate #query #similarity #using: Accelerating approximate similarity queries using genetic algorithms (RB, AJMT, CTJ), pp. 617–622.
SAC-2005-DanielOS #algorithm #multi: Airspace congestion smoothing by multi-objective genetic algorithm (DD, SO, SP), pp. 907–912.
SAC-2005-FalcoTCG #algorithm #clustering: A new variable-length genome genetic algorithm for data clustering in semeiotics (IDF, ET, ADC, FG), pp. 923–927.
SAC-2005-FalcoTCG05a #approach #clustering #grammarware #novel #programming: A novel grammar-based genetic programming approach to clustering (IDF, ET, ADC, FG), pp. 928–932.
SAC-2005-FalcoTCP #approach #induction #programming: Inductive inference of chaotic series by Genetic Programming: a Solomonoff-based approach (IDF, ET, ADC, AP), pp. 957–958.
SAC-2005-GoettlBJ #algorithm #email: Call me e-mail: arranging the keyboard with a permutation-coded genetic algorithm (JSG, AWB, BAJ), pp. 947–951.
SAC-2005-HouD #analysis #design #detection: Immunity-based intrusion detection system design, vulnerability analysis, and GENERTIA’s genetic arms race (HH, GVD), pp. 952–956.
CGO-2005-LiGP #algorithm #optimisation #sorting: Optimizing Sorting with Genetic Algorithms (XL, MJG, DAP), pp. 99–110.
DATE-2005-HamannE #optimisation: TDMA Time Slot and Turn Optimization with Evolutionary Search Techniques (AH, RE), pp. 312–317.
DATE-2005-McConaghyEG #canonical #generative #named #programming: CAFFEINE: Template-Free Symbolic Model Generation of Analog Circuits via Canonical Form Functions and Genetic Programming (TM, TE, GGEG), pp. 1082–1087.
DATE-2005-SomaniCP #contest #design #optimisation: Mixing Global and Local Competition in Genetic Optimization based Design Space Exploration of Analog Circuits (AS, PPC, AP), pp. 1064–1069.
HPDC-2005-AnandS #algorithm #automation #clustering: Genetic algorithm based automatic data partitioning scheme for HPF (SKA, YNS), pp. 289–290.
ICLP-2005-LambertCMRS #algorithm #constraints: Hybridization of Genetic Algorithms and Constraint Propagation for the BACP (TL, CC, EM, MCR, FS), pp. 421–423.
HT-2004-OngL #algorithm #approach #generative #interactive: A genetic algorithm approach to interactive narrative generation (TO, JJL), pp. 181–182.
ITiCSE-WGR-2004-Pillay #programming: A first course in genetic programming (NP), pp. 93–96.
SCAM-2004-FatiregunHH #algorithm #evolution #sequence #using: Evolving Transformation Sequences using Genetic Algorithms (DF, MH, RMH), pp. 66–75.
ICPR-v1-2004-LiHS #feature model #image #programming #retrieval #semantics #using: Semantic Feature Extraction Using Genetic Programming in Image Retrieval (QL, HH, ZS), pp. 648–651.
ICPR-v1-2004-TremblaySM #algorithm #multi #nearest neighbour #optimisation #random #using: Optimizing Nearest Neighbour in Random Subspaces using a Multi-Objective Genetic Algorithm (GT, RS, PM), p. 208.
ICPR-v2-2004-FayolleRT #3d #algorithm #modelling #re-engineering #using: 3D Shape Reconstruction of Template Models Using Genetic Algorithms (PAF, CR, CT), pp. 269–272.
ICPR-v2-2004-RayBP #algorithm #problem: New Operators of Genetic Algorithms for Traveling Salesman Problem (SSR, SB, SKP), pp. 497–500.
ICPR-v3-2004-ChenCG #adaptation #algorithm #detection #self: Resampling for Face Detection by Self-Adaptive Genetic Algorithm (JC, XC, WG), pp. 822–825.
ICPR-v3-2004-DavidL #using: Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis (AD, BL), pp. 490–493.
TOOLS-USA-2003-Bouktif04 #approach #predict #quality #set: Improving Rule Set Based Software Quality Prediction: A Genetic Algorithm-based Approach (SB), pp. 227–241.
SIGAda-2004-SoriconeN #algorithm #analysis #comparative #implementation: Comparative analysis of genetic algorithm implementations (RS, MN), pp. 35–38.
ASE-2004-KhorG #algorithm #automation #branch #concept analysis #testing #using: Using a Genetic Algorithm and Formal Concept Analysis to Generate Branch Coverage Test Data Automatically (SK, PG), pp. 346–349.
ICSE-2004-HarmanW #re-engineering: Getting Results from Search-Based Approaches to Software Engineering (MH, JW), pp. 728–729.
SAC-2004-EggermontKK #classification #clustering #programming: Genetic Programming for data classification: partitioning the search space (JE, JNK, WAK), pp. 1001–1005.
SAC-2004-FeltlR #algorithm #hybrid #problem: An improved hybrid genetic algorithm for the generalized assignment problem (HF, GRR), pp. 990–995.
SAC-2004-KarabudakHB #algorithm #using: A call admission control scheme using genetic algorithms (DK, CCH, BB), pp. 1151–1158.
SAC-2004-Liew #algorithm #using: Using a genetic algorithm to optimize the gape of a snake jaw (CWL), pp. 975–979.
SAC-2004-LuLFDB #algorithm #clustering #named #performance: FGKA: a Fast Genetic K-means Clustering Algorithm (YL, SL, FF, YD, SJB), pp. 622–623.
DATE-v2-2004-LorenzM #algorithm #code generation #using: Phase Coupled Code Generation for DSPs Using a Genetic Algorithm (ML, PM), pp. 1270–1275.
ICDAR-2003-ChaTS #algorithm #optimisation #recognition #similarity #using: Optimizing Binary Feature Vector Similarity Measure using Genetic Algorithm and Handwritten Character Recognition (SHC, CCT, SNS), pp. 662–665.
ICDAR-2003-HaoLS03a #algorithm #classification #comparison #set: Comparison of Genetic Algorithm and Sequential Search Methods for Classifier Subset Selection (HH, CLL, HS), pp. 765–769.
ICDAR-2003-MoritaSBS03a #algorithm #feature model #multi #recognition #using #word: Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition (MEM, RS, FB, CYS), pp. 666–670.
ICDAR-2003-OliveiraSBS #algorithm #approach #feature model #multi: Feature Selection for Ensembles: A Hierarchical Multi-Objective Genetic Algorithm Approach (LESdO, RS, FB, CYS), p. 676–?.
ICDAR-2003-StefanoCM #algorithm #classification #reliability: Exploiting Reliability for Dynamic Selection of Classifiers by Means of Genetic Algorithms (CDS, ADC, AM), pp. 671–675.
CSMR-2003-AntoniolPN #algorithm #clustering #library: Moving to Smaller Libraries via Clustering and Genetic Algorithms (GA, MDP, MN), pp. 307–316.
ICEIS-v2-2003-HashemGH #ad hoc #algorithm #mobile #network: A Quality-Of-Service-Aware Genetic Algorithm for the Source Routing in Ad-Hoc Mobile Networks (MH, SG, MH), pp. 589–599.
ECIR-2003-AlfonsecaR #algorithm #generative: Generating Extracts with Genetic Algorithms (EA, PR), pp. 511–519.
SAC-2003-AuyeungGD #algorithm #multi #scheduling: Multi-Heuristic List Scheduling Genetic Algorithms for Task Scheduling (AA, IG, HKD), pp. 721–724.
SAC-2003-GondraS #algorithm #parallel: A Coarse-Grain Parallel Genetic Algorithm for Finding Ramsey Numbers (IG, MHS), pp. 2–8.
SAC-2003-HareJ #algorithm #problem: A Spanning Tree-Based Genetic Algorithm for Some Instances of the Rectilinear Steiner Problem with Obstacles (RMH, BAJ), pp. 725–729.
SAC-2003-NgGLC #algorithm #clustering #database: Applying Genetic Algorithms in Database Partitioning (VTYN, NG, DML, CKC), pp. 544–549.
PDP-2003-HidalgoPLBTG #algorithm #hybrid #parallel: Hybrid Parallelization of a Compact Genetic Algorithm (JIH, MP, JL, RB, FT, OG), pp. 449–455.
FATES-2003-GuoHHD #algorithm #sequence #using: Computing Unique Input/Output Sequences Using Genetic Algorithms (QG, RMH, MH, KD), pp. 164–177.
ECIR-2002-BoughanemT #case study #documentation #optimisation #query #retrieval #using: A Study on Using Genetic Niching for Query Optimisation in Document Retrieval (MB, LT), pp. 135–149.
ICPR-v1-2002-GongY #algorithm #estimation #multi: Multi-Resolution Genetic Algorithm and Its Application in Motion Estimation (MG, YHY), pp. 644–647.
ICPR-v1-2002-OliveiraSBS #algorithm #feature model #multi #recognition #using: Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Digit Recognition (LESdO, RS, FB, CYS), pp. 568–571.
ICPR-v2-2002-OhLM #algorithm #feature model: Local Search-Embedded Genetic Algorithms for Feature Selection (ISO, JSL, BRM), pp. 148–151.
ICPR-v3-2002-Sakano #how #learning #query: Genetic Translator: How to Apply Query Learning to Practical OCR (HS), pp. 184–187.
ICPR-v4-2002-HuY #algorithm #estimation #robust #using: Robust Estimation of Trifocal Tensor Using Messy Genetic Algorithm (MH, BY), pp. 347–350.
ICPR-v4-2002-ToyamaFSM #algorithm #assembly #using: Assembly of Puzzles Using a Genetic Algorithm (FT, YF, KS, JM), pp. 389–392.
SEKE-2002-BriandFL #algorithm #integration #metric #order #using: Using genetic algorithms and coupling measures to devise optimal integration test orders (LCB, JF, YL), pp. 43–50.
ASIA-PEPM-2002-SheardL #analysis #using: Search-based binding time analysis using type-directed pruning (TS, NL), pp. 20–31.
SIGAda-2002-NevilleS #algorithm: Developing a generic genetic algorithm (MN, AS), pp. 45–52.
ASE-2002-AzarPBKS #adaptation #algorithm #modelling #predict #quality: Combining and Adapting Software Quality Predictive Models by Genetic Algorithms (DA, DP, SB, BK, HAS), pp. 285–288.
SAC-2002-BillhardtBM #algorithm #retrieval #using: Using genetic algorithms to find suboptimal retrieval expert combinations (HB, DB, VM), pp. 657–662.
SAC-2002-NyakoeOT #algorithm #multi #using: Acquisition of modulation pulses for a multi-robot system using genetic algorithm (GNN, MO, ST), pp. 568–573.
SAC-2002-Pillay #algorithm #induction #programming #using: Using genetic programming for the induction of novice procedural programming solution algorithms (NP), pp. 578–583.
DATE-2002-AloulMS #satisfiability #using: Search-Based SAT Using Zero-Suppressed BDDs (FAA, MNM, KAS), p. 1082.
PDP-2002-FolinoPS #induction #parallel #programming: Improving Induction Decision Trees with Parallel Genetic Programming (GF, CP, GS), pp. 181–18.
PDP-2002-ToroOFD #algorithm #named #optimisation #parallel: PSFGA: A Parallel Genetic Algorithm for Multiobjective Optimization (FdT, JO, JF, AFD).
TACAS-2002-GodefroidK #algorithm #scalability #using: Exploring Very Large State Spaces Using Genetic Algorithms (PG, SK), pp. 266–280.
ICDAR-2001-HusseinWK #algorithm #feature model #overview: Genetic Algorithms for Feature Selection and Weighting, A Review and Study (FH, RKW, NNK), p. 1240–?.
ICDAR-2001-SuralD #algorithm #feature model: A Genetic Algorithm for Feature Selection in a Neuro-Fuzzy OCR System (SS, PKD), pp. 987–991.
ICML-2001-GlickmanS #learning #memory management #policy #probability: Evolutionary Search, Stochastic Policies with Memory, and Reinforcement Learning with Hidden State (MRG, KPS), pp. 194–201.
ICML-2001-RozsypalK #algorithm #classification #nearest neighbour #using: Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes (AR, MK), pp. 449–456.
SEKE-2001-BuenoJ #algorithm #automation #generative #testing #using: Automatic Test Data Generation for Program Paths Using Genetic Algorithms (PMSB, MJ), pp. 2–9.
SAC-2001-DeermanLP #algorithm #predict #problem: Linkage-learning genetic algorithm application to the protein structure prediction problem (KRD, GBL, RP), pp. 333–339.
SAC-2001-FernandesTMR #algorithm #problem #using: Using assortative mating in genetic algorithms for vector quantization problems (CMF, RT, CM, ACR), pp. 361–365.
SAC-2001-GaliassoW #algorithm #hybrid #multi #problem: A hybrid genetic algorithm for the point to multipoint routing problem with single split paths (PG, RLW), pp. 327–332.
PDP-2001-BaragliaPHLT #algorithm #clustering #parallel: A Parallel Compact Genetic Algorithm for Multi-FPGA Partitioning (RB, RP, JIH, JL, FT), pp. 113–120.
TACAS-2001-Khurshid #algorithm #testing #using: Testing an Intentional Naming Scheme Using Genetic Algorithms (SK), pp. 358–372.
ECDL-2000-RamosM #clustering #segmentation: Map Segmentation by Colour Cube Genetic K-Mean Clustering (VR, FM), pp. 319–323.
CIKM-2000-BoughanemT #algorithm #optimisation #query #using: Query Optimization Using An Improved Genetic Algorithm (MB, LT), pp. 368–373.
ICPR-v1-2000-CinqueLPCM #algorithm #parametricity #segmentation: Optimal Range Segmentation Parameters through Genetic Algorithms (LC, SL, GP, RC, SM), pp. 1474–1477.
ICPR-v1-2000-PanM #3d #algorithm #estimation: 3D Motion Estimation of Human by Genetic Algorithm (CP, SM), pp. 1159–1163.
ICPR-v3-2000-JiangK #3d #adaptation #algorithm #image: 3D MR Image Restoration by Combining Local Genetic Algorithm with Adaptive Pre-Conditioning (TJ, FK), pp. 3302–3305.
ICPR-v3-2000-TraverRI #algorithm #approximate #performance: Exploring the Performance of Genetic Algorithms as Polygonal Approximators (VJT, GR, JMIQ), pp. 3774–3777.
KDD-2000-KimSM #feature model #learning: Feature selection in unsupervised learning via evolutionary search (YK, WNS, FM), pp. 365–369.
TOOLS-EUROPE-2000-BaudryHT #component #named: Testing-for-Trust: The Genetic Selection Model Applied to Component Qualification (BB, VLH, YLT), pp. 108–119.
SAC-2000-AguiarDPR #algorithm #named #process: EEGSolver — Brain Activity and Genetic Algorithms (PA, AD, SP, ACR), pp. 80–84.
SAC-2000-FernandesTR #algorithm #named: niGAVaPS — Outbreeding in Genetic Algorithms (CMF, RT, ACR), pp. 477–482.
SAC-2000-KhuriWS #algorithm #graph: A Grouping Genetic Algorithm for Coloring the Edges of Graphs (SK, TW, YS), pp. 422–427.
SAC-2000-MarchioriS #algorithm #constraints #problem #random: A Genetic Local Search Algorithm for Random Binary Constraint Satisfaction Problems (EM, AGS), pp. 458–462.
SAC-2000-RaidlJ #algorithm #problem: A Weighted Coding in a Genetic Algorithm for the Degree-Constrained Minimum Spanning Tree Problem (GRR, BAJ), pp. 440–445.
SAC-2000-VeldhuizenL #algorithm #multi #optimisation: Multiobjective Optimization with Messy Genetic Algorithms (DAvV, GBL), pp. 470–476.
HCI-CCAD-1999-Chiu #algorithm #approach #learning #using: Learning path planning using genetic algorithm approach (CC), pp. 71–75.
HCI-EI-1999-Matsuda #algorithm #ambiguity: Genetic Algorithm (GA) as a Means of Ambiguous Decision Support by AHP (NM), pp. 764–768.
ICEIS-1999-Habrant #database #learning #network #predict: Structure Learning of Bayesian Networks from Databases by Genetic Algorithms-Application to Time Series Prediction in Finance (JH), pp. 225–231.
SAC-1999-CraneWS #algorithm #multi #pipes and filters #scheduling #using: Scheduling of Multi-Product Fungible Liquid Pipelines Using Genetic Algorithms (DSC, RLW, DAS), pp. 280–285.
SAC-1999-JonesK #algorithm #network #using: The Use of Genetic Algorithms and Neural Networks to Investigate the Baldwin Effect (MJ, AHK), pp. 275–279.
SAC-1999-KatayamaN #algorithm #problem #using: A New Iterated Local Search Algorithm Using Genetic Crossover for the Traveling Salesman Problem (KK, HN), pp. 302–306.
SAC-1999-KesslerH #programming: Depth-Fair Crossover in Genetic Programming (MK, TH), pp. 319–323.
SAC-1999-Raidl #algorithm #multi #problem: A Weight-Coded Genetic Algorithm for the Multiple Container Packing Problem (GRR), pp. 291–296.
SAC-1999-Rivera-Gallego #algorithm #distance #matrix #problem: A Genetic Algorithm for Solving the Euclidean Distance Matrices Completion Problem (WRG), pp. 286–290.
DAC-1999-Grajcar #algorithm #multi #scheduling: Genetic List Scheduling Algorithm for Scheduling and Allocation on a Loosely Coupled Heterogeneous Multiprocessor System (MG), pp. 280–285.
DATE-1999-CornoRS #algorithm #approximate #equivalence #verification: Approximate Equivalence Verification of Sequential Circuits via Genetic Algorithms (FC, MSR, GS), pp. 754–755.
DATE-1999-Hsiao #estimation #optimisation #scalability #using: Peak Power Estimation Using Genetic Spot Optimization for Large VLSI Circuits (MSH), p. 175–?.
LCTES-1999-CooperSS #algorithm #optimisation #using: Optimizing for Reduced Code Space using Genetic Algorithms (KDC, PJS, DS), pp. 1–9.
ICML-1998-AlerBI #approach #learning #multi #programming: Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach (RA, DB, PI), pp. 10–18.
ICPR-1998-JiangK #image: Search-based contour closure in range images (XJ, PK), pp. 16–18.
ICPR-1998-KawaguchiN #algorithm #detection #using: Ellipse detection using a genetic algorithm (TK, RiN), pp. 141–145.
ICPR-1998-KawaguchiN98a #algorithm #recognition: Recognition of occluded objects by a genetic algorithm (TK, MN), pp. 233–237.
ICPR-1998-QiTD #algorithm #classification #feedback: Fingerprint classification system with feedback mechanism based on genetic algorithm (YQ, JT, RD), pp. 163–165.
ICPR-1998-Rizzi #approach #clustering #graph: A genetic approach to hierarchical clustering of Euclidean graphs (SR), pp. 1543–1545.
ICPR-1998-ToyamaSM #algorithm #estimation #modelling #using: Model-based pose estimation using genetic algorithm (FT, KS, JM), pp. 198–201.
ICPR-1998-Visa #algorithm #image #segmentation: A genetic algorithm based method to improve image segmentation (AV), pp. 1015–1017.
KDD-1998-Bhattacharyya #algorithm #modelling #using: Direct Marketing Response Models Using Genetic Algorithms (SB), pp. 144–148.
SAC-1998-CappJ #algorithm #problem: A weight-coded genetic algorithm for the minimum weight triangulation problem (KC, BAJ), pp. 327–331.
SAC-1998-DecleirHK #retrieval #video: A genetic model for video content based retrieval (CD, MSH, JK), pp. 458–459.
SAC-1998-KangH #algorithm #graph transformation #problem #using: Solving the rural postman problem using a genetic algorithm with a graph transformation (MJK, CGH), pp. 356–360.
SAC-1998-Kim #constraints: Riemann mapping based constraint handling for evolutionary search (DGK), pp. 379–385.
SAC-1998-Konstam #algorithm #classification #programming #using: Group classification using a mix of genetic programming and genetic algorithms (AHK), pp. 308–312.
SAC-1998-Marchiori98a #algorithm #clique #heuristic #problem: A simple heuristic based genetic algorithm for the maximum clique problem (EM), pp. 366–373.
SAC-1998-McGuireS #algorithm #linear #using: Using a genetic algorithm to find good linear error-correcting codes (KMM, RES), pp. 332–337.
SAC-1998-MerkleGL #algorithm #performance #scalability: Scalability of an MPI-based fast messy genetic algorithm (LDM, GHGJ, GBL), pp. 386–393.
SAC-1998-Nemer-PreeceW #algorithm #parallel #problem #satisfiability: Parallel genetic algorithm to solve the satisfiability problem (NNP, RWW), pp. 23–28.
SAC-1998-WieseG #algorithm: Keep-best reproduction: a selection strategy for genetic algorithms (KCW, SDG), pp. 343–348.
HPDC-1998-ChenWCK #algorithm #automation #optimisation #parallel #performance #using: Automatic Parallel I/O Performance Optimization Using Genetic Algorithms (YC, MW, YC, SWK), pp. 155–162.
ITiCSE-1997-BurkeV #algorithm #optimisation #tutorial: A genetic algorithms tutorial tool for numerical function optimisation (EKB, DBV), pp. 27–30.
ASE-1997-MichaelMSW #algorithm #generative #testing: Genetic Algorithms for Dynamic Test Data Generation (CCM, GM, MS, CCW), pp. 307–308.
SAC-1997-ChungP #algorithm #problem #question #representation #why: Why is problem-dependent and high-level representation scheme better in a genetic algorithm? (SC, RP), pp. 239–246.
SAC-1997-FeielR #approach #image: A genetic approach to color image compression (HF, SR), pp. 252–256.
SAC-1997-Julstrom #adaptation #algorithm: Adaptive operator probabilities in a genetic algorithm that applies three operators (BAJ), pp. 233–238.
SAC-1997-KaiserLMGP #algorithm #hybrid #predict: Polypeptide structure prediction: real-value versus binary hybrid genetic algorithms (CEK, GBL, LDM, GHGJ, RP), pp. 279–286.
SAC-1997-KozaBAK #evolution #programming #using: Evolution using genetic programming of a low-distortion, 96 decibel operational amplifier (JRK, FHBI, DA, MAK), pp. 207–216.
SAC-1997-MoonLK #2d #clustering: Genetic VLSI circuit partitioning with two-dimensional geographic crossover and zigzag mapping (BRM, YSL, CKK), pp. 274–278.
SAC-1997-OchiDF #algorithm #design #implementation #parallel #problem: Design and implementation of a parallel genetic algorithm for the travelling purchaser problem (LSO, LMdAD, RMVF), pp. 257–262.
EDTC-1997-PomeranzR #generative #on the #optimisation #testing: On improving genetic optimization based test generation (IP, SMR), pp. 506–511.
ICPR-1996-BalaDHVW #architecture #detection #hybrid #using #visual notation: Visual routine for eye detection using hybrid genetic architectures (JWB, KD, JH, HV, HW), pp. 606–610.
ICPR-1996-BrunnstromS #algorithm #for free: Genetic algorithms for free-form surface matching (KB, AJS), pp. 689–693.
ICPR-1996-ChaiZZS #algorithm #linear: Binary linear decision tree with genetic algorithm (BBC, XZ, YZ, JS), pp. 530–534.
ICPR-1996-ChenNANT #algorithm #image #re-engineering: Reconstruction of neutron penumbral images by a constrained genetic algorithm (YWC, ZN, KA, IN, ST), pp. 525–529.
ICPR-1996-ChenNFT #algorithm #image #parallel: A parallel genetic algorithm for image restoration (YWC, ZN, XF, ST), pp. 694–698.
ICPR-1996-HataSKK #algorithm #using: Shape extraction of transparent object using genetic algorithm (SH, YS, SK, KK), pp. 684–688.
ICPR-1996-Johnson #automation #programming #using #visual notation: Automated creation of visual routines using genetic programming (MPJ), pp. 951–956.
ICPR-1996-OhyaK #algorithm #detection #image #using: Detecting facial expressions from face images using a genetic algorithm (JO, FK), pp. 649–653.
ICPR-1996-SaitoM #algorithm #image #modelling #multi #using: Object modeling from multiple images using genetic algorithms (HS, MM), pp. 669–673.
ICPR-1996-SakanoKM #algorithm #image: Seeing the character images that an OCR system sees-analysis by genetic algorithm (HS, HK, NM), pp. 411–416.
ICPR-1996-TianT96a #3d #algorithm #image #sequence #using: 3D shape recovery from two-color image sequences using a genetic algorithm (YlT, HTT), pp. 674–678.
ICPR-1996-WangF #algorithm #analysis #overview #pattern matching #pattern recognition #recognition: Applying genetic algorithms on pattern recognition: an analysis and survey (YKW, KCF), pp. 740–744.
ICPR-1996-WangF96a #algorithm #detection #geometry: Detection of geometric shapes by the combination of genetic algorithm and subpixel accuracy (YW, NF), pp. 535–539.
KDD-1996-FlockhartR #approach #data mining #mining: A Genetic Algorithm-Based Approach to Data Mining (IWF, NJR), pp. 299–302.
KDD-1996-RyuE #programming #query #using: Deriving Queries from Results Using Genetic Programming (TWR, CFE), pp. 303–306.
SAC-1996-AbualiWS #algorithm #design #problem #set #using: Solving the subset interconnection design problem using genetic algorithms (FNA, RLW, DAS), pp. 299–304.
SAC-1996-BedarhallyPC #algorithm #approach #product line: A family elitist approach in genetic algorithms (PVB, RAP, WSC), pp. 238–244.
SAC-1996-CorcoranW #algorithm: Reducing disruption of superior building blocks in genetic algorithms (ALC, RLW), pp. 269–276.
SAC-1996-DurandAN #algorithm #automation #using: Automatic aircraft conflict resolution using genetic algorithms (ND, JMA, JN), pp. 289–298.
SAC-1996-HasemiPAHP #approach #classification: A rough-genetic approach for classification of complex data (RH, BAP, RBA, WGH, MGP), pp. 282–288.
SAC-1996-HoeltingSW #algorithm #network #using: Finding investigator tours in telecommunication networks using genetic algorithms (CJH, DAS, RLW), pp. 82–87.
SAC-1996-HoeltingSW96a #algorithm #precedence #problem #using: A genetic algorithm for the minimum broadcast time problem using a global precedence vector (CJH, DAS, RLW), pp. 258–262.
SAC-1996-Julstom #algorithm #representation: Representing rectilinear Steiner trees in genetic algorithms (BAJ), pp. 245–250.
SAC-1996-MerkleGLGP #algorithm #energy #hybrid: Hybrid genetic algorithms for polypeptide energy minimization (LDM, RLG, GBL, GHGJ, RP), pp. 305–311.
SAC-1996-Neubauer #adaptation #algorithm: Genetic algorithms for non-linear adaptive filters in digital signal processing (AN), pp. 519–522.
SAC-1996-Pham #algorithm #fuzzy #modelling: Genetic algorithm for fuzzy modeling of robotic manipulators (TTP), pp. 600–604.
HPDC-1996-KumarSSG #algorithm #distributed #problem #robust: Robust and Distributed Genetic Algorithm for Ordering Problems (AK, AS, AS, RKG), pp. 253–262.
ICDAR-v1-1995-TanahashiSY #algorithm #image #using: Recovering decorative patterns of ceramic objects from a monocular image using a genetic algorithm (HT, KS, KY), pp. 339–342.
ICDAR-v2-1995-BontempiM #prototype #towards: Towards a genetic based prototyper for character shapes (BB, AM), pp. 694–697.
CIKM-1995-Graves #design #knowledge base: Application of Knowledge Base Design Techniques to Genetic Markers (MG), pp. 348–354.
ICML-1995-BalujaC #algorithm #standard: Removing the Genetics from the Standard Genetic Algorithm (SB, RC), pp. 38–46.
ICML-1995-Lang95a #problem #synthesis: Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza’s (KJL), pp. 340–343.
KDD-1995-AugierVK #algorithm #first-order #learning #logic: Learning First Order Logic Rules with a Genetic Algorithm (SA, GV, YK), pp. 21–26.
SAC-1995-AbualiWS95a #algorithm #morphism #problem #using: Solving the three-star tree isomorphism problem using genetic algorithms (FNA, RLW, DAS), pp. 337–344.
SAC-1995-CrawfordVW #algorithm #detection #multi #using: Detecting multiple outliers in regression data using genetic algorithms (KDC, DJV, RLW), pp. 351–356.
SAC-1995-Gibson #algorithm #data type #multi #optimisation #problem: A genetic algorithm for optimizing problems with multiple disparate data types (GMG), pp. 300–304.
SAC-1995-GopalanHSDS #fuzzy #problem: Fuzzy genetic controllers for the autonomous rendezvous and docking problem (VG, AH, MRS, RWD, BS), pp. 532–536.
SAC-1995-GrimRP #3d #algorithm #re-engineering #using: Use of genetic algorithms in three-dimensional reconstruction in carbon black aggregates (RJG, JRR, LDP), pp. 288–292.
SAC-1995-HalgamugeBG #algorithm #classification #comparison #generative #heuristic #rule-based: Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers (SKH, AB, MG), pp. 580–585.
SAC-1995-Julstrom #algorithm #problem: Very greedy crossover in a genetic algorithm for the traveling salesman problem (BAJ), pp. 324–328.
SAC-1995-LiangL #algorithm #matrix #representation #scheduling #using: A sparse matrix representation for production scheduling using genetic algorithms (SJTL, JML), pp. 313–317.
SAC-1995-ParkC #combinator #effectiveness #on the #optimisation: On the effectiveness of genetic search in combinatorial optimization (KP, BC), pp. 329–336.
SAC-1995-SmithDS #algorithm #inheritance: Fitness inheritance in genetic algorithms (RES, BAD, SAS), pp. 345–350.
SAC-1995-ThuenteS #algorithm #hybrid #problem #programming: Mathematical programming in a hybrid genetic algorithm for Steiner point problems (DJT, PS), pp. 357–363.
DAC-1995-KruiskampL #algorithm #named #synthesis: DARWIN: CMOS Opamp Synthesis by Means of a Genetic Algorithm (WK, DL), pp. 433–438.
DAC-1995-RudnickP #generative #testing: Combining Deterministic and Genetic Approaches for Sequential Circuit Test Generation (EMR, JHP), pp. 183–188.
ICML-1994-GiordanaSZ #algorithm #concept #learning: Learning Disjunctive Concepts by Means of Genetic Algorithms (AG, LS, FZ), pp. 96–104.
ICML-1994-OpitzS #knowledge-based #network #using: Using Genetic Search to Refine Knowledge-based Neural Networks (DWO, JWS), pp. 208–216.
ICML-1994-RoscaB #programming #self: Hierarchical Self-Organization in Genetic programming (JPR, DHB), pp. 251–258.
SAC-1994-AbualiSW #algorithm #design #network #probability #using: Designing telecommunications networks using genetic algorithms and probabilistic minimum spanning trees (FNA, DAS, RLW), pp. 242–246.
SAC-1994-CorcoranH #algorithm #database #distributed: A genetic algorithm for fragment allocation in a distributed database system (ALC, JH), pp. 247–250.
SAC-1994-CorcoranW #algorithm #parallel #problem #scheduling: A parallel island model genetic algorithm for the multiprocessor scheduling problem (ALC, RLW), pp. 483–487.
SAC-1994-GordonBW #algorithm #performance #problem: A note on the performance of genetic algorithms on zero-one knapsack problems (VSG, APWB, DW), pp. 194–195.
SAC-1994-GordonMW #algorithm #locality: Cellular genetic algorithms as function optimizers: locality effects (VSG, KEM, DW), pp. 237–241.
SAC-1994-Janikow #algorithm #fuzzy #learning: A genetic algorithm for learning fuzzy controllers (CZJ), pp. 232–236.
SAC-1994-Julstrom #algorithm #performance #problem: Seeding the population: improved performance in a genetic algorithm for the rectilinear Steiner problem (BAJ), pp. 222–226.
SAC-1994-KarunanithiC #algorithm: A ring loading application of genetic algorithms (NK, TC), pp. 227–231.
SAC-1994-Khuri #algorithm: Walsh and Haar functions in genetic algorithms (SK), pp. 201–205.
SAC-1994-KhuriBH #algorithm #multi #problem: The zero/one multiple knapsack problem and genetic algorithms (SK, TB, JH), pp. 188–193.
SAC-1994-Konstam #algorithm #classification #using: N-group classification using genetic algorithms (AHK), pp. 212–216.
SAC-1994-MerkleL #algorithm #analysis #parallel #performance: An initial analysis of data parallelism in the fast messy genetic algorithm (LDM, GBL), pp. 488–492.
SAC-1994-WarwickT #algorithm #problem #using: Using a genetic algorithm to tackle the processors configuration problem (TW, EPKT), pp. 217–221.
SAC-1994-XiaoW #algorithm #using: Molecular docking using genetic algorithms (YLX, DEW), pp. 196–200.
DAC-1994-BuiM #algorithm #clustering #hybrid #performance #problem: A Fast and Stable Hybrid Genetic Algorithm for the Ratio-Cut Partitioning Problem on Hypergraphs (TNB, BRM), pp. 664–669.
DAC-1994-RudnickPGN #algorithm #framework #generative #testing: Sequential Circuit Test Generation in a Genetic Algorithm Framework (EMR, JHP, GSG, TMN), pp. 698–704.
EDAC-1994-EsbensenM #algorithm #graph #problem: A Genetic Algorithm for the Steiner Problem in a Graph (HE, PM), pp. 402–406.
EDAC-1994-RudnickHSP #algorithm #generative #testing: Application of Simple Genetic Algorithms to Sequential Circuit Test Generation (EMR, JGH, DGS, JHP), pp. 40–45.
CIKM-1993-EickJ #algorithm #classification #learning: Learning Bayesian Classification Rules through Genetic Algorithms (CFE, DJ), pp. 305–313.
CIKM-1993-Karr #algorithm #design #modelling #process: Genetic Algorithms for Modelling, Design, and Process Control (CLK), pp. 233–238.
SAC-1993-ChuD #algorithm #convergence: The Effect of Population Structure on the Rate of Convergence of Genetic Algorithms (PHC, SAD), pp. 147–151.
SAC-1993-CorcoranW #algorithm #named #research: LibGA: A User-Friendly Workbench for Order-Based Genetic Algorithm Research (ALC, RLW), pp. 111–117.
SAC-1993-FrederickSW #algorithm #metric #network #problem: The Hamming Metric in Genetic Algorithms and Its Application to Two Network Problems (WGF, RLS, CMW), pp. 126–130.
SAC-1993-GuuS #performance #sequence: An Efficient Storage Scheme for Aligned Genetic Sequences (YWG, SS), pp. 139–146.
SAC-1993-Konstam #algorithm #analysis #linear #using: Linear Discriminant Analysis Using Genetic Algorithms (AHK), pp. 152–156.
SAC-1993-PurdinH #approach: A Genetic-Algorithm Approach to Solving Crossword Puzzles (TDMP, GH), pp. 263–270.
SAC-1993-RankinWHS #algorithm #evaluation #hybrid #problem: A Hybrid Genetic Algorithm for an NP-Complete Problem with an Expensive Evaluation Function (RR, RWW, GH, JS), pp. 251–256.
SAC-1993-SekharanW #algorithm: Manipulating Subpopulations of Feasible and Infeasible Solutions in Genetic Algorithms (DAS, RLW), pp. 118–125.
PDP-1993-RebaudengoR #algorithm #analysis #migration #parallel: An experimental analysis of the effects of migration in parallel genetic algorithms (MR, MSR), pp. 232–238.
ML-1992-GiordanaS #algorithm #concept #learning #using: Learning Structured Concepts Using Genetic Algorithms (AG, CS), pp. 169–178.
JICSLP-1992-Overbeek #analysis #logic programming #sequence #tutorial: Logic Programming and Genetic Sequence Analysis: a Tutorial (RAO), pp. 32–34.
ML-1991-YamanishiK #learning #probability #sequence: Learning Stochastic Motifs from Genetic Sequences (KY, AK), pp. 467–471.
ML-1990-Garis #programming: Genetic Programming (HdG), pp. 132–139.
ML-1990-KadabaN #algorithm #automation #parametricity #performance: Improving the Performance of Genetic Algorithms in Automated Discovery of Parameters (NK, KEN), pp. 140–148.
ML-1990-McCallumS #algorithm #using: Using Genetic Algorithms to Learn Disjunctive Rules from Examples (AM, KAS), pp. 149–152.
ML-1989-CaruanaSE #algorithm #bias #induction #multi #using: Using Multiple Representations to Improve Inductive Bias: Gray and Binary Coding for Genetic Algorithms (RC, JDS, LJE), pp. 375–378.
ML-1989-Fogarty #algorithm #incremental #learning #realtime: An Incremental Genetic Algorithm for Real-Time Learning (TCF), pp. 416–419.
ML-1989-Grefenstette #algorithm #incremental #learning: Incremental Learning of Control Strategies with Genetic algorithms (JJG), pp. 340–344.
ML-1988-CaruanaS #algorithm #bias #representation: Representation and Hidden Bias: Gray vs. Binary Coding for Genetic Algorithms (RC, JDS), pp. 153–161.
ML-1988-Quinlan #classification #comparison #empirical: An Empirical Comparison of Genetic and Decision-Tree Classifiers (JRQ), pp. 135–141.
ML-1988-SannierG #adaptation #approach #distributed #named: Midgard: A Genetic Approach to Adaptive Load Balancing for Distributed Systems (AVSI, EDG), pp. 174–180.