53 papers:
CASE-2015-LuoKNCS #distributed- Asynchronous distributed information leader selection in robotic swarms (WL, SSK, SN, NC, KPS), pp. 606–611.
CASE-2015-RoyelYLLH #identification #optimisation #parametricity #using- A hysteresis model and parameter identification for MR pin joints using immune particle swarm optimization (SR, YY, YL, JL, QPH), pp. 1319–1324.
DATE-2015-Rabaey #intranet- The human intranet: where swarms and humans meet (JMR), pp. 637–640.
SAC-2015-StegagnoMB #distributed #identification- Distributed target identification in robotic swarms (PS, CM, HHB), pp. 307–313.
CASE-2014-MaTLZLD #algorithm #hybrid #optimisation #scheduling- A hybrid particle swarm optimization and simulated annealing algorithm for job-shop scheduling (PCM, FT, YL, LZ, HXL, ZD), pp. 125–130.
SAC-2014-YokoyamaKM #using- Secure positioning in a UAV swarm using on-board stereo cameras (RSY, BYLK, EdSM), pp. 769–774.
ICEIS-v1-2013-RibeiroRBFE #coordination #policy- Updating Strategies of Policies for Coordinating Agent Swarm in Dynamic Environments (RR, AFR, MACB, FF, FE), pp. 345–356.
SEKE-2013-AssuncaoV #diagrams #optimisation #retrieval- Class Diagram Retrieval with Particle Swarm Optimization (WKGA, SRV), pp. 632–637.
DRR-2012-ChengWAST #algorithm #classification #image #optimisation #visual notation- Graphical image classification combining an evolutionary algorithm and binary particle swarm optimization (BC, RW, SA, RJS, GRT).
ICPR-2012-NguyenB #algorithm #optimisation- Zombie Survival Optimization: A swarm intelligence algorithm inspired by zombie foraging (HTN, BB), pp. 987–990.
ICPR-2012-RenZMZ #classification #image #multi #optimisation- Hyperspectral image classification based on Multiple Improved particle swarm cooperative optimization and SVM (YR, YZ, QM, LZ), pp. 2274–2277.
MLDM-2012-Ba-KaraitSS #classification #hybrid #optimisation #using- EEG Signals Classification Using a Hybrid Method Based on Negative Selection and Particle Swarm Optimization (NOSBK, SMS, RS), pp. 427–438.
RecSys-2012-Diaz-AvilesGN #rank #recommendation- Swarming to rank for recommender systems (EDA, MG, WN), pp. 229–232.
ISSTA-2012-GroceZECR #testing- Swarm testing (AG, CZ, EE, YC, JR), pp. 78–88.
CASE-2011-VasilePB #distributed #interactive- Integrating human swarm interaction in a distributed robotic control system (CIV, AP, CB), pp. 743–748.
CSEET-2011-UelschenE #re-engineering #self- An introductory course on software engineering on self-organization in swarm robotics (MU, HJE), pp. 333–342.
VLDB-2010-LiDHK #clustering #mining #named- Swarm: Mining Relaxed Temporal Moving Object Clusters (ZL, BD, JH, RK), pp. 723–734.
ICEIS-AIDSS-2010-CarvalhoSP #data mining #mining- Swarm Intelligence for Rule Discovery in Data Mining (ABdC, TS, AP), pp. 314–319.
ICPR-2010-AriA #estimation #modelling #optimisation #using- Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization (CA, SA), pp. 746–749.
ICPR-2010-KhanN #image #optimisation- A Modified Particle Swarm Optimization Applied in Image Registration (MKK, IN), pp. 2302–2305.
SEKE-2010-SouzaPB #approach #optimisation #testing- A Constrained Particle Swarm Optimization Approach for Test Case Selection (LSdS, RBCP, FdAB), pp. 259–264.
RE-2010-SultanovH #requirements- Application of Swarm Techniques to Requirements Engineering: Requirements Tracing (HS, JHH), pp. 211–220.
SAC-2010-HarasicAOT #distributed #named #rdf- RDFSwarms: selforganized distributed RDF triple store (MH, AA, PO, RT), pp. 1339–1340.
CASE-2009-GirishJ #algorithm #flexibility #optimisation #problem #scheduling- A particle swarm optimization algorithm for flexible job shop scheduling problem (BSG, NJ), pp. 298–303.
ICDAR-2009-SadriC #approach #documentation #optimisation- A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization (JS, MC), pp. 1066–1070.
HCI-NIMT-2009-OztemelKUCKRS #assessment #performance- Performance Assessment of Swarm Robots (EÖ, CK, ÖU, TC, TK, VR, AS), pp. 361–367.
ICEIS-AIDSS-2009-KuoWHH #clustering #network #optimisation #order #using- An Order Clustering System using ART2 Neural Network and Particle Swarm Optimization Methodn (RJK, MJW, TWH, TLH), pp. 54–59.
ICEIS-AIDSS-2009-OReilly #algorithm #multi #optimisation #using- Frequency Assignment Optimization using the Swarm Intelligence Multi-agent based Algorithm (SIMBA) (GBO), pp. 25–32.
SAC-2009-GaoZL #algorithm #constraints #fuzzy #optimisation- A particle swarm optimization based algorithm for fuzzy bilevel decision making with constraints-shared followers (YG, GZ, JL), pp. 1075–1079.
ASE-2008-HolzmannJG #verification- Swarm Verification (GJH, RJ, AG), pp. 1–6.
CASE-2008-KangXWW #assembly #scheduling- A swarm-dynamic scheduling method for semiconductor assembly production line (QK, HX, LW, QW), pp. 91–96.
DAC-2008-NarasimhanPB- Collective computing based on swarm intelligence (SN, SP, SB), pp. 349–350.
DATE-2008-FarahaniFS #architecture #network #scalability #using- Scalable Architecture for on-Chip Neural Network Training using Swarm Intelligence (AFF, SMF, SS), pp. 1340–1345.
ITiCSE-2008-Albin-ClarkK #game studies #simulation- The use of role play to simulate a tethered swarm of robots for urban search and rescue (USAR) (AAC, TRVAK), p. 335.
ICPR-2008-HidakaK #feature model #optimisation #using- Non-Neighboring Rectangular Feature selection using Particle Swarm Optimization (AH, TK), pp. 1–4.
ICPR-2008-KiranyazTYG #design #multi #network #optimisation- Unsupervised design of Artificial Neural Networks via multi-dimensional Particle Swarm Optimization (SK, TI, EAY, MG), pp. 1–4.
ICPR-2008-YangZS #algorithm #comparison #optimisation #search-based- Comparison of Particle Swarm Optimization and Genetic Algorithm for HMM training (FY, CZ, TS), pp. 1–4.
SAC-2008-CoelhoO #optimisation- Dynamically tuning the population size in particle swarm optimization (ALVC, DGdO), pp. 1782–1787.
SAC-2008-VassevHP #specification #towards- Towards an ASSL specification model for NASA swarm-based exploration missions (EV, MH, JP), pp. 1652–1657.
SAC-2008-VellosoR #algorithm #analysis- Percolation analyses in a swarm based algorithm for shortest-path finding (BPV, MR), pp. 1861–1865.
DHM-2007-FanC #adaptation #using- A Modified Particle Swarm Optimizer Using an Adaptive Dynamic Weight Scheme (SKSF, JMC), pp. 56–65.
SAC-2007-FurtadoMCM #modelling #network #simulation #social- A crime simulation model based on social networks and swarm intelligence (VF, AM, ALVC, RM), pp. 56–57.
CASE-2006-ChandrasekaranSPV #algorithm #optimisation #permutation #problem #scheduling- An Application of Particle Swarm Optimization Algorithm to Permutation Flowshop Scheduling Problems to Minimize Makespan, Total Flowtime and Completion Time Variance (SC, RKS, SGP, NV), pp. 513–518.
CASE-2006-KwokHLF #image #multi #optimisation #using- Intensity-Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization (NMK, QPH, DL, GF), pp. 21–26.
ICEIS-DISI-2006-LoureiroB #algorithm- A Discrete Particle Swarm Algorithm for OLAP Data Cube Selection (JL, OB), pp. 46–62.
SAC-2006-OsorioK #analysis #behaviour- An initial analysis and presentation of malware exhibiting swarm-like behavior (FCCO, ZK), pp. 323–329.
ICDAR-2005-OliveiraBS05a #classification #optimisation- Improving Cascading Classifiers with Particle Swarm Optimization (LSO, AdSBJ, RS), pp. 570–574.
SEFM-2004-RouffVHTR #behaviour #formal method #predict- Properties of a Formal Method for Prediction of Emergent Behaviors in Swarm-Based Systems (CR, AV, MGH, WT, JLR), pp. 24–33.
SAC-2004-VincentR #analysis #framework #using- A framework and analysis for cooperative search using UAV swarms (PV, IR), pp. 79–86.
SAC-2003-MenezesT #approach #scalability- A New Approach to Scalable Linda-systems Based on Swarms (RM, RT), pp. 375–379.
CHI-2002-HeerC #categorisation #web- Separating the swarm: categorization methods for user sessions on the web (JH, EHhC), pp. 243–250.
SAC-2002-KadrovachL- A particle swarm model for swarm-based networked sensor systems (BAK, GBL), pp. 918–924.
SAC-2002-ParsopoulosV #multi #optimisation #problem- Particle swarm optimization method in multiobjective problems (KEP, MNV), pp. 603–607.