LEADER 05670nam 22008415 450 001 996210536003316 005 20230330025938.0 010 $a3-319-12970-8 024 7 $a10.1007/978-3-319-12970-9 035 $a(CKB)3710000000306167 035 $a(SSID)ssj0001386804 035 $a(PQKBManifestationID)11826507 035 $a(PQKBTitleCode)TC0001386804 035 $a(PQKBWorkID)11374440 035 $a(PQKB)11616286 035 $a(DE-He213)978-3-319-12970-9 035 $a(MiAaPQ)EBC6295225 035 $a(MiAaPQ)EBC5594756 035 $a(Au-PeEL)EBL5594756 035 $a(OCoLC)897803408 035 $a(PPN)183094522 035 $a(EXLCZ)993710000000306167 100 $a20141127d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSwarm Intelligence Based Optimization$b[electronic resource] $eFirst International Conference, ICSIBO 2014, Mulhouse, France, May 13-14, 2014. Revised Selected Papers /$fedited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot 205 $a1st ed. 2014. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2014. 215 $a1 online resource (X, 193 p. 55 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8472 300 $aIncludes index. 311 $a3-319-12969-4 327 $aCombining PSO and FCM for Dynamic Fuzzy Clustering Problems -- Metaheuristics for solving a hybrid flexible flowshop problem with sequence-dependent setup times -- Using Particle Swarm Optimization Method to Invert Active Surface Waves -- A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer -- Fuzzy Logic Control Optimized by Artificial Immune System for Building Thermal Condition -- Smooth trajectory planning for robot using particle swarm optimization -- Multi-level parallelization for hybrid ACO -- Parallel and Distributed Implementation Models for Bio-inspired Optimization Algorithms -- Using bio-inspired algorithm to compensate web page color contrast for dichromat users -- Comparison of two swarm intelligence optimization algorithms on the textual color problem for web accessibility -- How Much Forcing is Necessary to Let the Results of Particle Swarms Converge? -- The use of ontology in semantic analysis of the published learners messages for adaptability -- A Hybrid PSO Applied to the Flexible Job Shop with Transport -- Multiple Mobile Target Tracking in Wireless Sensor Networks -- Swarm projects: beyond the metaphor -- An enhanced Particle Swarm Optimisation algorithm combined with Neural Networks to decrease computational time -- Robust Multi-Agent Patrolling Strategies using Reinforcement Learning -- BSG-Starcraft Radius improvements of Particle Swarm Optimization -- Algorithm: an application to Ceramic Matrix Composites -- An Efficient ACO-SA Hybrid Metaheuristic for the Synchronization of Single Frequency Networks in Broadcasting -- Floods Trajectories Modeling and Dynamic Relief Planning: A Bees Foraging Approach. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the 1st International Conference on Swarm Intelligence Based Optimization, ICSIBO 2014, held in Mulhouse, France, in May 2014. The 20 full papers presented were carefully reviewed and selected from 48 submissions. Topics of interest presented and discussed in the conference focuses on the theoretical progress of swarm intelligence metaheuristics and their applications in areas such as: theoretical advances of swarm intelligence metaheuristics, combinatorial, discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large-scale optimization, artificial immune systems, particle swarms, ant colony, bacterial foraging, artificial bees, fireflies algorithm,  hybridization of algorithms, parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles, adaptation and applications of swarm intelligence principles to real world problems in various domains. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v8472 606 $aAlgorithms 606 $aComputer science 606 $aApplication software 606 $aArtificial intelligence 606 $aInformation storage and retrieval systems 606 $aDatabase management 606 $aAlgorithms 606 $aTheory of Computation 606 $aComputer and Information Systems Applications 606 $aArtificial Intelligence 606 $aInformation Storage and Retrieval 606 $aDatabase Management 615 0$aAlgorithms. 615 0$aComputer science. 615 0$aApplication software. 615 0$aArtificial intelligence. 615 0$aInformation storage and retrieval systems. 615 0$aDatabase management. 615 14$aAlgorithms. 615 24$aTheory of Computation. 615 24$aComputer and Information Systems Applications. 615 24$aArtificial Intelligence. 615 24$aInformation Storage and Retrieval. 615 24$aDatabase Management. 676 $a006.3 702 $aSiarry$b Patrick$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aIdoumghar$b Lhassane$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLepagnot$b Julien$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996210536003316 996 $aSwarm Intelligence Based Optimization$92830092 997 $aUNISA