LEADER 04455nam 22008175 450 001 996465488603316 005 20230330014439.0 010 $a3-319-50307-3 024 7 $a10.1007/978-3-319-50307-3 035 $a(CKB)3710000000981134 035 $a(DE-He213)978-3-319-50307-3 035 $a(MiAaPQ)EBC6281878 035 $a(MiAaPQ)EBC5592685 035 $a(Au-PeEL)EBL5592685 035 $a(OCoLC)1066184358 035 $a(PPN)197137415 035 $a(EXLCZ)993710000000981134 100 $a20161124d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSwarm Intelligence Based Optimization$b[electronic resource] $eSecond International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers /$fedited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (IX, 125 p. 56 illus.) 225 1 $aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10103 311 $a3-319-50306-5 327 $aTheoretical 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 forging, 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. 330 $aThis book constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Swarm Intelligence Based Optimization, ICSIBO 2016, held in Mulhouse, France, in June 2016. The 9 full papers presented were carefully reviewed and selected from 20 submissions. They are centered around the following topics: theoretical advances of swarm intelligence metaheuristics; combinatorial discrete, binary, constrained, multi-objective, multi-modal, dynamic, noisy, and large scale optimization; artificial immune systems, particle swarms, ant colony, bacterial forging, artificial bees, fireflies algorithm; hybridization of algorithms; parallel/distributed computing, machine learning, data mining, data clustering, decision making and multi-agent systems based on swarm intelligence principles; adaptation and applications of swarm intelligence principles to real world problems in various domains. 410 0$aTheoretical Computer Science and General Issues,$x2512-2029 ;$v10103 606 $aAlgorithms 606 $aArtificial intelligence 606 $aComputer systems 606 $aComputers, Special purpose 606 $aMicroprocessors 606 $aComputer architecture 606 $aComputer science?Mathematics 606 $aDiscrete mathematics 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aComputer System Implementation 606 $aSpecial Purpose and Application-Based Systems 606 $aProcessor Architectures 606 $aDiscrete Mathematics in Computer Science 615 0$aAlgorithms. 615 0$aArtificial intelligence. 615 0$aComputer systems. 615 0$aComputers, Special purpose. 615 0$aMicroprocessors. 615 0$aComputer architecture. 615 0$aComputer science?Mathematics. 615 0$aDiscrete mathematics. 615 14$aAlgorithms. 615 24$aArtificial Intelligence. 615 24$aComputer System Implementation. 615 24$aSpecial Purpose and Application-Based Systems. 615 24$aProcessor Architectures. 615 24$aDiscrete Mathematics in Computer Science. 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 $a996465488603316 996 $aSwarm Intelligence Based Optimization$92830092 997 $aUNISA