04455nam 22008175 450 99646548860331620230330014439.03-319-50307-310.1007/978-3-319-50307-3(CKB)3710000000981134(DE-He213)978-3-319-50307-3(MiAaPQ)EBC6281878(MiAaPQ)EBC5592685(Au-PeEL)EBL5592685(OCoLC)1066184358(PPN)197137415(EXLCZ)99371000000098113420161124d2016 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierSwarm Intelligence Based Optimization[electronic resource] Second International Conference, ICSIBO 2016, Mulhouse, France, June 13-14, 2016, Revised Selected Papers /edited by Patrick Siarry, Lhassane Idoumghar, Julien Lepagnot1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (IX, 125 p. 56 illus.) Theoretical Computer Science and General Issues,2512-2029 ;101033-319-50306-5 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.This 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.Theoretical Computer Science and General Issues,2512-2029 ;10103AlgorithmsArtificial intelligenceComputer systemsComputers, Special purposeMicroprocessorsComputer architectureComputer science—MathematicsDiscrete mathematicsAlgorithmsArtificial IntelligenceComputer System ImplementationSpecial Purpose and Application-Based SystemsProcessor ArchitecturesDiscrete Mathematics in Computer ScienceAlgorithms.Artificial intelligence.Computer systems.Computers, Special purpose.Microprocessors.Computer architecture.Computer science—Mathematics.Discrete mathematics.Algorithms.Artificial Intelligence.Computer System Implementation.Special Purpose and Application-Based Systems.Processor Architectures.Discrete Mathematics in Computer Science.006.3Siarry Patrickedthttp://id.loc.gov/vocabulary/relators/edtIdoumghar Lhassaneedthttp://id.loc.gov/vocabulary/relators/edtLepagnot Julienedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK996465488603316Swarm Intelligence Based Optimization2830092UNISA