04160nam 22007575 450 991048352730332120230329185701.03-319-41000-810.1007/978-3-319-41000-5(CKB)3710000000735259(DE-He213)978-3-319-41000-5(MiAaPQ)EBC5587627(Au-PeEL)EBL5587627(OCoLC)952024108(PPN)194378586(EXLCZ)99371000000073525920160614d2016 u| 0engurnn#008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Swarm Intelligence[electronic resource] 7th International Conference, ICSI 2016, Bali, Indonesia, June 25-30, 2016, Proceedings, Part I /edited by Ying Tan, Yuhui Shi, Ben Niu1st ed. 2016.Cham :Springer International Publishing :Imprint: Springer,2016.1 online resource (XXVII, 657 p. 193 illus.)Theoretical Computer Science and General Issues,2512-2029 ;97123-319-40999-9 Trend and models of swarm intelligence research -- Novel swarm-based optimization algorithms.-Swarming behaviour -- Some swarm intelligence algorithms and their applications -- Hybrid search optimization -- Particle swarm optimization -- PSO applications -- Ant colony optimization -- Brain storm optimization -- Fireworks algorithms -- Multi-objective optimization -- Large-scale global optimization -- Biometrics. This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed proceedings of the 7th International Conference on Swarm Intelligence, ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised regular papers presented were carefully reviewed and selected from 231 submissions. The papers are organized in 22 cohesive sections covering major topics of swarm intelligence and related areas such as trend and models of swarm intelligence research; novel swarm-based optimization algorithms; swarming behaviour; some swarm intelligence algorithms and their applications; hybrid search optimization; particle swarm optimization; PSO applications; ant colony optimization; brain storm optimization; fireworks algorithms; multi-objective optimization; large-scale global optimization; biometrics; scheduling and planning; machine learning methods; clustering algorithm; classification; image classification and encryption; data mining; sensor networks and social networks; neural networks; swarm intelligence in management decision making and operations research; robot control; swarm robotics; intelligent energy and communications systems; and intelligent and interactive and tutoring systems. .Theoretical Computer Science and General Issues,2512-2029 ;9712AlgorithmsArtificial intelligenceNumerical analysisComputer scienceData miningComputer simulationAlgorithmsArtificial IntelligenceNumerical AnalysisModels of ComputationData Mining and Knowledge DiscoveryComputer ModellingAlgorithms.Artificial intelligence.Numerical analysis.Computer science.Data mining.Computer simulation.Algorithms.Artificial Intelligence.Numerical Analysis.Models of Computation.Data Mining and Knowledge Discovery.Computer Modelling.005.1Tan Yingedthttp://id.loc.gov/vocabulary/relators/edtShi Yuhuiedthttp://id.loc.gov/vocabulary/relators/edtNiu Benedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910483527303321Advances in Swarm Intelligence2005634UNINA