04150nam 22006975 450 99646568960331620230330022315.03-319-93815-010.1007/978-3-319-93815-8(CKB)3810000000358685(DE-He213)978-3-319-93815-8(MiAaPQ)EBC6295168(PPN)229494579(EXLCZ)99381000000035868520180615d2018 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierAdvances in Swarm Intelligence[electronic resource] 9th International Conference, ICSI 2018, Shanghai, China, June 17-22, 2018, Proceedings, Part I /edited by Ying Tan, Yuhui Shi, Qirong Tang1st ed. 2018.Cham :Springer International Publishing :Imprint: Springer,2018.1 online resource (XXIV, 639 p. 183 illus.) Theoretical Computer Science and General Issues,2512-2029 ;109413-319-93814-2 Theories and models of swarm intelligence -- ant colony optimization; particle swarm optimization -- artificial bee colony algorithms -- genetic algorithms -- differential evolution -- fireworks algorithms -- bacterial foraging optimization -- artificial immune system -- hydrologic cycle optimization -- other swarm-based optimization algorithms -- hybrid optimization algorithms -- multi-objective optimization -- large-scale global optimization -- multi-agent systems -- swarm robotics; fuzzy logic approaches -- planning and routing problems -- recommendation in social media -- prediction -- classification -- finding patterns -- image enhancement -- deep learning.The two-volume set of LNCS 10941 and 10942 constitutes the proceedings of the 9th International Conference on Advances in Swarm Intelligence, ICSI 2018, held in Shanghai, China, in June 2018. The total of 113 papers presented in these volumes was carefully reviewed and selected from 197 submissions. The papers were organized in topical sections as follows: theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic algorithms; differential evolution; fireworks algorithms; bacterial foraging optimization; artificial immune system; hydrologic cycle optimization; other swarm-based optimization algorithms; hybrid optimization algorithms; multi-objective optimization; large-scale global optimization; multi-agent systems; swarm robotics; fuzzy logic approaches; planning and routing problems; recommendation in social media; prediction, classification; finding patterns; image enhancement; deep learning. .Theoretical Computer Science and General Issues,2512-2029 ;10941AlgorithmsArtificial intelligenceComputer networksComputers, Special purposeSoftware engineeringComputer scienceAlgorithmsArtificial IntelligenceComputer Communication NetworksSpecial Purpose and Application-Based SystemsSoftware EngineeringModels of ComputationAlgorithms.Artificial intelligence.Computer networks.Computers, Special purpose.Software engineering.Computer science.Algorithms.Artificial Intelligence.Computer Communication Networks.Special Purpose and Application-Based Systems.Software Engineering.Models of Computation.005.1Tan Yingedthttp://id.loc.gov/vocabulary/relators/edtShi Yuhuiedthttp://id.loc.gov/vocabulary/relators/edtTang Qirongedthttp://id.loc.gov/vocabulary/relators/edtBOOK996465689603316Advances in Swarm Intelligence2005634UNISA