04024nam 22006375 450 991025418190332120200703135417.03-662-47926-510.1007/978-3-662-47926-1(CKB)3710000000463315(EBL)3568245(SSID)ssj0001546775(PQKBManifestationID)16141459(PQKBTitleCode)TC0001546775(PQKBWorkID)14796169(PQKB)10688075(DE-He213)978-3-662-47926-1(MiAaPQ)EBC3568245(PPN)188459138(EXLCZ)99371000000046331520150808d2016 u| 0engur|n|---|||||txtccrHarmony Search Algorithm Proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) /edited by Joong Hoon Kim, Zong Woo Geem1st ed. 2016.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2016.1 online resource (455 p.)Advances in Intelligent Systems and Computing,2194-5357 ;382Description based upon print version of record.3-662-47925-7 Includes bibliographical references and index.Part I Various Aspects of Optimization Algorithms -- Part II Large scale applications of HSA -- Part III Recent Variants of HSA -- Part IV Other Nature-inspired Algorithms -- Part V Related Areas and Computational Intelligence -- Part VI Optimization in Civil Engineering -- Part VII Multi-objectives variants of HSA.The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community.  This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications.  The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques.   This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.Advances in Intelligent Systems and Computing,2194-5357 ;382Artificial intelligenceComputational intelligenceAlgorithmsArtificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Artificial intelligence.Computational intelligence.Algorithms.Artificial Intelligence.Computational Intelligence.Algorithm Analysis and Problem Complexity.004Kim Joong Hoonedthttp://id.loc.gov/vocabulary/relators/edtGeem Zong Wooedthttp://id.loc.gov/vocabulary/relators/edtBOOK9910254181903321Harmony Search Algorithm1545072UNINA