LEADER 04483nam 22005775 450 001 9910163088203321 005 20200702133327.0 010 $a981-10-3728-0 024 7 $a10.1007/978-981-10-3728-3 035 $a(CKB)3710000001041175 035 $a(DE-He213)978-981-10-3728-3 035 $a(MiAaPQ)EBC4793460 035 $a(PPN)198338872 035 $a(EXLCZ)993710000001041175 100 $a20170128d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aHarmony Search Algorithm $eProceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /$fedited by Javier Del Ser 205 $a1st ed. 2017. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2017. 215 $a1 online resource (XIV, 366 p. 104 illus.) 225 1 $aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v514 311 $a981-10-3727-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aSensitivity Analysis on Migration Parameters of Parallel Harmony Search -- Multi-layered Harmony Search Algorithm: Introduction of a Novel and E?cient Structure -- Application of Self-adaptive Method in Multi-objective Harmony Search Algorithm -- A Comparative Study of Exploration Ability of Harmony Search Algorithms -- The Extraordinary Particle Swarm Optimization and its Application in Constrained Engineering Problems -- Metaheuristic based Optimization for Tuned Mass Dampers using Frequency Domain Responses. 330 $aThis book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation & mobility and health, among many others and focus not only on its cross-domain applicability, but also on its core evolutionary operators, including elements inspired from other meta-heuristics. The global scientific community is witnessing an upsurge in groundbreaking, new advances in all areas of computational intelligence, with a particular flurry of research focusing on evolutionary computation and bio-inspired optimization. Observed processes in nature and sociology have provided the basis for innovative algorithmic developments aimed at leveraging the inherent capability to adapt characterized by various animals, including ants, fireflies, wolves and humans. However, it is the behavioral patterns observed in music composition that motivated the advent of the Harmony Search algorithm, a meta-heuristic optimization algorithm that over the last decade has been shown to dominate other solvers in a plethora of application scenarios. The book consists of a selection of the best contributions presented at ICHSA, a major biannual event where leading global experts on meta-heuristic optimization present their latest findings and discuss the past, present, and future of the exciting field of Harmony Search optimization. It provides a valuable reference resource for researchers working in the field of optimization meta-heuristics, and a solid technical base for frontline investigations around this algorithm. 410 0$aAdvances in Intelligent Systems and Computing,$x2194-5357 ;$v514 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aAlgorithms 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aAlgorithms. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aAlgorithm Analysis and Problem Complexity. 676 $a006.31 702 $aDel Ser$b Javier$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910163088203321 996 $aHarmony Search Algorithm$91545072 997 $aUNINA