04483nam 22005775 450 991016308820332120200702133327.0981-10-3728-010.1007/978-981-10-3728-3(CKB)3710000001041175(DE-He213)978-981-10-3728-3(MiAaPQ)EBC4793460(PPN)198338872(EXLCZ)99371000000104117520170128d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierHarmony Search Algorithm Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /edited by Javier Del Ser1st ed. 2017.Singapore :Springer Singapore :Imprint: Springer,2017.1 online resource (XIV, 366 p. 104 illus.) Advances in Intelligent Systems and Computing,2194-5357 ;514981-10-3727-2 Includes bibliographical references at the end of each chapters and index.Sensitivity Analysis on Migration Parameters of Parallel Harmony Search -- Multi-layered Harmony Search Algorithm: Introduction of a Novel and Efficient 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.This 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.Advances in Intelligent Systems and Computing,2194-5357 ;514Computational intelligenceArtificial intelligenceAlgorithmsComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Algorithm Analysis and Problem Complexityhttps://scigraph.springernature.com/ontologies/product-market-codes/I16021Computational intelligence.Artificial intelligence.Algorithms.Computational Intelligence.Artificial Intelligence.Algorithm Analysis and Problem Complexity.006.31Del Ser Javieredthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910163088203321Harmony Search Algorithm1545072UNINA