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000779392 0247_ $$a10.1007/978-981-10-3728-3$$2doi
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000779392 1112_ $$aInternational Conference on Harmony Search Algorithm$$n(3rd :$$d2017 :$$cBilbao, Spain)
000779392 24510 $$aHarmony search algorithm :$$bproceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /$$cJavier Del Ser, editor.
000779392 2463_ $$aICHSA 2017
000779392 264_1 $$aSingapore :$$bSpringer,$$c2017.
000779392 300__ $$a1 online resource (xiv, 366 pages) :$$billustrations.
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000779392 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vvolume 514
000779392 500__ $$aIncludes author index.
000779392 5050_ $$aSensitivity 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.
000779392 506__ $$aAccess limited to authorized users.
000779392 520__ $$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.
000779392 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 6, 2017).
000779392 650_0 $$aComputer algorithms$$vCongresses.
000779392 7001_ $$aDel Ser, Javier,$$eeditor.
000779392 77608 $$iPrint version:$$aDel Ser, Javier$$tHarmony Search Algorithm : Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)$$dSingapore : Springer Singapore,c2017$$z9789811037276
000779392 830_0 $$aAdvances in intelligent systems and computing ;$$v514.
000779392 852__ $$bebk
000779392 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-3728-3$$zOnline Access$$91397441.1
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