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020 _a9789811037283
_9978-981-10-3728-3
024 7 _a10.1007/978-981-10-3728-3
_2doi
050 4 _aQ342
072 7 _aUYQ
_2bicssc
072 7 _aTEC009000
_2bisacsh
072 7 _aUYQ
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082 0 4 _a006.3
_223
245 1 0 _aHarmony Search Algorithm
_h[electronic resource] :
_bProceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /
_cedited by Javier Del Ser.
250 _a1st ed. 2017.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2017.
300 _aXIV, 366 p. 104 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v514
505 0 _aSensitivity Analysis on Migration Parameters of Parallel Harmony Search -- Multi-layered Harmony Search Algorithm: Introduction of a Novel and Eļ¬ƒcient 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.
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.
650 0 _aComputational intelligence.
_97716
650 0 _aArtificial intelligence.
_93407
650 0 _aAlgorithms.
_93390
650 1 4 _aComputational Intelligence.
_97716
650 2 4 _aArtificial Intelligence.
_93407
650 2 4 _aAlgorithms.
_93390
700 1 _aDel Ser, Javier.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_933150
710 2 _aSpringerLink (Online service)
_933151
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811037276
776 0 8 _iPrinted edition:
_z9789811037290
830 0 _aAdvances in Intelligent Systems and Computing,
_x2194-5365 ;
_v514
_933152
856 4 0 _uhttps://doi.org/10.1007/978-981-10-3728-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75381
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