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020 _a9811037280
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020 _z9789811037276
_q(print)
020 _z9811037272
035 _a(OCoLC)971494646
_z(OCoLC)971535674
_z(OCoLC)971600202
_z(OCoLC)971956102
_z(OCoLC)972103177
_z(OCoLC)972157247
_z(OCoLC)972204797
_z(OCoLC)972291990
_z(OCoLC)974650957
_z(OCoLC)981115079
_z(OCoLC)981851209
_z(OCoLC)1005818761
_z(OCoLC)1012092513
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050 4 _aQA76.9.A43
_bH376 2017 EB
111 2 _aInternational Conference on Harmony Search Algorithm
_n(3rd :
_d2017 :
_cBilbao, Spain)
245 1 0 _aHarmony search algorithm :
_bproceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017)
_cJavier Del Ser, editor.
246 3 _aICHSA 2017
264 1 _aSingapore
_bSpringer
_c2017
300 _a1 recurso en línea (xiv, 366 páginas)
_bilustraciones
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aAdvances in intelligent systems and computing
_x2194-5357
_vvolume 514
500 _aIncluye índice
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
505 0 _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.
520 3 _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 7 _aAlgoritmos computacionales
_2embne
_0(OCoLC)fst00872010
_0
_9151819
700 1 _aDel Ser, Javier,
_eeditor literario
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-3728-3
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017B
998 _b02/2018
_dz
_e-
_zSI
999 _c95330
_d95330
_x1