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International Conference on Harmony Search Algorithm (2017 :)

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Harmony search algorithm = proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Harmony search algorithm/ edited by Javier Del Ser.
Reminder of title:	proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /
remainder title:	ICHSA 2017
other author:	Del Ser, Javier.
corporate name:	International Conference on Harmony Search Algorithm
Published:	Singapore :Springer Singapore : : 2017.,
Description:	xiv, 366 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Computer algorithms - Congresses. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-3728-3
ISBN:	9789811037283

Harmony search algorithm = proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /
Harmony search algorithmproceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /[electronic resource] :ICHSA 2017edited by Javier Del Ser. - Singapore :Springer Singapore :2017. - xiv, 366 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.5142194-5357 ;. - Advances in intelligent systems and computing ;v.514..

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.

ISBN: 9789811037283

Standard No.: 10.1007/978-981-10-3728-3doiSubjects--Topical Terms:

576357
Computer algorithms
--Congresses.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Harmony search algorithm = proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /
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505 0 $a 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.
520 $a 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.
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