國立高雄大學圖資館 |

Language: English

Back

Harmony search algorithmproceedings ...

(1998 :)

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Harmony search algorithmedited 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:
Published:	Singapore :Springer Singapore :2017.
Description:	xiv, 366 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer algorithmsCongresses.
Online resource:	http://dx.doi.org/10.1007/978-981-10-3728-3
ISBN:	9789811037283$q(electronic bk.)

Harmony search algorithmproceedings 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 ;176..

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$q(electronic bk.)

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

380777
Computer algorithms
--Congresses.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

Harmony search algorithmproceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) /
LDR:03375nmm a2200337 a 4500 001 506861
003 DE-He213
005 20170811100533.0
006 m d
007 cr nn 008maaau
008 171030s2017 si s 0 eng d
020 $a 9789811037283$q(electronic bk.)
020 $a 9789811037276$q(paper)
024 7 $a 10.1007/978-981-10-3728-3 $2 doi
035 $a 978-981-10-3728-3
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.A43
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 005.1 $2 23
090 $a QA76.9.A43 $b I61 2017
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Harmony search algorithm $h [electronic resource] : $b proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) / $c edited by Javier Del Ser.
246 3 $a ICHSA 2017
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a xiv, 366 p. : $b ill., digital ; $c 24 cm.
490 1 $a Advances in intelligent systems and computing, $x 2194-5357 ; $v v.514
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.
650 0 $a Computer algorithms $v Congresses. $3 380777
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Computing Methodologies. $3 274528
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
700 1 $a Del Ser, Javier. $3 773133
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Advances in intelligent systems and computing ; $v 176. $3 567349
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-3728-3
950 $a Engineering (Springer-11647)