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Harmony search algorithm = proceedin...

Kim, Joong Hoon.

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Harmony search algorithm = proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Harmony search algorithm/ edited by Joong Hoon Kim, Zong Woo Geem.
其他題名:	proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) /
其他題名:	ICHSA2015
其他作者:	Kim, Joong Hoon.
出版者:	Berlin, Heidelberg :Springer Berlin Heidelberg : : 2016.,
面頁冊數:	xi, 470 p. :ill., digital ;24 cm.
內容註:	Part I Various Aspects of Optimization Algorithms -- Part II Large scale applications of HSA -- Part III Recent Variants of HSA -- Part IV Other Nature-inspired Algorithms -- Part V Related Areas and Computational Intelligence -- Part VI Optimization in Civil Engineering -- Part VII Multi-objectives variants of HSA.
Contained By:	Springer eBooks
標題:	Computer algorithms - Congresses. -
電子資源:	http://dx.doi.org/10.1007/978-3-662-47926-1
ISBN:	9783662479261$q(electronic bk.)

Harmony search algorithm = proceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) /
Harmony search algorithmproceedings of the 2nd International Conference on Harmony Search Algorithm (ICHSA2015) /[electronic resource] :ICHSA2015edited by Joong Hoon Kim, Zong Woo Geem. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xi, 470 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.3822194-5357 ;. - Advances in intelligent systems and computing ;173..

Part I Various Aspects of Optimization Algorithms -- Part II Large scale applications of HSA -- Part III Recent Variants of HSA -- Part IV Other Nature-inspired Algorithms -- Part V Related Areas and Computational Intelligence -- Part VI Optimization in Civil Engineering -- Part VII Multi-objectives variants of HSA.

The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community. This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications. The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques. This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.

ISBN: 9783662479261$q(electronic bk.)

Standard No.: 10.1007/978-3-662-47926-1doiSubjects--Topical Terms:

1243504
Computer algorithms
--Congresses.

LC Class. No.: QA76.9.A43

Dewey Class. No.: 005.1

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520 $a The Harmony Search Algorithm (HSA) is one of the most well-known techniques in the field of soft computing, an important paradigm in the science and engineering community. This volume, the proceedings of the 2nd International Conference on Harmony Search Algorithm 2015 (ICHSA 2015), brings together contributions describing the latest developments in the field of soft computing with a special focus on HSA techniques. It includes coverage of new methods that have potentially immense application in various fields. Contributed articles cover aspects of the following topics related to the Harmony Search Algorithm: analytical studies; improved, hybrid and multi-objective variants; parameter tuning; and large-scale applications. The book also contains papers discussing recent advances on the following topics: genetic algorithms; evolutionary strategies; the firefly algorithm and cuckoo search; particle swarm optimization and ant colony optimization; simulated annealing; and local search techniques. This book offers a valuable snapshot of the current status of the Harmony Search Algorithm and related techniques, and will be a useful reference for practising researchers and advanced students in computer science and engineering.
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