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An introduction to harmony search op...

Wang, Xiaolei.

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An introduction to harmony search optimization method

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	An introduction to harmony search optimization method/ by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger.
作者:	Wang, Xiaolei.
其他作者:	Gao, Xiao-Zhi.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	vi, 88 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.
Contained By:	Springer eBooks
標題:	Computational intelligence. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-08356-8
ISBN:	9783319083568 (electronic bk.)

An introduction to harmony search optimization method
Wang, Xiaolei.

An introduction to harmony search optimization method[electronic resource] /by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger. - Cham :Springer International Publishing :2015. - vi, 88 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in applied sciences and technology, Computational intelligence,2191-530X. - SpringerBriefs in applied sciences and technology.Computational intelligence..

Introduction -- The Overview of Harmony Search -- Harmony Search in Context with Other Nature-inspired Computational Algorithms -- The Variations of Harmony Search and Its Current Research Trends -- The Hybrid Strategies of Harmony Search in Optimization Problem Solving -- Conclusions.

This brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.

ISBN: 9783319083568 (electronic bk.)

Standard No.: 10.1007/978-3-319-08356-8doiSubjects--Topical Terms:

595739
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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