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An Introduction to Harmony Search Optimization Method

紀錄類型:	書目-語言資料,印刷品 : 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.
面頁冊數:	VI, 88 p. 46 illus., 5 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-08356-8
ISBN:	9783319083568

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. - 1st ed. 2015. - VI, 88 p. 46 illus., 5 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in 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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

An Introduction to Harmony Search Optimization Method
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