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An Introduction to Harmony Search Optimization Method [electronic resource] / by Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger.

By: Wang, Xiaolei [author.].
Contributor(s): Gao, Xiao-Zhi [author.] | Zenger, Kai [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: VI, 88 p. 46 illus., 5 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319083568.Subject(s): Engineering | Artificial intelligence | Mathematical optimization | Computational intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics) | OptimizationAdditional physical formats: Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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.
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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.

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