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

By: Wang, Xiaolei, autor.
Contributor(s): Gao, Xiao-Zhi, autor. | Zenger, Kai, autor.
Material type: materialTypeLabelE-bookSeries: (SpringerBriefs in Computational Intelligence, 2625-3704); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2015Description: 1 recurso en línea (VI, 88 páginas 46 ilustraciones, 5 ilustraciones a color.).ISBN: 9783319083568.Subject: Inteligencia artificialOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
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.
Abstract: 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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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería Q342 .W364 2015 EB (Browse shelf(Opens below)) Acceso electrónico eBook.12112103
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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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