An Introduction to Harmony Search Optimization Method

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 var

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Xiaolei Wang Xiao-Zhi Gao Kai Zenger

An Introduction to Harmony Search Optimization Method

SpringerBriefs in Applied Sciences and Technology Computational Intelligence

Series editor Janusz Kacprzyk, Warsaw, Poland

About this Series The series ‘‘Studies in Computational Intelligence’’ (SCI) publishes new developments and advances in the various areas of computational intelligence—quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life sciences, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems, and hybrid intelligent systems. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution, which enable both wide and rapid dissemination of research output. More information about this series at http://www.springer.com/series/10618

Xiaolei Wang Xiao-Zhi Gao Kai Zenger •

An Introduction to Harmony Search Optimization Method

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Xiaolei Wang Xiao-Zhi Gao Kai Zenger Department of Electrical Engineering and Automation Aalto University Espoo Finland

ISSN 2191-530X ISBN 978-3-319-08355-1 DOI 10.1007/978-3-319-08356-8

ISSN 2191-5318 (electronic) ISBN 978-3-319-08356-8 (eBook)

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