Titlebook: An Introduction to Harmony Search Optimization Method; Xiaolei Wang,Xiao-Zhi Gao,Kai Zenger Book 2015 The Editor(s) (if applicable) and Th

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Bedingte vermittelnde Beobachtungensuperior to the stand-alone ones and become a dominant research topic in the field of NIC methods. This hybridization mechanism has been demonstrated to achieve great improvement in the performance of different optimization issues. In this chapter, four hybrid optimization methods based on the HS co

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https://doi.org/10.1007/978-3-642-91820-9d HS memory (HM), used to control the quality of solutions and balance the intensification and diversification during the search process. These three operators determine the attractive properties of the HS including structure simplicity and fast convergence, which also promote the research of improv

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https://doi.org/10.1007/978-3-319-08356-8Bio-inspired Computing; Harmony Search; Hybrid Optimization Methods; Motor Design; Nature-inspired Algor

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An Introduction to Harmony Search Optimization Method978-3-319-08356-8Series ISSN 2191-530X Series E-ISSN 2191-5318

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An Introduction to Harmony Search Optimization Method

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2191-530X other optimization methods.Supported by reliable results froThis 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 Sea