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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 Beobachtungen the local search but suffers from a long convergence time. This chapter compares three typical evolutionary optimization methods, GA, CSA, and HS, with regard to their structures and performances using illustrative examples.
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Bedingte vermittelnde Beobachtungenrom the viewpoint of structure, the cooperation in the fusion strategies of the hybrid HS methods could be in the manner of either cooperator or embedded operators. This chapter first gives an overview of the variations of the HS and the current research trends, and a modified HS method for constrained optimization is next discussed in details.
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https://doi.org/10.1007/978-3-642-91820-9curacy, and these objectives usually conflict each other. Additionally, the ‘no free lunch (NFL)’ theorem should also be taken into account when handling various optimization problems in engineering. This chapter gives a concise summary of the book and points out the further research trend of the HS method.
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The Overview of Harmony Search,and single search memory involved decide its excellence in structure simplicity and small initial population. This chapter presents the discussions of the inspiration of harmony search, the basic harmony search optimization algorithm, and an overview of different application areas of the harmony search.
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