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An Introduction to Harmony Search Optimization Method - download pdf or read online

By Xiaolei Wang, Xiao-Zhi Gao, Kai Zenger

ISBN-10: 3319083554

ISBN-13: 9783319083551

ISBN-10: 3319083562

ISBN-13: 9783319083568

This short offers an in depth creation, dialogue and bibliographic evaluation of the nature1-inspired optimization set of rules known as concord seek. It makes use of plenty of simulation effects to illustrate the benefits of concord seek and its versions and likewise their drawbacks. The authors express how weaknesses might be amended through hybridization with different optimization equipment. The concord seek approach with functions should be of price to researchers in computational intelligence in demonstrating the cutting-edge of study on an set of rules of present curiosity. It additionally is helping researchers and practitioners of electric and laptop engineering extra typically in acquainting themselves with this system of vector-based optimization.

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Sci. 5(2), 144–155 (2014) 8. H. Omrana, M. Mahdavib, Global-best harmony search. Appl. Math. Comput. 198(2), 643–656 (2008) 9. F. Amini, P. Ghaderi, Hybridization of harmony search and ant colony optimization for optimal locating of structural dampers. Appl. Soft Comput. 13(5), 2272–2280 (2013) 10. K. Pan, L. Wang, L. Gao, A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers. Soft Comput. 11(8), 5270–5280 (2011) 11. J. B. Huang, F. , A heuristic particle swarm optimizer for optimization of pin connected structures.

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As aforementioned, the HM only stores the feasible solution candidates. The new HM members are generated either from the existing HM members or in a random way. Nevertheless, they are not guaranteed to always meet all the constraints. 1 shows that in the HS method, the new HM members satisfying the constraints can be obtained based on only trial and error, which may lead to a time-consuming procedure, especially in case of multiple and complex constraint functions [4]. In our modified HS method, we take advantage of those HM members that do not even meet the constraints.

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


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