Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning

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Hybrid Harmony Search Algorithm with Grey Wolf Optimizer and Modified Opposition-based Learning

Most metaheuristic algorithms, including harmony search (HS), suffer from parameter selection. Many variants have been developed to cope with this problem and improve algorithm performance. In this paper, a hybrid algorithm of HS with grey wolf optimizer (GWO) has been developed to solve the problem...

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Bibliographic Details
Main Authors:	Alomoush, Alaa A., Alsewari, Abdulrahman A., Alamri, Hammoudeh S., Aloufi, Khalid, Kamal Z., Zamli
Format:	Article
Language:	English
Published:	IEEE 2019
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/25051/ http://umpir.ump.edu.my/id/eprint/25051/8/Hybrid%20Harmony%20Search%20Algorithm%20with%20Grey%20Wolf1.pdf

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