PMT: opposition-based learning technique for enhancing meta-heuristic performance

Meta-heuristic algorithms have shown promising performance in solving sophisticated real-world optimization problems. Nevertheless, many meta-heuristic algorithms are still suffering from a low convergence rate because of the poor balance between exploration (i.e., roaming new potential search areas...

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Bibliographic Details

Main Authors:	Alamri, Hammoudeh S., Kamal Z., Zamli
Format:	Article
Language:	en
Published:	IEEE 2019
Subjects:	QA Mathematics TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25717/1/PMT_%20opposition-based%20learning%20technique%20for%20enhancing.pdf http://umpir.ump.edu.my/id/eprint/25717/ https://doi.org/10.1109/ACCESS.2019.2925088
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