PMT : opposition based learning technique for enhancing metaheuristic algorithms performance

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

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Bibliographic Details
Main Author: Hammoudeh, S. Alamri
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/33711/1/PMT%20%20opposition%20based%20learning%20technique%20for%20enhancing%20metaheuristic.pdf
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