An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem

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An experimental study of a fuzzy adaptive emperor penguin optimizer for global optimization problem

Emperor Penguin Optimizer (EPO) is a recently developed population-based meta-heuristic algorithm that simulates the huddling behavior of emperor penguins. Mixed results have been observed on the performance of EPO in solving general optimization problems. Within the EPO, two parameters need to be t...

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Bibliographic Details
Main Authors:	Kader, Md. Abdul, Zamli, Kamal Z., Alkazemi, Basem Yousef
Format:	Article
Language:	English
Published:	IEEE 2022
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/35764/ http://umpir.ump.edu.my/id/eprint/35764/1/An%20experimental%20study%20of%20a%20fuzzy%20adaptive.pdf

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