Metaheuristics exposed: Unmasking the design pitfalls of arithmetic optimization algorithm in benchmarking

This work unveils design flaws within most metaheuristics, with a specific focus on issues associated with the arithmetic optimization algorithm (AOA). Despite being a simple metaheuristic optimizer inspired by mathematical operations, AOA holds promise for addressing complex real-world applications...

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Bibliographic Details

Published in:	Applied soft computing Vol. 160; p. 111696
Main Authors:	Deng, Lingyun, Liu, Sanyang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.07.2024
Subjects:	Arithmetic optimization algorithm Design flaw Metaheuristics Shifted benchmarks Structural bias Design flaw Shifted benchmarks Arithmetic optimization algorithm Metaheuristics Structural bias
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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