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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Applied soft computing Jg. 160; S. 111696
Hauptverfasser:	Deng, Lingyun, Liu, Sanyang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.07.2024
Schlagworte:	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-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!