Automated Design of Collaboration-Based Hybrid Metaheuristics

Hybridization plays a prominent role in bolstering the performance of optimization algorithms (OAs), yet designing efficient hybrid OAs tailored to intricate optimization problems persists as a formidable task. This article introduces a novel top-down methodology for the automated design of hybrid O...

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Vydané v:	IEEE transactions on cybernetics Ročník 54; číslo 12; s. 7877 - 7890
Hlavní autori:	Wang, Yipeng, Xin, Bin, Liu, Bo, Wang, Qing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.12.2024
Predmet:	Automated algorithm design (AAD) Automation Benchmark testing Design methodology hybrid metaheuristics (MHs) Mathematical models meta-optimization Metaheuristics multifactorial optimization Multitasking Taxonomy
ISSN:	2168-2267, 2168-2275, 2168-2275
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