A hyper-heuristic for improving the initial population of whale optimization algorithm

This paper improves the performance of the recently-proposed Whale Optimization Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback whales. There are several improvements in the literature for this algorithm of which chaotic maps and Opposition-Based Learning (O...

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Vydané v:	Knowledge-based systems Ročník 172; s. 42 - 63
Hlavní autori:	Elaziz, Mohamed Abd, Mirjalili, Seyedali
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier B.V 15.05.2019 Elsevier Science Ltd
Predmet:	Algorithms Computer simulation Differential Evolution (DE) Evolutionary algorithms Evolutionary computation Experiments Global optimization Heuristic Heuristic methods Machine learning Optimization Optimization algorithms Performance enhancement Swarm intelligent Whale Optimization Algorithm (WOA) Whales & whaling Swarm intelligent Global optimization Whale Optimization Algorithm (WOA) Differential Evolution (DE)
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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