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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Bibliographic Details
Published in:	Knowledge-based systems Vol. 172; pp. 42 - 63
Main Authors:	Elaziz, Mohamed Abd, Mirjalili, Seyedali
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 15.05.2019 Elsevier Science Ltd
Subjects:	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
Online Access:	Get full text
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