Enhancing the Whale Optimisation Algorithm with sub-population and hybrid techniques for single- and multi-objective optimisation

The Whale Optimisation Algorithm (WOA) is a meta-heuristic model inspired by the hunting behaviours of humpback whales. Similar to many other meta-heuristic models, e.g., Particle Swarm Optimisation (PSO), Artificial Bee Colony (ABC), and Ant Colony Optimisation (ACO), the WOA is susceptible to the...

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Bibliographic Details
Published in:	Soft computing (Berlin, Germany) Vol. 28; no. 5; pp. 3941 - 3971
Main Authors:	Cai, Zheng, Choo, Yit Hong, Le, Vu, Lim, Chee Peng, Liao, Mingyu
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2024 Springer Nature B.V
Subjects:	Accuracy Algorithms Ant colony optimization Archives & records Artificial Intelligence Business metrics Computational Intelligence Confidence intervals Control Convergence Engineering Evolutionary computation Exploitation Genetic algorithms Heuristic Heuristic methods Mathematical Logic and Foundations Mechatronics Multiple objective analysis Mutation Optimization Particle swarm optimization Problem solving Robotics Sorting algorithms Swarm intelligence Whales Whales & whaling Hybridisation method Sub-population technique Whale Optimisation Algorithm Multi-objective optimisation
ISSN:	1432-7643, 1433-7479
Online Access:	Get full text
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