Improved whale optimization algorithm with a stable solution preservation mechanism for multimodal multi-objective optimization

Multimodal multi-objective optimization problems (MMOPs) pose a challenge due to the need to identify multiple Pareto-optimal solution sets (PSs) distributed across both global and local regions. Although the whale optimization algorithm (WOA) has shown effectiveness in various optimization tasks, r...

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Bibliographic Details
Published in:	Cluster computing Vol. 29; no. 1; p. 35
Main Authors:	Sun, Yu, Chang, Yuqing, Hou, Shengle
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.02.2026 Springer Nature B.V
Subjects:	Algorithms Archives & records Computer Communication Networks Computer Science Convergence Decomposition Effectiveness Genetic algorithms Identification methods Multiple objective analysis Neighborhoods Operating Systems Optimization algorithms Pareto optimization Pareto optimum Processor Architectures Self organizing maps Cluster Whale optimization algorithm Self-organizing Map Multimodal multi-objective optimization
ISSN:	1386-7857, 1573-7543
Online Access:	Get full text
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