Many-Objective Whale Optimization Algorithm for Engineering Design and Large-Scale Many-Objective Optimization Problems

Abstract In this paper, a novel Many-Objective Whale Optimization Algorithm (MaOWOA) is proposed to overcome the challenges of large-scale many-objective optimization problems (LSMOPs) encountered in diverse fields such as engineering. Existing algorithms suffer from curse of dimensionality i.e., th...

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Auteurs principaux:	Kanak Kalita, Janjhyam Venkata Naga Ramesh, Robert Čep, Pradeep Jangir, Sundaram B. Pandya, Ranjan Kumar Ghadai, Laith Abualigah
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2024-07-01
Collection:	International Journal of Computational Intelligence Systems
Sujets:	Many-objective optimization Convergence Diversity Many-Objective Whale Optimization Algorithm Pareto optimality
Accès en ligne:	https://doi.org/10.1007/s44196-024-00562-0
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