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

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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Bibliografiske detaljer
Main Authors: Kanak Kalita, Janjhyam Venkata Naga Ramesh, Robert Čep, Pradeep Jangir, Sundaram B. Pandya, Ranjan Kumar Ghadai, Laith Abualigah
Format: Article
Sprog:English
Udgivet: Springer 2024-07-01
Serier:International Journal of Computational Intelligence Systems
Fag:
Many-objective optimization
Convergence
Diversity
Many-Objective Whale Optimization Algorithm
Pareto optimality
Online adgang:https://doi.org/10.1007/s44196-024-00562-0

Internet

https://doi.org/10.1007/s44196-024-00562-0

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