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...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Kanak Kalita, Janjhyam Venkata Naga Ramesh, Robert Čep, Pradeep Jangir, Sundaram B. Pandya, Ranjan Kumar Ghadai, Laith Abualigah
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Springer 2024-07-01
Schriftenreihe:	International Journal of Computational Intelligence Systems
Schlagworte:	Many-objective optimization Convergence Diversity Many-Objective Whale Optimization Algorithm Pareto optimality
Online-Zugang:	https://doi.org/10.1007/s44196-024-00562-0
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!