An effective multi-objective bald eagle search algorithm for solving engineering design problems

In this paper, a multi-objective bald eagle search algorithm (MOBES) is proposed. The MOBES introduces an archive mechanism to store the non-dominated solutions obtained by the algorithm. When the archive overflows, remove the most crowded solutions by using the roulette method. The MOBES also adds...

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Veröffentlicht in:	Applied soft computing Jg. 145; S. 110585
Hauptverfasser:	Zhang, Yunhui, Zhou, Yongquan, Zhou, Guo, Luo, Qifang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.09.2023
Schlagworte:	Benchmark function Engineering design problems Metaheuristic Multi-objective bald eagle search algorithm Pareto optimal solutions Pareto optimal solutions Benchmark function Metaheuristic Engineering design problems Multi-objective bald eagle search algorithm
ISSN:	1568-4946
Online-Zugang:	Volltext
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