An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems

Artificial hummingbird algorithm (AHA) is a recently developed bio-based metaheuristic and it shows superior performance in handling single-objective optimization problems. Despite the merit, this algorithm can only solve problems with one objective. To solve complex multi-objective optimization pro...

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Veröffentlicht in:	Computer methods in applied mechanics and engineering Jg. 398; S. 115223
Hauptverfasser:	Zhao, Weiguo, Zhang, Zhenxing, Mirjalili, Seyedali, Wang, Liying, Khodadadi, Nima, Mirjalili, Seyed Mohammad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Amsterdam Elsevier B.V 01.08.2022 Elsevier BV
Schlagworte:	Algorithms Archives & records Artificial hummingbird algorithm Convergence Convergence and diversity Crowding Design engineering Design optimization Dynamic elimination-based crowding distance Engineering design problems Heuristic methods Multi-objective optimization Multiple objective analysis Non-dominated sorting Pareto optimization Pareto optimum Source code Dynamic elimination-based crowding distance Multi-objective optimization Artificial hummingbird algorithm Engineering design problems Convergence and diversity Non-dominated sorting
ISSN:	0045-7825, 1879-2138
Online-Zugang:	Volltext
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