A Comparative Study of Recent Multi-objective Metaheuristics for Solving Constrained Truss Optimisation Problems

Multi-objective truss optimisation is a research topic that has been less investigated in the literature compared to the single-objective cases. This paper investigates the comparative performance of fourteen new and established multi-objective metaheuristics when solving truss optimisation problems...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Archives of computational methods in engineering Jg. 28; H. 5; S. 4031 - 4047
Hauptverfasser:	Panagant, Natee, Pholdee, Nantiwat, Bureerat, Sujin, Yildiz, Ali Riza, Mirjalili, Seyedali
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Dordrecht Springer Netherlands 01.08.2021 Springer Nature B.V
Schlagworte:	Adaptive algorithms Comparative studies Constraints Design optimization Engineering Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic methods Machine learning Mathematical and Computational Engineering Multiple objective analysis Original Paper Sorting algorithms Trusses
ISSN:	1134-3060, 1886-1784
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!