An efficient slime mould algorithm for solving multi-objective optimization problems

Recently, the Slime mould algorithm (SMA) was proposed to solve the single-objective optimization problems. It is considered as a strong algorithm for its efficient global search capability. This paper presents a multi-objective optimization algorithm based on the SMA called multi-objective SMA (MOS...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Expert systems with applications Jg. 187; S. 115870
Hauptverfasser:	Houssein, Essam H., Mahdy, Mohamed A., Shebl, Doaa, Manzoor, Awais, Sarkar, Ram, Mohamed, Waleed M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 01.01.2022 Elsevier BV
Schlagworte:	Archives & records CEC’20 benchmark functions Coils Design engineering Evolutionary algorithm Evolutionary algorithms Genetic algorithms Helical springs Indicators Multi-objective optimization Multiple objective analysis Optimization algorithms Pareto optimal solutions Pareto optimization Pareto optimum Particle swarm optimization Performance evaluation Slime Slime mould algorithm Sorting algorithms Pareto optimal solutions Multi-objective optimization CEC’20 benchmark functions Evolutionary algorithm Slime mould algorithm
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!