HYBRID GENETIC AND PENGUIN SEARCH OPTIMIZATION ALGORITHM (GA-PSEOA) FOR EFFICIENT FLOW SHOP SCHEDULING SOLUTIONS

This paper presents a novel hybrid approach, fusing genetic algorithms (GA) and penguin search optimization (PSeOA), to address the flow shop scheduling problem (FSSP). GA utilizes selection, crossover, and mutation inspired by natural selection, while PSeOA emulates penguin foraging behavior for ef...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Facta Universitatis. Series: Mechanical Engineering 2024-04, Vol.22 (1), p.77
Hauptverfasser:	Mzili, Toufik, Mzili, Ilyass, Riffi, Mohammed Essaid, Pamucar, Dragan, Simic, Vladimir, Abualigah, Laith, Almohsen, Bandar
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!