A research survey: review of AI solution strategies of job shop scheduling problem

This paper focus on artificial intelligence approaches to NP-hard job shop scheduling (JSS) problem. In the literature successful approaches of artificial intelligence techniques such as neural network, genetic algorithm, multi agent systems, simulating annealing, bee colony optimization, ant colony...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of intelligent manufacturing 2015-10, Vol.26 (5), p.961-973
Hauptverfasser:	Çaliş, Banu, Bulkan, Serol
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Business and Management Cognition & reasoning Computer simulation Control Employment Expert systems Genetic algorithms Heuristic Intelligence Job shop scheduling Job shops Machines Manufacturing Mechatronics Neural networks Operations research Optimization Processes Production Production scheduling Robotics Scheduling Strategy Studies
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!