An initial study of practical multiobjective production scheduling using genetic algorithms

An initial study of practical multiobjective production scheduling using genetic algorithms

Applying genetic algorithms to scheduling problems is a powerful technique which has the potential to be used as a multi-objective optimisation tool. Implementations of multi-objective genetic algorithms (MOGAs) could provide an innovative and interactive decision making technique for adaptive sched...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Shaw, K.J, Fleming, P.J
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Optimisation
Optimisation techniques
Production management
Systems theory applications
Systems theory applications in industry
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Applying genetic algorithms to scheduling problems is a powerful technique which has the potential to be used as a multi-objective optimisation tool. Implementations of multi-objective genetic algorithms (MOGAs) could provide an innovative and interactive decision making technique for adaptive scheduling in practical manufacturing applications. Justification and implementation of MOGA schemes for scheduling are discussed and compared.
DOI:10.1049/cp:19960599