Approach by localization and multiobjective evolutionary optimization for flexible job-shop scheduling problems

Traditionally, assignment and scheduling decisions are made separately at different levels of the production management framework. The combining of such decisions presents additional complexity and new problems. We present two new approaches to solve jointly the assignment and job-shop scheduling pr...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on systems, man and cybernetics. Part C, Applications and reviews Jg. 32; H. 1; S. 1 - 13
Hauptverfasser:	Kacem, I., Hammadi, S., Borne, P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New-York, NY IEEE 01.02.2002 Institute of Electrical and Electronics Engineers
Schlagworte:	Applied sciences Computer Science Construction Costs Decisions Diversity reception Encoding Evolutionary Evolutionary computation Exact sciences and technology Genetic algorithms Genetics Job shop scheduling Localization Mathematical models Miscellaneous Operational research and scientific management Operational research. Management science Position (location) Processor scheduling Production management Resource management Robustness Scheduling Evolutionary algorithm Ideal Resource allocation Job shop Multiobjective programming Scheduling Modeling Optimization Workload Assignment Production management Genetic algorithm Coding Manipulation Genetics Localization
ISSN:	1094-6977
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!