Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
Joint Authors
Frutos, M.
Tohmé, F.
Broz, D.
Méndez, M.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Many of the problems that arise in production systems can be handled with multiobjective techniques.
One of those problems is that of scheduling operations subject to constraints on the availability of machines and buffer capacity.
In this paper we analyze different Evolutionary multiobjective Algorithms (MOEAs) for this kind of problems.
We consider an experimental framework in which we schedule production operations for four real world Job-Shop contexts using three algorithms, NSGAII, SPEA2, and IBEA.
Using two performance indexes, Hypervolume and R2, we found that SPEA2 and IBEA are the most efficient for the tasks at hand.
On the other hand IBEA seems to be a better choice of tool since it yields more solutions in the approximate Pareto frontier.
American Psychological Association (APA)
Frutos, M.& Méndez, M.& Tohmé, F.& Broz, D.. 2013. Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032897
Modern Language Association (MLA)
Frutos, M.…[et al.]. Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints. The Scientific World Journal No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1032897
American Medical Association (AMA)
Frutos, M.& Méndez, M.& Tohmé, F.& Broz, D.. Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032897
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032897