INVESTIGADORES
FRUTOS Mariano
artículos
Título:
COMPARISON OF MULTI-OBJECTIVE EVOLUTIONARY ALGORITHMS FOR OPERATIONS SCHEDULING UNDER MACHINE AVAILABILITY CONSTRAINTS
Autor/es:
MARIANO FRUTOS; MÁXIMO MÉNDEZ; FERNANDO TOHMÉ; DIEGO BROZ
Revista:
THE SCIENTIFIC WORLD JOURNAL
Editorial:
HINDAWI PUBLISHING CORPORATION
Referencias:
Lugar: Cairohindawi; Año: 2013 vol. 2013 p. 1 - 1
ISSN:
2356-6140
Resumen:
Many of the problems that arise in production systems can be handled with Multi-Objective 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 Multi-Objective 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.
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