Comparison of multiobjective evolutionary algorithms for operations scheduling under machine availability constraints.
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.
Department of Engineering and Instituto de Investigaciones Económicas y Sociales del Sur (IIESS-CONICET), Universidad Nacional del Sur, Avenida. Alem 1253, 8000 Bahía Blanca, Argentina.
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M
Frutos
Instituto Universitario de Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI), Universidad de Las Palmas de Gran Canaria (ULPGC), Campus Universitario de Tafira, 35017 Las Palmas de Gran Canaria, Spain.
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M
Méndez
Department of Economics and Instituto de Investigaciones Económicas y Sociales del Sur (IIESS-CONICET), Universidad Nacional del Sur (UNS), 12 de Octubre 1198, 8000 Bahía Blanca, Argentina.
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F
Tohmé
Department of Engineering and Instituto de Investigaciones Económicas y Sociales del Sur (IIESS-CONICET), Universidad Nacional del Sur, Avenida. Alem 1253, 8000 Bahía Blanca, Argentina.
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D
Broz
D000465:Algorithms; D008962:Models, Theoretical