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 Algor...

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Main Authors: M. Frutos, M. Méndez, F. Tohmé, D. Broz
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/418396
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author M. Frutos
M. Méndez
F. Tohmé
D. Broz
author_facet M. Frutos
M. Méndez
F. Tohmé
D. Broz
author_sort M. Frutos
collection DOAJ
description 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.
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spelling doaj-art-2762de2ec89c485fbcc82edbc8e1de6b2025-02-03T01:12:50ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/418396418396Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability ConstraintsM. Frutos0M. Méndez1F. Tohmé2D. Broz3Department of Engineering and Instituto de Investigaciones Económicas y Sociales del Sur (IIESS-CONICET), Universidad Nacional del Sur, Avenida. Alem 1253, 8000 Bahía Blanca, ArgentinaInstituto 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, SpainDepartment 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, ArgentinaDepartment of Engineering and Instituto de Investigaciones Económicas y Sociales del Sur (IIESS-CONICET), Universidad Nacional del Sur, Avenida. Alem 1253, 8000 Bahía Blanca, ArgentinaMany 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.http://dx.doi.org/10.1155/2013/418396
spellingShingle M. Frutos
M. Méndez
F. Tohmé
D. Broz
Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
The Scientific World Journal
title Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
title_full Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
title_fullStr Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
title_full_unstemmed Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
title_short Comparison of Multiobjective Evolutionary Algorithms for Operations Scheduling under Machine Availability Constraints
title_sort comparison of multiobjective evolutionary algorithms for operations scheduling under machine availability constraints
url http://dx.doi.org/10.1155/2013/418396
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AT dbroz comparisonofmultiobjectiveevolutionaryalgorithmsforoperationsschedulingundermachineavailabilityconstraints