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Exploring a resolution method based on an evolutionary game-theoretical model for minimizing the machines with limited workload capacity and interval constraints

  • Universidad de Santiago de Chile

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Résumé

We present an extension of the machines minimization for scheduling jobs with interval constraints, adding a limited machines workload capacity. We are motivated by the fixed-speed processors minimization problem subject to energy constraints, in which the time resolution is a critical factor for the quality of service in the system. We propose a mixed integer linear programming (MILP) model for an exact solution and explore an alternative resolution method based on a noncooperative evolutionary theoretical-game model. Our resolution method guarantees a feasible solution to the problem and the computational experiments with a timeout of 3 minutes show that it finds a solution with a number of machines less than or equal to the number of machines for a 97,19% of instances in comparison with the MILP solution over CPLEX 12.6.1.0, in only deciseconds.

langue originaleAnglais
titreModelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015 - Part II
rédacteurs en chefHoai An Le Thi, Ngoc Thanh Nguyen, Tao Pham Dinh
EditeurSpringer Verlag
Pages321-329
Nombre de pages9
ISBN (imprimé)9783319181660
Les DOIs
étatPublié - 1 janv. 2015
Modification externeOui
Evénement3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015 - Nancy, France
Durée: 11 mai 201513 mai 2015

Série de publications

NomAdvances in Intelligent Systems and Computing
Volume360
ISSN (imprimé)2194-5357

Une conférence

Une conférence3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015
Pays/TerritoireFrance
La villeNancy
période11/05/1513/05/15

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