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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationModelling, 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
EditorsHoai An Le Thi, Ngoc Thanh Nguyen, Tao Pham Dinh
PublisherSpringer Verlag
Pages321-329
Number of pages9
ISBN (Print)9783319181660
DOIs
Publication statusPublished - 1 Jan 2015
Externally publishedYes
Event3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015 - Nancy, France
Duration: 11 May 201513 May 2015

Publication series

NameAdvances in Intelligent Systems and Computing
Volume360
ISSN (Print)2194-5357

Conference

Conference3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2015
Country/TerritoryFrance
CityNancy
Period11/05/1513/05/15

Keywords

  • Game-theoretical model
  • Interval constraints
  • Scheduling

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