Combining linear programming and multiobjective evolutionary computation for solving a type of stochastic knapsack problem

  • Authors:
  • Fermín Mallor-Gímenez;Rosa Blanco;Cristina Azcárate

  • Affiliations:
  • Department of Statistics and Operations Research, Edificio Los Magnolios, Public University of Navarre, Pamplona, Spain;Department of Statistics and Operations Research, Edificio Los Magnolios, Public University of Navarre, Pamplona, Spain;Department of Statistics and Operations Research, Edificio Los Magnolios, Public University of Navarre, Pamplona, Spain

  • Venue:
  • EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
  • Year:
  • 2007

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Abstract

In this paper, the design of systems using mechanical or electrical energy-transformation devices is treated as a knapsack problem. Due to the well-known NP-hard complexity of the knapsack problem, a combination of integer linear programming and evolutionary multicriteria optimization is presented to solve this real problem with promising experimental results.