A Genetic Algorithm for the Multidimensional Knapsack Problem

  • Authors:
  • P. C. Chu;J. E. Beasley

  • Affiliations:
  • The Management School, Imperial College, London SW7 2AZ, England. E-mail: p.chu@ic.ac.uk, j.beasley@ic.ac.uk;The Management School, Imperial College, London SW7 2AZ, England. E-mail: p.chu@ic.ac.uk, j.beasley@ic.ac.uk

  • Venue:
  • Journal of Heuristics
  • Year:
  • 1998

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Abstract

In this paper we present a heuristic based upon geneticalgorithms for the multidimensional knapsack problem. A heuristicoperator which utilises problem-specific knowledge is incorporatedinto the standard genetic algorithm approach. Computational resultsshow that the genetic algorithm heuristic is capable of obtaininghigh-quality solutions for problems of various characteristics,whilst requiring only a modest amount of computational effort.Computational results also show that the genetic algorithm heuristicgives superior quality solutions to a number of other heuristics.