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A genetic algorithm for the resource constrained multi-project scheduling problem

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  • Gonçalves, J.F.
  • Mendes, J.J.M.
  • Resende, M.G.C.

Abstract

This paper presents a genetic algorithm for the resource constrained multi-project scheduling problem. The chromosome representation of the problem is based on random keys. The schedules are constructed using a heuristic that builds parameterized active schedules based on priorities, delay times, and release dates defined by the genetic algorithm. The approach is tested on a set of randomly generated problems. The computational results validate the effectiveness of the proposed algorithm.

Suggested Citation

  • Gonçalves, J.F. & Mendes, J.J.M. & Resende, M.G.C., 2008. "A genetic algorithm for the resource constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1171-1190, September.
    • Handle: RePEc:eee:ejores:v:189:y:2008:i:3:p:1171-1190
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    References listed on IDEAS

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