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Solving the Multi-Mode Resource-Constrained Project Scheduling Problem with genetic algorithms

Author

Listed:
  • J Alcaraz

    (Universidad Politécnica de Valencia)

  • C Maroto

    (Universidad Politécnica de Valencia)

  • R Ruiz

    (Universidad Politécnica de Valencia)

Abstract

In this paper we consider the Multi-Mode Resource-Constrained Project Scheduling Problem with makespan minimisation as the objective. We have developed new genetic algorithms, extending the representation and operators previously designed for the single-mode version of the problem. Moreover, we have defined a new fitness function for the individuals who are infeasible. We have tested different variants of the algorithm and chosen the best to be compared to different heuristics previously published, using standard sets of instances included in PSPLIB. Results illustrate the good performance of our algorithm.

Suggested Citation

  • J Alcaraz & C Maroto & R Ruiz, 2003. "Solving the Multi-Mode Resource-Constrained Project Scheduling Problem with genetic algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(6), pages 614-626, June.
    • Handle: RePEc:pal:jorsoc:v:54:y:2003:i:6:d:10.1057_palgrave.jors.2601563
    DOI: 10.1057/palgrave.jors.2601563
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    References listed on IDEAS

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