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Solving resource-constrained project scheduling problem with evolutionary programming

Author

Listed:
  • M H Sebt

    (Amirkabir University of Technology, Tehran, Iran)

  • Y Alipouri

    (Amirkabir University of Technology, Tehran, Iran)

  • Y Alipouri

    (University of Science and Technology, Tehran, Iran)

Abstract

This paper presents an evolutionary programming (EP)-based approach to solving the resource-constrained project scheduling problem (RCPSP), a well-known NP-hard problem in scheduling, with minimization of project duration as the objective subject to precedence and resource constraints. The individual representation of EP for the problem is based on random keys. The serial generation scheme is used in the decoding scheme to generate the project plan. Experimental analyses are presented to investigate the performance of the proposed EP-based methodology, including comparison of the four variants of EP, namely, CEP, FEP, MCEP and IMCEP, with each other and GA to find the best variant of EP for the RCPSP, and comparison of this best variant of EP (MCEP) with other approaches using the J30 standard instances set in PSPLIB. The computational results validate the effectiveness of the proposed algorithm.

Suggested Citation

  • M H Sebt & Y Alipouri & Y Alipouri, 2013. "Solving resource-constrained project scheduling problem with evolutionary programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1327-1335, September.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:9:p:1327-1335
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    Citations

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    Cited by:

    1. Luis F. Machado-Domínguez & Carlos D. Paternina-Arboleda & Jorge I. Vélez & Agustin Barrios-Sarmiento, 2021. "A memetic algorithm to address the multi-node resource-constrained project scheduling problem," Journal of Scheduling, Springer, vol. 24(4), pages 413-429, August.
    2. Yagub Alipouri & Mohammad Hassan Sebt & Abdollah Ardeshir & Mohammad Hossein Fazel Zarandi, 2020. "A mixed-integer linear programming model for solving fuzzy stochastic resource constrained project scheduling problem," Operational Research, Springer, vol. 20(1), pages 197-217, March.

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