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A New Genetic Algorithm for the RCPSP in Large Scale

Author

Listed:
  • Hossein Zoulfaghari

    (Department of Industrial Engineering, University of Tabriz, Tabriz, Iran)

  • Javad Nematian

    (Department of Industrial Engineering, University of Tabriz, Tabriz, Iran)

  • Nader Mahmoudi

    (Department of Industrial Engineering, University of Tabriz, Tabriz, Iran)

  • Mehdi Khodabandeh

    (Department of Industrial Engineering, University of Tabriz, Tabriz, Iran)

Abstract

The Resource Constrained Project Scheduling Problem (RCPSP) is a well-studied academic problem that has been shown to be well suited to optimization via Genetic Algorithms (GA). In this paper, a new method will be designed that would be able to solve RCPSP. This research area is very common in industry especially when a set of activities needs to be finished as soon as possible subject to two sets of constraints, precedence constraints and resource constraints. The presented algorithm in this paper is used to solve large scale RCPSP and improves solutions. Finally, for comparing, results are reported for the most famous classical problems that are taken from PSPLIB.

Suggested Citation

  • Hossein Zoulfaghari & Javad Nematian & Nader Mahmoudi & Mehdi Khodabandeh, 2013. "A New Genetic Algorithm for the RCPSP in Large Scale," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 4(2), pages 29-40, April.
    • Handle: RePEc:igg:jaec00:v:4:y:2013:i:2:p:29-40
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