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Hybrid differential evolution algorithm for the resource constrained project scheduling problem with a flexible project structure and consumption and production of resources

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  • van der Beek, T.
  • Souravlias, D.
  • van Essen, J.T.
  • Pruyn, J.
  • Aardal, K.

Abstract

The resource constrained project scheduling problem with a flexible project structure and consumption and production of resources, involves making a selection of activities and scheduling these activities in order to minimize the makespan, subject to precedence and resource constraints. Since finding a feasible selection of activities is NP-hard, we introduce the concept of group graphs and restrict ourselves to instances with an acyclic group graph. For these instances, which represent many practical cases, we show how to make a feasible selection of activities in polynomial time and use this concept to schedule the selected activities using a hybrid differential evolution algorithm. We compare this algorithm with an algorithm from the literature on special cases of instances without consumption and production of resources, and show that our algorithm creates solutions of higher quality. Furthermore, to compare general instances, we develop an ant colony optimization algorithm that performs slightly better on special cases than the algorithm from literature and show that the hybrid differential evolution algorithm outperforms the ant colony optimization algorithm on general instances.

Suggested Citation

  • van der Beek, T. & Souravlias, D. & van Essen, J.T. & Pruyn, J. & Aardal, K., 2024. "Hybrid differential evolution algorithm for the resource constrained project scheduling problem with a flexible project structure and consumption and production of resources," European Journal of Operational Research, Elsevier, vol. 313(1), pages 92-111.
    • Handle: RePEc:eee:ejores:v:313:y:2024:i:1:p:92-111
    DOI: 10.1016/j.ejor.2023.07.043
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    References listed on IDEAS

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    1. A. Alan B. Pritsker & Lawrence J. Waiters & Philip M. Wolfe, 1969. "Multiproject Scheduling with Limited Resources: A Zero-One Programming Approach," Management Science, INFORMS, vol. 16(1), pages 93-108, September.
    2. Kellenbrink, Carolin & Helber, Stefan, 2015. "Scheduling resource-constrained projects with a flexible project structure," European Journal of Operational Research, Elsevier, vol. 246(2), pages 379-391.
    3. Valls, Vicente & Ballestin, Francisco & Quintanilla, Sacramento, 2008. "A hybrid genetic algorithm for the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 185(2), pages 495-508, March.
    4. Čapek, R. & Šůcha, P. & Hanzálek, Z., 2012. "Production scheduling with alternative process plans," European Journal of Operational Research, Elsevier, vol. 217(2), pages 300-311.
    5. Shicheng Hu & Zhaoze Zhang & Song Wang & Yonggui Kao & Takao Ito, 2019. "A project scheduling problem with spatial resource constraints and a corresponding guided local search algorithm," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(8), pages 1349-1361, August.
    6. Klaus Neumann & Christoph Schwindt, 2003. "Project scheduling with inventory constraints," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 56(3), pages 513-533, January.
    7. Servranckx, Tom & Vanhoucke, Mario, 2019. "A tabu search procedure for the resource-constrained project scheduling problem with alternative subgraphs," European Journal of Operational Research, Elsevier, vol. 273(3), pages 841-860.
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    Cited by:

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