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A simulated annealing hyperheuristic for construction resource levelling

Author

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  • Konstantinos Anagnostopoulos
  • Georgios Koulinas

Abstract

Resource levelling techniques aim to minimize the fluctuation from one time period to another in resource usage. Except for small-sized problems, though, computational optimization procedures are inefficient when solving construction resource levelling problems. Consequently, heuristic and metaheuristic approaches are used to get an acceptable, but not necessarily optimal, solution. A simulated annealing hyperheuristic to generate better-levelled resource profiles is proposed. Unlike traditional heuristic algorithms, a hyperheuristic operates in the 'low level' heuristics domain rather than in the solutions domain. A low level heuristic, on the other hand, works in the current solution neighbourhood. The algorithm has been programmed within a commercial project management software system to improve its performance. The low level heuristics operate on the priority levels that the software uses for resource levelling. An illustrative example and the computational analysis demonstrate the potential of the procedure in solving complex scheduling problems.

Suggested Citation

  • Konstantinos Anagnostopoulos & Georgios Koulinas, 2010. "A simulated annealing hyperheuristic for construction resource levelling," Construction Management and Economics, Taylor & Francis Journals, vol. 28(2), pages 163-175.
    • Handle: RePEc:taf:conmgt:v:28:y:2010:i:2:p:163-175
    DOI: 10.1080/01446190903369907
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    Citations

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    Cited by:

    1. Borna Dasović & Uroš Klanšek, 2022. "A Review of Energy-Efficient and Sustainable Construction Scheduling Supported with Optimization Tools," Energies, MDPI, vol. 15(7), pages 1-17, March.
    2. Borna Dasović & Mario Galić & Uroš Klanšek, 2020. "A Survey on Integration of Optimization and Project Management Tools for Sustainable Construction Scheduling," Sustainability, MDPI, vol. 12(8), pages 1-18, April.
    3. Borna Dasović & Uroš Klanšek, 2021. "Integration of Mixed-Integer Nonlinear Program and Project Management Tool to Support Sustainable Cost-Optimal Construction Scheduling," Sustainability, MDPI, vol. 13(21), pages 1-20, November.
    4. Lung-Yu Li & Jian-You Xu & Shuenn-Ren Cheng & Xingong Zhang & Win-Chin Lin & Jia-Cheng Lin & Zong-Lin Wu & Chin-Chia Wu, 2022. "A Genetic Hyper-Heuristic for an Order Scheduling Problem with Two Scenario-Dependent Parameters in a Parallel-Machine Environment," Mathematics, MDPI, vol. 10(21), pages 1-22, November.
    5. Gahm, Christian & Dünnwald, Bastian & Sahamie, Ramin, 2014. "A multi-criteria master production scheduling approach for special purpose machinery," International Journal of Production Economics, Elsevier, vol. 149(C), pages 89-101.

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