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A genetic-algorithm-based resource-constrained construction scheduling system

Author

Listed:
  • Sou-Sen Leu
  • Chung-Huei Yang

Abstract

Resources for construction activities are limited in the real construction world. To avoid waste and shortage of resources on a construction jobsite, scheduling must include resource allocation. A new resourceconstrained construction scheduling system is proposed in this paper. A GA-based searching technique is adopted in the system. In this paper, new GA crossover and mutation operators, UX3 and UM3, are presented. These new operators overcome the drawback of traditional GA operators for sequencing problems. The system effectively can provide the optimal combination of construction duration, resource quantities and minimum project duration under the constraint of limited resources.

Suggested Citation

  • Sou-Sen Leu & Chung-Huei Yang, 1999. "A genetic-algorithm-based resource-constrained construction scheduling system," Construction Management and Economics, Taylor & Francis Journals, vol. 17(6), pages 767-776.
    • Handle: RePEc:taf:conmgt:v:17:y:1999:i:6:p:767-776
    DOI: 10.1080/014461999371105
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    Citations

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    Cited by:

    1. Hong Zhang & Heng Li & C. M. Tam, 2006. "Heuristic scheduling of resource-constrained, multiple-mode and repetitive projects," Construction Management and Economics, Taylor & Francis Journals, vol. 24(2), pages 159-169.
    2. Omid Bozorg Haddad & Mahsa Mirmomeni & Mahboubeh Zarezadeh Mehrizi & Miguel Mariño, 2010. "Finding the shortest path with honey-bee mating optimization algorithm in project management problems with constrained/unconstrained resources," Computational Optimization and Applications, Springer, vol. 47(1), pages 97-128, September.
    3. C. M. Tam & Thomas Tong & S. O. Cheung & Albert Chan, 2001. "Genetic algorithm model in optimizing the use of labour," Construction Management and Economics, Taylor & Francis Journals, vol. 19(2), pages 207-215.
    4. Sou-Sen Leu & Theresia Daisy Nattali Suparman & Cathy Chang-Wei Hung, 2021. "An Exploratory Study on Optimal Iterative Design Schedules with the Consideration of Design Quality and Resource Constraints," Sustainability, MDPI, vol. 13(8), pages 1-14, April.
    5. H. Zhang & C. M. Tam, 2003. "Fuzzy decision-making for dynamic resource allocation," Construction Management and Economics, Taylor & Francis Journals, vol. 21(1), pages 31-41.
    6. Wei He & Wenjing Li & Wei Wang, 2021. "Developing a Resource Allocation Approach for Resource-Constrained Construction Operation under Multi-Objective Operation," Sustainability, MDPI, vol. 13(13), pages 1-22, June.

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