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GA-Based Resource-Constrained Project Scheduling with the Objective of Minimizing Activities’ Cost

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3644))

Abstract

Resource-Constrained Project Scheduling Problem(RCPSP) with the Objective of Minimizing Activities’ Cost is one of the critical sub-problems in partner selection of construction supply chain management. In this paper, this type of RCPSP is mathematically modelled firstly. The analysis on the characteristic of the problem shows that the objective function is non-regular and the problem is NP-complete. The basic idea for the solution of the problem is clarified. A genetic algorithm is developed and the parameters of the algorithm are analyzed based on the tests of an example. The proposed GA is demonstrated to be effective based on the results of a computational study on the updated PSPLIB.

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References

  1. Kolisch, R., Padman, R.: An Integrated Survey of Deterministic Project Scheduling. Omega 3, 249–272 (2001)

    Article  Google Scholar 

  2. Blazewicz, J., Lenstra, J.K., Rinnooy, K.-A.H.G.: Scheduling Subject to Resource Constraints: Classification and Complexity. Discrete Applied Mathematics 1, 11–24 (1983)

    Article  Google Scholar 

  3. Kolisch, R., Hartmann, S.: Heuristic Algorithms for the Resource-Constrained Project Scheduling Problem: Classification and Computational Analysis. In: WWeglarz, J. (ed.) Project Scheduling-Recent Models, Algorithms and Applications, pp. 147–178. Kluwer Academic Publishers, Boston (1999)

    Google Scholar 

  4. Hindi, K.S., Yang, H., Fleszar, K.: An Evolutionary Algorithm for Resource-Constrained Project Scheduling. IEEE Transactions on Evolutionary Computation 5, 512–518 (2002)

    Article  Google Scholar 

  5. Lee, J.K., Kim, Y.D.: Search Heuristics for Resource-Constrained Project Scheduling. Journal of the Operational Research Society 3, 678–689 (1996)

    Google Scholar 

  6. Smith, D.D., Smith, D.V.: Optimal Project Scheduling with Materials Ordering. IIE Transactions 4, 122–129 (1987)

    Article  Google Scholar 

  7. Dodin, B., Elimam, A.A.: Integrated Project Scheduling and Material Planning with Variable Activity Duration and Rewards. IIE Transactions 11, 1005–1018 (2001)

    Article  Google Scholar 

  8. Sprecher, A., Kolisch, R., Drexl, A.: Semi-active, Active, and Non-delay Schedules for the Resource-Constrained Project Scheduling Problem. European Journal of Operational Research 1, 94–102 (1995)

    Article  Google Scholar 

  9. Kolisch, R., Sprecher, A.: PSPLIB-A Project Scheduling Problem Library. European Journal of Operational Research 1, 205–216 (1996)

    Google Scholar 

  10. Liu, Z.Y.: Resource-Constrained Project Scheduling Problem and Its Application in Designing Construction Supply Chain. Ph.D. Dissertation, Huazhong University of Science and Technology (2005)

    Google Scholar 

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© 2005 Springer-Verlag Berlin Heidelberg

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Liu, Z., Wang, H. (2005). GA-Based Resource-Constrained Project Scheduling with the Objective of Minimizing Activities’ Cost. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_97

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  • DOI: https://doi.org/10.1007/11538059_97

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28226-6

  • Online ISBN: 978-3-540-31902-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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