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Heuristic Methods for the Resource Availability Cost Problem

In: Handbook on Project Management and Scheduling Vol.1

Author

Listed:
  • Vincent Peteghem

    (EDHEC Business School)

  • Mario Vanhoucke

    (Ghent University)

Abstract

In this chapter, an Invasive Weed Optimization (IWO) algorithm for the resource availability cost problem is presented, in which the total cost of the (unlimited) renewable resources required to complete the project by a prespecified project deadline should be minimized. The IWO algorithm is a new search strategy, which makes use of mechanisms inspired by the natural behavior of weeds in colonizing and finding a suitable place for growth and reproduction. All algorithmic components are explained in detail and computational results for the RACP are presented. The procedure is also executed to solve the RACP with tardiness (RACPT), in which lateness of the project is permitted with a predefined penalty.

Suggested Citation

  • Vincent Peteghem & Mario Vanhoucke, 2015. "Heuristic Methods for the Resource Availability Cost Problem," International Handbooks on Information Systems, in: Christoph Schwindt & Jürgen Zimmermann (ed.), Handbook on Project Management and Scheduling Vol.1, edition 127, chapter 0, pages 339-359, Springer.
    • Handle: RePEc:spr:ihichp:978-3-319-05443-8_16
    DOI: 10.1007/978-3-319-05443-8_16
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    Cited by:

    1. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    2. Patrick Gerhards, 2020. "The multi-mode resource investment problem: a benchmark library and a computational study of lower and upper bounds," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(4), pages 901-933, December.

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