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An Invasive Weed Optimization Algorithm for the Resource Availability Cost Problem

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  • V. VAN PETEGHEM

    ()

  • M. VANHOUCKE

    ()

Abstract

In this paper, an Invasive Weed Optimization (IWO) algorithm for the Resource Availability Cost Problem (RACP) is presented, in which the total cost of the (unlim- ited) renewable resources required to complete the project by a pre-specified 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. In this paper, the algorithm is used for the first time to solve a project scheduling problem. All algorithmic compo- nents are explained in detail and computational results for the RACP are presented.

Suggested Citation

  • V. Van Peteghem & M. Vanhoucke, 2011. "An Invasive Weed Optimization Algorithm for the Resource Availability Cost Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/697, Ghent University, Faculty of Economics and Business Administration.
  • Handle: RePEc:rug:rugwps:11/697
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    File URL: http://wps-feb.ugent.be/Papers/wp_11_697.pdf
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