An Invasive Weed Optimization Algorithm for the Resource Availability Cost Problem
AbstractIn 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.
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Bibliographic InfoPaper provided by Ghent University, Faculty of Economics and Business Administration in its series Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium with number 11/697.
Length: 2 pages
Date of creation: Jan 2011
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2011-03-05 (All new papers)
- NEP-CMP-2011-03-05 (Computational Economics)
- NEP-PPM-2011-03-05 (Project, Program & Portfolio Management)
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