A chaotic PSO approach to multi-mode resource-constraint project scheduling with uncertainty Online publication date: Wed, 18-Mar-2015
by Weiming Chen, Renbin Xiao, Hongzhi Lu
International Journal of Computational Science and Engineering (IJCSE), Vol. 6, No. 1/2, 2011
Abstract: In this paper, a new optimisation method based on chaotic particle swarm optimisation (CPSO) algorithm for solving multi-mode resource-constraint project scheduling problem (MRCPSP) under uncertainty is proposed. Fuzzy set theory is used to represent the uncertainties of activity duration. A searching technique using CPSO algorithm is adopted to search for the minimum of fuzzy project completion time. A case with uncertain activity duration is used to illustrate the performance of the proposed method. The result indicates that CPSO algorithm can assist project managers in selecting a schedule with the least possibility of being late in an uncertain scheduling environment.
Online publication date: Wed, 18-Mar-2015
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