Chaotic differential evolution algorithm for resource constrained project scheduling problem

Authors:
Weiming Chen;Xiaoyang Ni
Affiliations:
Faculty of Engineering, China University of Geosciences, Wuhan, 430074, China;Faculty of Engineering, China University of Geosciences, Wuhan, 430074, China
Venue:
International Journal of Computing Science and Mathematics
Year:
2014

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Abstract

In this paper, a new optimisation method based on chaotic differential evolution CDE algorithm for solving resource-constraint project scheduling problem RCPSP is proposed. By using improved logistic chaotic map and penalty function, the objective function can be solved more perfectly. Project scheduling problem library PSPLIB has been taken into account so as to test the effect of novel hybrid method. Simulation results and comparisons show that the chaotic differential evolution algorithm is competitive and stable in performance with other optimisation approaches presented in literatures.