A Hybrid Multiobjective Genetic Algorithm for Robust Resource-Constrained Project Scheduling with Stochastic Durations

Jian Xiong, Ying-wu Chen, Ke-wei Yang, Qing-song Zhao and Li-ning Xing

Mathematical Problems in Engineering, 2012, vol. 2012, 1-24

Abstract:

We study resource-constrained project scheduling problems with perturbation on activity durations. With the consideration of robustness and stability of a schedule, we model the problem as a multiobjective optimization problem. Three objectives—makespan minimization, robustness maximization, and stability maximization—are simultaneously considered. We propose a hybrid multiobjective evolutionary algorithm (H-MOEA) to solve this problem. In the process of the H-MOEA, the heuristic information is extracted periodically from the obtained nondominated solutions, and a local search procedure based on the accumulated information is incorporated. The results obtained from the computational study show that the proposed approach is feasible and effective for the resource-constrained project scheduling problems with stochastic durations.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:786923

DOI: 10.1155/2012/786923

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