A GA-Based Approach for Solving Fuzzy Project Scheduling
In this paper, a new optimization method based on GA for solving resource-constraint project scheduling with uncertain activity duration is proposed. Fuzzy set theory is used to represent the uncertainties of activity duration. A searching technique using genetic algorithm is adopted to search for the minimum of fuzzy project makespan. A case with uncertain activity duration is used to illustrate the performance of the proposed method.