Genetic algorithm for the project scheduling problem with fuzzy time parameters

It is essential to allocate scarce resource and schedule the activities effectively so as to improve the project performance. Due to inherent uncertainties of the environment and activities, a mathematical model with fuzzy time parameters is adopted for the resource-constrained project scheduling problem. A genetic algorithm based on a fuzzy parallel schedule generation scheme is proposed. Two schemes of fuzzification are adopted for activity durations. Computational tests show that triangular fuzzy time parameters would be preferred.