Robust Optimization Model of Project Scheduling Problem Based on Genetic Algorithm

A robust optimization model of resource-constrained critical chain project scheduling problem is introduced.Stochastic programming method is used to describe the uncertainty of activity duration.Based on the traditional critical chain project scheduling mode, a genetic algorithm is introduced, and steps of solving proposed model for RCPSP problem with stochastic activity durations are designed.An actual project is applied to explain the robust optimization model and the proposed genetic algorithm.The numeric experiment showed that the method designed in this paper is robust to deal with activity duration uncertainties.