A Simulation Optimization Approach for the Multi-Objective Multi-Mode Resource Constraint Project Scheduling Problem

According to the real projects’ data, activity durations are affected by numerous parameters. in this research, we have developed a multi-resource multi objective multi-mode resource constrained scheduling problem with stochastic durations where the mean and the standard deviation of activity durations are related to the mode in which each activity is performed. the objective functions of model were to minimize the net present value and makespan of the project. a simulation-based optimization approach was used to handle the problem with several stochastic events. this feature helped us to find several solutions quickly while there was no need to take simplification assumptions. to test the efficiency of the proposed algorithm, several test problems were taken from the psplib directory and solved. the results show the efficiency of the proposed algorithm both in quality of the solutions and the speed.