A New Resource Constrained Project Scheduling Problem

The optimal scheduling of resource and program has became the key to the success of enterprise development projects. The conventional resource constrained project scheduling problem seeks a solution which satisfies the time and resource constraints on purpose of a minimal construction period. With the development of the society, the realistic problems trend to be more and more complicated, and the RCPSP model is thereupon complex. This paper proposes a new project scheduling model with success rate and it is suitable for large-scale project scheduling problems, then, an improved particle swarm optimization called CPSO based on PSO and GA is used to solve the problems. The application of solving examples with CPSO demonstrates that this algorithm is effective.