Optimization of Resource-Constrained Multi-Project Scheduling Problem Based on the Genetic Algorithm

In order to solve the resource-constrained multi-project scheduling problem(RCMPSP),a mathematical optimization model is proposed, and the genetic algorithm is designed for this model.This algorithm uses the coding method based on priority of activities, combined with the storage adjacency matrix,which can effectively eliminate the activity scheduling violation. Besides,this paper applies this model to the medical resource scheduling. The parameter analysis indicates that the decision-makers can adjust the feasibility and optimization of the solution by regulating the risk coefficient of the model, which can help the decision-makers to make the decision according to the risk preference.