Research on Multi-object Job-shop Scheduling Strategy under Uncertain Environment

In this paper, we propose an improved PSO algorithm to optimize the RBF neural network(IPSO-RBF)for function approximation on the basis of the multi-objective stochastic scheduling model established by predecessors using stochastic programming knowledge. The experimental results show that the improved algorithm can solve the job-shop scheduling problem. The accuracy and speed of the solution have been improved.