Research on production scheduling problems in process industry based on particle swarm optimization algorithm

In order to improve the production of process industry,Particle Swarm Optimization(PSO)algorithm based on inertia weight is applied to production scheduling problem.Based on the analysis of the production scheduling problem for process industry,a production scheduling model is established,whose goal is to obtain the shortest total process time.The dynamic inertia weight is introduced into the basic PSO algorithm to improve its performance,which the inertia values are changed during the optimization algorithm searching.The coding and decoding of optimization algorithm,the detail algorithm implementation are also discussed.Using a practical production scheduling problem as an example,the established model and designed algorithm are applied to implement scheduling simulation.The simulation results show that the scheduling model and algorithm are feasible,and have a better scheduling performance than ant colony system scheduling,and can be applied to solve practical production scheduling problem for process industry.