Breeding Particle Swarm Optimization for Railways Rolling Stock Preventive Maintenance Scheduling

摘要

The goal of railway rolling stock maintenance and replacement approaches is to reduce overall cost while increasing reliability which is multi objective op timization problem and a proper predictive maintenance scheduling table sh ould be adequately designed. We propose Breeding Particle Swarm Optimization (BPSO) model based on the concepts of Breeding Swarm and Genetic Algor ithm (GA) operators to design this table. The practical experiment shows th at our model reduces cost while increasing reliability compared to other models previously utilized.