TITLE:
Breeding Particle Swarm Optimization for Railways Rolling Stock Preventive Maintenance Scheduling
AUTHORS:
Tarek Aboueldah, Hanan Farag
KEYWORDS:
Railways Rolling Stock, Predictive Maintenance Scheduling Table, Multi Objective Optimization Problem, Breeding Particle Swarm Optimization
JOURNAL NAME:
American Journal of Operations Research,
Vol.11 No.5,
September
10,
2021
ABSTRACT: The goal of railway rolling stock maintenance and replacement approaches
is to reduce overall cost while increasing reliability which is multi objective
optimization problem and a proper predictive
maintenance scheduling table should be adequately designed. We propose
Breeding Particle Swarm Optimization (BPSO) model based on the concepts of
Breeding Swarm and Genetic Algorithm (GA)
operators to design this table. The practical experiment shows that our
model reduces cost while increasing reliability compared to other models
previously utilized.