Title :
Scheduling Optimization Model and Algorithm Design for Two-Way Marshalling Train
Author :
Yao Qingyang;Yuan Xiaoyun
Author_Institution :
Jiangxi Modern Polytech. Coll., Nanchang, China
Abstract :
Train operation adjustment is a kind of real-time multi-objective large scale combination optimization problem with multi-restriction. A novel immune genetic algorithm based on artificial immune algorithm and genetic algorithm is put forward. Then scheduling optimization model for two-way marshalling train is proposed, which is solved by the proposed immune genetic algorithm. Finally, an instance based on the two way marshalling train is constructed. The simulation results show the feasibility of the model and the algorithm.
Keywords :
"Genetic algorithms","Immune system","Optimization","Scheduling","Rail transportation","Schedules","Sociology"
Conference_Titel :
Intelligent Transportation, Big Data and Smart City (ICITBS), 2015 International Conference on
DOI :
10.1109/ICITBS.2015.178