Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm
Joint Authors
Wang, Jiaxi
Lin, Boliang
Jin, Junchen
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-06-29
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The shunting schedule of electric multiple units depot (SSED) is one of the essential plans for high-speed train maintenance activities.
This paper presents a 0-1 programming model to address the problem of determining an optimal SSED through automatic computing.
The objective of the model is to minimize the number of shunting movements and the constraints include track occupation conflicts, shunting routes conflicts, time durations of maintenance processes, and shunting running time.
An enhanced particle swarm optimization (EPSO) algorithm is proposed to solve the optimization problem.
Finally, an empirical study from Shanghai South EMU Depot is carried out to illustrate the model and EPSO algorithm.
The optimization results indicate that the proposed method is valid for the SSED problem and that the EPSO algorithm outperforms the traditional PSO algorithm on the aspect of optimality.
American Psychological Association (APA)
Wang, Jiaxi& Lin, Boliang& Jin, Junchen. 2016. Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099711
Modern Language Association (MLA)
Wang, Jiaxi…[et al.]. Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1099711
American Medical Association (AMA)
Wang, Jiaxi& Lin, Boliang& Jin, Junchen. Optimizing the Shunting Schedule of Electric Multiple Units Depot Using an Enhanced Particle Swarm Optimization Algorithm. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1099711
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099711