A Simulated Annealing Approach for the Train Design Optimization Problem
Joint Authors
Romero, David
Alonso-Pecina, Federico
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The Train Design Optimization Problem regards making optimal decisions on the number and movement of locomotives and crews through a railway network, so as to satisfy requested pick-up and delivery of car blocks at stations.
In a mathematical programming formulation, the objective function to minimize is composed of the costs associated with the movement of locomotives and cars, the loading/unloading operations, the number of locomotives, and the crews’ return to their departure stations.
The constraints include upper bounds for number of car blocks per locomotive, number of car block swaps, and number of locomotives passing through railroad segments.
We propose here a heuristic method to solve this highly combinatorial problem in two steps.
The first one finds an initial, feasible solution by means of an ad hoc algorithm.
The second step uses the simulated annealing concept to improve the initial solution, followed by a procedure aiming to further reduce the number of needed locomotives.
We show that our results are competitive with those found in the literature.
American Psychological Association (APA)
Alonso-Pecina, Federico& Romero, David. 2017. A Simulated Annealing Approach for the Train Design Optimization Problem. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190480
Modern Language Association (MLA)
Alonso-Pecina, Federico& Romero, David. A Simulated Annealing Approach for the Train Design Optimization Problem. Mathematical Problems in Engineering No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1190480
American Medical Association (AMA)
Alonso-Pecina, Federico& Romero, David. A Simulated Annealing Approach for the Train Design Optimization Problem. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1190480
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190480