A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks
Growing competition in the world enforces the need for an efficient design of transportation networks. Furthermore, a competitive transportation network should also be eco-friendly. As road transportation is responsible for the largest quantities of CO<inline-formula><math xmlns="http:...
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doaj-8e620a9b3d504644b5c763499e569b642021-06-01T00:01:21ZengMDPI AGApplied Sciences2076-34172021-05-01114467446710.3390/app11104467A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete NetworksMustapha Oudani0TICLab, ESIN, International Univesity of Rabat, Rabat 11103, MoroccoGrowing competition in the world enforces the need for an efficient design of transportation networks. Furthermore, a competitive transportation network should also be eco-friendly. As road transportation is responsible for the largest quantities of CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> emissions, Intermodal Transportation (IT) might be a potential alternative. From this perspective, intermodal terminals location is a cornerstone for building a sustainable transportation network. The purpose of this paper is to study and efficiently solve the Intermodal Terminal Location Problem on incomplete networks. We model this problem as a mixed integer linear program and develop a simulated annealing algorithm to tackle medium and large instances. The computational results show that the obtained solutions using simulated annealing are competitive and close to the exact solutions found by CPLEX solver for small and medium instances. The same developed algorithm outperforms the best found solutions from the literature using heuristics for larger instances.https://www.mdpi.com/2076-3417/11/10/4467terminal locationintermodal transportationsimulated annealingmixed integer programincomplete networks |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mustapha Oudani |
spellingShingle |
Mustapha Oudani A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks Applied Sciences terminal location intermodal transportation simulated annealing mixed integer program incomplete networks |
author_facet |
Mustapha Oudani |
author_sort |
Mustapha Oudani |
title |
A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks |
title_short |
A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks |
title_full |
A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks |
title_fullStr |
A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks |
title_full_unstemmed |
A Simulated Annealing Algorithm for Intermodal Transportation on Incomplete Networks |
title_sort |
simulated annealing algorithm for intermodal transportation on incomplete networks |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-05-01 |
description |
Growing competition in the world enforces the need for an efficient design of transportation networks. Furthermore, a competitive transportation network should also be eco-friendly. As road transportation is responsible for the largest quantities of CO<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mrow></mrow><mn>2</mn></msub></semantics></math></inline-formula> emissions, Intermodal Transportation (IT) might be a potential alternative. From this perspective, intermodal terminals location is a cornerstone for building a sustainable transportation network. The purpose of this paper is to study and efficiently solve the Intermodal Terminal Location Problem on incomplete networks. We model this problem as a mixed integer linear program and develop a simulated annealing algorithm to tackle medium and large instances. The computational results show that the obtained solutions using simulated annealing are competitive and close to the exact solutions found by CPLEX solver for small and medium instances. The same developed algorithm outperforms the best found solutions from the literature using heuristics for larger instances. |
topic |
terminal location intermodal transportation simulated annealing mixed integer program incomplete networks |
url |
https://www.mdpi.com/2076-3417/11/10/4467 |
work_keys_str_mv |
AT mustaphaoudani asimulatedannealingalgorithmforintermodaltransportationonincompletenetworks AT mustaphaoudani simulatedannealingalgorithmforintermodaltransportationonincompletenetworks |
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1721416015722577920 |