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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Main Author: Mustapha Oudani
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/10/4467
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spelling 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
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