A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation

Aiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration. The objective of the model is to minimize not only transportation risk but also...

Full description

Saved in:
Bibliographic Details
Main Authors: Changxi Ma, Wei Hao, Ruichun He, Bahman Moghimi
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2018/2916391
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832558277187076096
author Changxi Ma
Wei Hao
Ruichun He
Bahman Moghimi
author_facet Changxi Ma
Wei Hao
Ruichun He
Bahman Moghimi
author_sort Changxi Ma
collection DOAJ
description Aiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration. The objective of the model is to minimize not only transportation risk but also transportation time, and a robust counterpart of the model is introduced through applying the Bertsimas-Sim robust optimization theory. Moreover, a fuzzy C-means clustering-particle swarm optimization (FCMC-PSO) algorithm is designed, and the FCMC algorithm is used to cluster the demand points. In addition the PSO algorithm with the adaptive archives grid is used to calculate the robust optimization route of hazmat transportation. Finally, the computational results show the multiobjective route robust optimization model with 3 centers and 20 demand points’ sample studied and FCMC-PSO algorithm for hazmat transportation can obtain different robustness Pareto solution sets. As a result, this study will provide basic theory support for hazmat transportation safeguarding.
format Article
id doaj-art-d54e83b665cd40eda5a482d79efe246b
institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-d54e83b665cd40eda5a482d79efe246b2025-02-03T01:32:52ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2018-01-01201810.1155/2018/29163912916391A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat TransportationChangxi Ma0Wei Hao1Ruichun He2Bahman Moghimi3School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, ChinaKey Laboratory of Road Traffic Engineering of the Ministry of Education, Changsha University of Science and Technology, Changsha, Hunan 410114, ChinaSchool of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, ChinaDepartment of Civil Engineering, City College of New York, NY 10031, USAAiming at route optimization problem of hazardous materials transportation in uncertain environment, this paper presents a multiobjective robust optimization model by taking robust control parameters into consideration. The objective of the model is to minimize not only transportation risk but also transportation time, and a robust counterpart of the model is introduced through applying the Bertsimas-Sim robust optimization theory. Moreover, a fuzzy C-means clustering-particle swarm optimization (FCMC-PSO) algorithm is designed, and the FCMC algorithm is used to cluster the demand points. In addition the PSO algorithm with the adaptive archives grid is used to calculate the robust optimization route of hazmat transportation. Finally, the computational results show the multiobjective route robust optimization model with 3 centers and 20 demand points’ sample studied and FCMC-PSO algorithm for hazmat transportation can obtain different robustness Pareto solution sets. As a result, this study will provide basic theory support for hazmat transportation safeguarding.http://dx.doi.org/10.1155/2018/2916391
spellingShingle Changxi Ma
Wei Hao
Ruichun He
Bahman Moghimi
A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
Discrete Dynamics in Nature and Society
title A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
title_full A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
title_fullStr A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
title_full_unstemmed A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
title_short A Multiobjective Route Robust Optimization Model and Algorithm for Hazmat Transportation
title_sort multiobjective route robust optimization model and algorithm for hazmat transportation
url http://dx.doi.org/10.1155/2018/2916391
work_keys_str_mv AT changxima amultiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT weihao amultiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT ruichunhe amultiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT bahmanmoghimi amultiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT changxima multiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT weihao multiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT ruichunhe multiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation
AT bahmanmoghimi multiobjectiverouterobustoptimizationmodelandalgorithmforhazmattransportation