Hazmats transportation network design model with emergency response under complex fuzzy environment
type: Item
instance of: scholarly article
title: Hazmats transportation network design model with emergency response under complex fuzzy environment
zbMATH Open document ID: 1299.90239
DOI: 10.1155/2013/517372
author: Jun Gang
author: Xiao Lei
author: Jiuping Xu
published in: Mathematical Problems in Engineering
publication date: 2014-11-24T00:00:00Z
review text: Summary: A bilevel optimization model for a hazardous materials transportation network design is presented which considers an emergency response teams location problem. On the upper level, the authority designs the transportation network to minimize total transportation risk. On the lower level, the carriers first choose their routes so that the total transportation cost is minimized. Then, the emergency response department locates their emergency service units so as to maximize the total weighted arc length covered. In contrast to prior studies, the uncertainty associated with transportation risk has been explicitly considered in the objective function of our mathematical model. Specifically, our research uses a complex fuzzy variable to model transportation risk. An improved artificial bee colony algorithm with priority-based encoding is also applied to search for the optimal solution to the bilevel model. Finally, the efficiency of the proposed model and algorithm is evaluated using a practical case and various computing attributes.
Mathematics Subject Classification ID: 90B90
Mathematics Subject Classification ID: 90B06
Mathematics Subject Classification ID: 90C70
Mathematics Subject Classification ID: 90B10
zbMATH DE Number: 6372442
Wikidata QID: Q59025993
describes a project that uses: ABC
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2013/517372
OpenAlex ID: W2042827153
cites work: Modeling of transport risk for hazardous materials
cites work: A heuristic algorithm for solving hazardous materials distribution problems.
cites work: Solving the hazmat transport network design problem
cites work: Designing emergency response networks for hazardous materials transportation
cites work: Accurate calculation of hazardous materials transport risks.
cites work: Fuzzy graphs modelling for hazmat telegeomonitoring
cites work: The concept of a linguistic variable and its application to approximate reasoning. I
cites work: Similarity relations and fuzzy orderings
cites work: Toward fuzzy optimization without mathematical ambiguity
cites work: Fuzzy-like multiple objective decision making
cites work: Designing a road network for hazardous materials shipments
cites work: Level-2 fuzzy sets and their usefulness in object-oriented database modelling.
cites work: Q5390335
cites work: An application of fuzzy sets in students' evaluation
cites work: Computational Difficulties of Bilevel Linear Programming
cites work: New Branch-and-Bound Rules for Linear Bilevel Programming
cites work: A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm
cites work: A comparative study of artificial bee colony algorithm
description: scientific article; zbMATH DE number 6372442