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Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm
Joint Authors
Wang, Haixing
Xiao, Guiping
Wei, Zhen
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-04
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Optimizing Route for Hazardous Materials Logistics (ORHML) belongs to a class of problems referred to as NP-Hard, and a strict constraint of it makes it harder to solve.
In order to dealing with ORHML, an improved hybrid ant colony algorithm (HACA) was devised.
To achieve the purpose of balancing risk and cost for route based on the principle of ACA that used to solve TSP, the improved HACA was designed.
Considering the capacity of road network and the maximum expected risk limits, a route optimization model to minimize the total cost is established based on network flow theory.
Improvement on route construction rule and pheromone updating rule was adopted on the basis of the former algorithm.
An example was analyzed to demonstrate the correctness of the application.
It is proved that improved HACA is efficient and feasible in solving ORHML.
American Psychological Association (APA)
Wang, Haixing& Xiao, Guiping& Wei, Zhen. 2013. Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm. Discrete Dynamics in Nature and Society،Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-495981
Modern Language Association (MLA)
Wang, Haixing…[et al.]. Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm. Discrete Dynamics in Nature and Society No. 2013 (2013), pp.1-6.
https://search.emarefa.net/detail/BIM-495981
American Medical Association (AMA)
Wang, Haixing& Xiao, Guiping& Wei, Zhen. Optimizing Route for Hazardous Materials Logistics Based on Hybrid Ant Colony Algorithm. Discrete Dynamics in Nature and Society. 2013. Vol. 2013, no. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-495981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-495981