Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System
Joint Authors
Li, Jia
Liu, Yanqiu
Zhang, Ying
Xu, Shida
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Fourth party logistics (4PL) has been receiving great attention and studied by researchers.
This paper studies multipoint to multipoint 4PL system routing optimization with reliability constraints.
Objective factors which cause disturbances of transportation time are taken into consideration.
The mathematical model of the multipoint to multipoint multitask routing optimization in 4PL system with reliability constraints is set up.
To solve the model, a Messy Genetic Algorithm (Messy GA) with double arrays encoding method is designed.
The experimental result is compared with the Enumeration Algorithm (EA), and it shows that this algorithm can find the satisfactory solution and is a powerful optimization method for solving the problem.
American Psychological Association (APA)
Li, Jia& Liu, Yanqiu& Zhang, Ying& Xu, Shida. 2015. Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1060507
Modern Language Association (MLA)
Li, Jia…[et al.]. Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-7.
https://search.emarefa.net/detail/BIM-1060507
American Medical Association (AMA)
Li, Jia& Liu, Yanqiu& Zhang, Ying& Xu, Shida. Algorithms for Routing Optimization in Multipoint to Multipoint 4PL System. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-7.
https://search.emarefa.net/detail/BIM-1060507
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060507
