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Multiobjective Location Routing Problem considering Uncertain Data after Disasters
Joint Authors
Huiqin, Chen
Chang, Keliang
Chen, Guijing
Zhou, Hong
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-23
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
The relief distributions after large disasters play an important role for rescue works.
After disasters there is a high degree of uncertainty, such as the demands of disaster points and the damage of paths.
The demands of affected points and the velocities between two points on the paths are uncertain in this article, and the robust optimization method is applied to deal with the uncertain parameters.
This paper proposes a nonlinear location routing problem with half-time windows and with three objectives.
The affected points can be visited more than one time.
The goals are the total costs of the transportation, the satisfaction rates of disaster nodes, and the path transport capacities which are denoted by vehicle velocities.
Finally, the genetic algorithm is applied to solve a number of numerical examples, and the results show that the genetic algorithm is very stable and effective for this problem.
American Psychological Association (APA)
Chang, Keliang& Zhou, Hong& Chen, Guijing& Huiqin, Chen. 2017. Multiobjective Location Routing Problem considering Uncertain Data after Disasters. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1151151
Modern Language Association (MLA)
Chang, Keliang…[et al.]. Multiobjective Location Routing Problem considering Uncertain Data after Disasters. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1151151
American Medical Association (AMA)
Chang, Keliang& Zhou, Hong& Chen, Guijing& Huiqin, Chen. Multiobjective Location Routing Problem considering Uncertain Data after Disasters. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1151151
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151151