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A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption
Joint Authors
Wang, Zheng
Leng, Longlong
Wang, Shun
Li, Gongfa
Zhao, Yanwei
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-04
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
In response to violent market competition and demand for low-carbon economy, cold chain logistics companies have to pay attention to customer satisfaction and carbon emission for better development.
In this paper, a biobjective mathematical model is established for cold chain logistics network in consideration of economic, social, and environmental benefits; in other words, the total cost and distribution period of cold chain logistics are optimized, while the total cost consists of cargo damage cost, refrigeration cost of refrigeration equipment, transportation cost, fuel consumption cost, penalty cost of time window, and operation cost of distribution centres.
One multiobjective hyperheuristic optimization framework is proposed to address this multiobjective problem.
In the framework, four selection strategies and four acceptance criteria for solution set are proposed to improve the performance of the multiobjective hyperheuristic framework.
As known from a comparative study, the proposed algorithm had better overall performance than NSGA-II.
Furthermore, instances of cold chain logistics are modelled and solved, and the resulting Pareto solution set offers diverse options for a decision maker to select an appropriate cold chain logistics distribution network in the interest of the logistics company.
American Psychological Association (APA)
Wang, Zheng& Leng, Longlong& Wang, Shun& Li, Gongfa& Zhao, Yanwei. 2020. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1138835
Modern Language Association (MLA)
Wang, Zheng…[et al.]. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1138835
American Medical Association (AMA)
Wang, Zheng& Leng, Longlong& Wang, Shun& Li, Gongfa& Zhao, Yanwei. A Hyperheuristic Approach for Location-Routing Problem of Cold Chain Logistics considering Fuel Consumption. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1138835
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138835