A New TS Algorithm for Solving Low-Carbon Logistics Vehicle Routing Problem with Split Deliveries by Backpack—From a Green Operation Perspective
In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliv...
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| Published in | International journal of environmental research and public health Vol. 15; no. 5; p. 949 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
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MDPI AG
10.05.2018
MDPI |
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| Online Access | Get full text |
| ISSN | 1660-4601 1661-7827 1660-4601 |
| DOI | 10.3390/ijerph15050949 |
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| Abstract | In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliveries was designed in which the customer demand can be split only by backpack. A double-objective mathematical model and the corresponding adaptive tabu search (TS) algorithm were constructed for solving this problem. By embedding the adaptive penalty mechanism, and adopting the random neighborhood selection strategy and reinitialization principle, the global optimization ability of the new algorithm was enhanced. Comparisons with the results in the literature show the effectiveness of the proposed algorithm. The proposed method can save the costs of low-carbon logistics and reduce carbon emissions, which is conducive to the sustainable development of low-carbon logistics. |
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| AbstractList | In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliveries was designed in which the customer demand can be split only by backpack. A double-objective mathematical model and the corresponding adaptive tabu search (TS) algorithm were constructed for solving this problem. By embedding the adaptive penalty mechanism, and adopting the random neighborhood selection strategy and reinitialization principle, the global optimization ability of the new algorithm was enhanced. Comparisons with the results in the literature show the effectiveness of the proposed algorithm. The proposed method can save the costs of low-carbon logistics and reduce carbon emissions, which is conducive to the sustainable development of low-carbon logistics. In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliveries was designed in which the customer demand can be split only by backpack. A double-objective mathematical model and the corresponding adaptive tabu search (TS) algorithm were constructed for solving this problem. By embedding the adaptive penalty mechanism, and adopting the random neighborhood selection strategy and reinitialization principle, the global optimization ability of the new algorithm was enhanced. Comparisons with the results in the literature show the effectiveness of the proposed algorithm. The proposed method can save the costs of low-carbon logistics and reduce carbon emissions, which is conducive to the sustainable development of low-carbon logistics.In order to promote the development of low-carbon logistics and economize logistics distribution costs, the vehicle routing problem with split deliveries by backpack is studied. With the help of the model of classical capacitated vehicle routing problem, in this study, a form of discrete split deliveries was designed in which the customer demand can be split only by backpack. A double-objective mathematical model and the corresponding adaptive tabu search (TS) algorithm were constructed for solving this problem. By embedding the adaptive penalty mechanism, and adopting the random neighborhood selection strategy and reinitialization principle, the global optimization ability of the new algorithm was enhanced. Comparisons with the results in the literature show the effectiveness of the proposed algorithm. The proposed method can save the costs of low-carbon logistics and reduce carbon emissions, which is conducive to the sustainable development of low-carbon logistics. |
| Author | Tsai, Sang-Bing Wang, Jiangtao Fu, Zhuo Xia, Yangkun |
| AuthorAffiliation | 2 Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China; jiangtao-w@foxmail.com 1 School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; jiaochyk166@163.com |
| AuthorAffiliation_xml | – name: 1 School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; jiaochyk166@163.com – name: 2 Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China; jiangtao-w@foxmail.com |
| Author_xml | – sequence: 1 givenname: Yangkun orcidid: 0000-0003-3212-5337 surname: Xia fullname: Xia, Yangkun – sequence: 2 givenname: Zhuo surname: Fu fullname: Fu, Zhuo – sequence: 3 givenname: Sang-Bing orcidid: 0000-0001-6988-5829 surname: Tsai fullname: Tsai, Sang-Bing – sequence: 4 givenname: Jiangtao surname: Wang fullname: Wang, Jiangtao |
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| Cites_doi | 10.1109/TPWRS.2014.2371474 10.3390/su9112052 10.3390/su9050683 10.1016/j.cor.2017.02.001 10.1287/trsc.1100.0363 10.1108/09600031211258138 10.1057/palgrave.jors.2601817 10.1007/s10479-012-1282-3 10.1016/j.tre.2016.01.014 10.1137/1.9781611973594 10.1016/j.cie.2015.05.034 10.1057/palgrave.jors.2602371 10.1007/s10732-008-9101-3 10.1016/j.tre.2013.03.006 10.1287/trsc.23.2.141 10.1016/j.jclepro.2017.12.142 10.1016/S0305-0548(03)00155-2 10.1016/j.ejor.2011.03.023 10.1111/itor.12250 10.1016/j.jclepro.2016.11.115 10.1016/j.tre.2017.04.011 10.3390/ijerph14080930 10.1371/journal.pone.0195457 10.3141/2378-13 10.1057/jors.2009.116 10.1016/j.ejor.2014.04.026 10.3390/ijerph111111081 10.1029/2005JD006820 10.1016/j.cie.2010.03.012 10.3390/su9050694 10.1016/j.cie.2012.11.007 10.1057/jors.2010.19 10.1080/01441647.2015.1137992 10.1142/S0217595907001565 10.1007/s10586-018-2635-8 10.1287/trsc.1040.0103 10.3390/su10020307 10.1007/s10586-018-1957-x 10.1299/jamdsm.1.217 |
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| Keywords | green economy tabu search vehicle routing problem low-carbon logistics split deliveries backpack |
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| SubjectTerms | Air Pollutants - economics Algorithms Backpacks Carbon Carbon - economics Carbon Footprint - economics China Climate change Distribution costs Electronic commerce Emissions Environmental policy Game theory Heuristic Humans Integer programming Intermodal transportation Logistics Models, Theoretical Network management systems Problem Solving Public health Residence Characteristics Routing Sustainable development Traffic-Related Pollution - economics Traffic-Related Pollution - prevention & control Transportation - economics Transportation - methods Vehicle Emissions - prevention & control Vehicles |
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| Title | A New TS Algorithm for Solving Low-Carbon Logistics Vehicle Routing Problem with Split Deliveries by Backpack—From a Green Operation Perspective |
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