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Low-carbon cold chain logistics using ribonucleic acid-ant colony optimization algorithm
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DOI：10.1016/j.jclepro.2019.05.306.png)
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摘要
En 中文
Low-carbon economy is an emerging and inevitable pathway toward sustainable development of cold chain logistics. Low-temperature transportation is the crucial link of cold chain logistics to low-carbon economy and the industry is known to have the higher energy consumption. Prior studies are lacking in involving the carbon emission cost in the optimization process. Route optimization of low temperature transportation is conducive to the low-carbon cold chain logistics. This study aims to introduce the low-carbon economy into the cold chain logistics. There are various costs needed to be considered in cold chain logistics, and a cold chain logistics route optimization model included the carbon emission cost was developed. Ribonucleic acid computing was combined with ant colony optimization to prevent the influence of unreasonable parameter selection on algorithm performance. This novel proposed approach was applied to solve the route optimization problem of a cold chain logistics firm located in the Xiong'an, China. The results showed this method reduced the overall cost of logistics and minimized the amount of carbon emissions. The finding shed the light on the low-carbon transformational development of cold chain logistics firms. (C) 2019 Elsevier Ltd. All rights reserved.
Keyword:
Cold chain logistics
Low carbon
Ribonucleic acid-ant colony optimization
Ribonucleic acid computing
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IF:
10
论文数:
4.7W
被引数:
36.8W
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