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首页> 外文期刊>Fresenius environmental bulletin >LOCATION AND PATH OPTIMIZATION OF GREEN COLDCHAIN LOGISTICS BASED ON IMPROVED GENETICALGORITHM FROM THE PERSPECTIVE OF LOW CARBONAND ENVIRONMENTAL PROTECTION
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LOCATION AND PATH OPTIMIZATION OF GREEN COLDCHAIN LOGISTICS BASED ON IMPROVED GENETICALGORITHM FROM THE PERSPECTIVE OF LOW CARBONAND ENVIRONMENTAL PROTECTION

机译：基于改进基因算法的绿色冰川物流的位置与路径优化从低碳环保视角下的基础

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摘要

Aiming at the distribution efficiency and cost of cold chain logistics of fresh products, a solution to the location-path optimization problem of green cold chain logistics using an improved genetic algo- rithm from the perspective of low-carbon environ-mental protection is proposed. First, considering transportation costs, fixed costs, refrigeration costs, and time penalty costs, increase carbon emission costs and cargo damage costs to build a cold chain logistics model. Then, combining the specific model of the optimization problem to improve the genetic algorithm, including the coding method, genetic op- erator and fitness function, etc., the linear adaptive cross-mutation strategy is introduced to dynamically djust the genetic operator. Finally, the improved ge- netic algorithm is used to solve the cold chain logis- tics optimization problem to effectively reduce car- bon emissions and cost in the cold chain distribution process. Using actual cold chain logistics and distri- bution data, the proposed method is verified basedon the Matlab platform. The results show that com- pared with other methods, the proposed method ac- celerates the convergence speed, reduces the distri- bution cost, and realizes a low-carbon economy.
机译：旨在提出从低碳环境保护视角下采用改进的遗传算法对绿色冷链物流定位路径优化问题的分配效率和成本。首先，考虑运输成本，固定成本，制冷成本和时间罚款，提高碳排放成本和货物损害成本，以建立冷链物流模型。然后，将优化问题的特定模型组合以改善遗传算法，包括编码方法，遗传操作措施和健身功能等，引入线性自适应交叉突变策略以动态解释遗传操作员。最后，改进的电路网算法用于解决冷链标志优化问题，以有效地降低冷链分布过程中的送货发射和成本。使用实际的冷链物流和分布式数据，所提出的方法已验证MATLAB平台。结果表明，与其他方法相比，所提出的方法可以进行收敛速度，降低了分配成本，实现了低碳经济性。

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