摘要：Cold chain logistics consumes a lot of energy,and the whole process of distribution will generate greenhouse gases,which will aggravate the greenhouse effect.In order to reduce C02 emissions as much as possible while saving costs,this paper proposes a new distribution route optimization model based on multi-objective for cold chain logistics from a low-carbon perspective.Firstly,we analyze the own characteristics and carbon tax mechanism of cold chain logistics,then study the optimal carbon tax collection principle.At the same time,a low-carbon cold chain logistics distribution model based on multi-objective is constructed considering penalty cost,carbon emission cost,distribution cost,cargo damage cost and refrigeration cost.Secondly,a new algorithm is proposed for solving low-carbon cold chain distribution route problem.The basic idea of traditional genetic algorithm is studied,adaptive crossover strategy and adaptive mutation strategy are introduced on this basis.Moreover,the traditional genetic algorithm is improved,and it is used to solve the proposed model.The improved genetic algorithm can not only increase the diversity of population,but also enhance the search performance of algorithm.Finally,simulation experiments are carried out by actual cases to verify the effectiveness and accuracy of our proposed model and solution.
