In addressing the optimization problem of cold chain logistics paths,the modeling approach and rele-vant theories of multi-agent systems are employed.Considering carbon emissions and soft time windows,along with fixed costs,transportation expenses,and cargo loss costs,a cold chain logistics distribution model is constructed to minimize the total logistics distribution cost.Furthermore,enhancements are made to the ant colony algorithm for sol-ving the model..The ant colony algorithm is improved to solve the model.Firstly,formulate ant state transition rules,update pheromones,and add additional pheromone quantities to the optimal path to find the globally optimal ant;Then,a variable neighborhood local search operation is inserted into the algorithm,causing the algorithm to jump out of the local optimum.Finally,an example analysis and comparison were conducted,and it was found that the improved ant colony algorithm in this paper saved 8.39％compared to the traditional ant colony algorithm in terms of total logistics delivery costs.This also verifies the effectiveness and practicality of the algorithm and model.
cold chain logisticspath optimizationmulti-agentcarbon emissionsimproved ant colony algo-rithm
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