TY - EJOU AU - Wu, Daqing AU - Cui, Jiye AU - Li, Dan AU - Mansour, Romany Fouad TI - A New Route Optimization Approach of Fresh Agricultural Logistics Distribution T2 - Intelligent Automation \& Soft Computing PY - 2022 VL - 34 IS - 3 SN - 2326-005X AB - Under the fierce market competition and the demand of low-carbon economy, the freshness of fresh products directly determines the degree of customer satisfaction. Cold chain logistics companies must pay attention to the freshness and carbon emissions of fresh products to obtain better service development. In the cold chain logistics path optimization problem, considering the cost, product freshness and carbon emission environmental factors at the same time, based on the cost-benefit idea, a comprehensive cold chain vehicle routing problem optimization model is proposed to minimize the unit cost of product freshness and the carbon trading mechanism for calculating the cost of carbon emissions. The improved adaptive chaotic ant colony algorithm is used to perform calculation experiments on the model, and the feasibility and effectiveness of the model are analyzed through classic examples and actual cases, which proves the feasibility of the model and the effectiveness of the algorithm. This model enriches the logistics and distribution of cold chain optimization studies, and the research results supplement the impact of carbon prices on carbon emissions, emissions and customer satisfaction. Finally, there are some practical enlightenments for the provision of business management and government services. KW - Fresh product; vehicle routing problem; carbon emission; cold chain logistics DO - 10.32604/iasc.2022.028780