A Genetic Algorithm-Based Method for Optimizing the Distribution Path of Agricultural Products in Cold Chain

Aiming at the problems of large carbon emission and high vehicle transportation cost in the cold chain distribution process of agricultural products, an optimization method of cold chain distribution route of agricultural products based on genetic algorithm was proposed to reduce the transportation cost and improve the efficiency.Firstly, taking carbon emission cost and transportation cost as the objective function, carbon tax mechanism analysis was introduced, and demand, demand time and transportation time were considered to model the research problem.Then an improved genetic algorithm is proposed, which combines the traditional genetic algorithm with the multi-chromosome method, and uses the information updating strategy of ant colony algorithm to maintain the memorability of the population.The results show that this method can optimize the distribution route and reduce the distribution cost.