Research on Cold Chain Distribution Path Optimization Based on Improved Genetic Algorithm

Aiming at the path optimization, the initial solution quality of genetic algorithm is low, easy to fall into the local optimal solution and other problems, the advantages and disadvantages of genetic algorithm and ant colony algorithm are comprehensively analyzed, and the two algorithms are improved and fused into the GA-ACO hybrid algorithm in this paper. Considering the components of the total cost of distribution, we establish a model with the objective function of minimizing the total cost, and run the three algorithms through MATLAB software to solve the problem, and the comparison results show that the GA-ACO hybrid algorithm is better in the convergence speed and total cost of distribution, and at the same time, we validate the feasibility of the model and the algorithm.