Research on cold chain path optimisation model using genetic algorithm

This paper investigates the cold chain logistics distribution path optimization problem. Based on the generalized transportation cost (including fixed cost, transportation cost and penalty cost), a path optimization model containing time window constraints is developed. By applying genetic algorithm, coding solution is carried out. The effectiveness of the algorithm is verified by combining with practical cases. The results show that Genetic algorithms have excellent performance, the distribution path optimized by the algorithm can avoid the penalty cost of the product due to the failure of timely delivery, and also optimize the path to achieve the lowest total cost of distribution.