With the rapid improvement of people’s life, the requirement amounts for aquatic product are also on the rise. However, it’s hard to protect about aquatic product quality from cold chain. The loss rate is 15% during aquatic-product circulation rot, leading to the serious loss of economic. Therefore, it is of great significance for distribution companies to improve their competitiveness. It depends on how to scientifically plan the distribution path, effectively control the logistics cost, and to make customers satisfaction.This paper analyzed cold chain logistics and the characteristics about the characteristics about aquatic-product cold chain logistics. Also this paper discussed the development status and the existing problems of aquatic products logistics. The cost in the process of cold chain logistics was analyzed. A multi-objective optimization model was established with the lowest cost and maximum customer satisfaction as the goals. The model was turned into a single-objective optimization problem according to power function. Given the Dalian City as case, the problem was solved by genetic algorithm through MATLAB programming. It shows that the results can not only meet the demand of customer satisfaction, but also reduce the cost of distribution. The effectiveness of the model and algorithm is verified.In this paper, a result of multi-benefit can be obtained through the cold chain logistics distribution model and the corresponding genetic algorithm. And it can provide the optimization ideas and methods for the improvement of the cold chain logistics network of aquatic products. |