Research on Seafood Logistics Path Based on Ant Colony Optimization Algorithm

Yang, Y.; Zhang, G., and Du, M., 2020. Research on seafood logistics path based on ant colony optimization algorithm. In: Yang, D.F. and Wang, H. (eds.), Recent Advances in Marine Geology and Environmental Oceanography. Journal of Coastal Research, Special Issue No. 108, pp. 211–214. Coconut Creek (Florida), ISSN 0749-0208.With the continuous improvement of human demand for marine resources, seafoods are increasingly enriching people's dining tables. Because of their special storage conditions, fresh seafoods need to reach the dealers through the logistics channel quickly before consumers' purchase. In the paper, according to the logistics process of fresh seafoods aimed at the loss degree of fresh seafoods and logistics-related important indicators, the ant colony optimization algorithm is used to take the normal loss of transportation as the weight, to integrate the loss factor of fresh seafood and logistics distribution indicators, and to determine the weight of the impact value of the distribution path. These factors are integrated into the ant colony algorithm for a pheromone update so that the best logistics path of seafoods can be obtained. Through the analysis of simulation experiments, it is proved that the proposed algorithm has the characteristics of lower logistics loss and moderate cost compared with other methods, which can provide the reference for the selection of logistics paths with the same demand.