Research on Port Logistics Distribution Route Planning Based on Artificial Fish Swarm Algorithm
Fei Ouyang
Abstract
Ouyang, F., 2020. Research on port logistics distribution route planning based on artificial fish swarm algorithm. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 78-80. Coconut Creek (Florida), ISSN 0749-0208.As a sub-problem of the inventory routing problem, the transportation routing problem is one of the main problems to be solved in studying how to reduce the total cost of logistics. Through the establishment of a reasonable distribution path, it plays a very important role in the cost, speed and efficiency of the whole logistics transportation. Based on the concept of artificial fish swarm algorithm, combined with the characteristics of port logistics distribution process, this paper constructs an optimization model and uses artificial fish swarm algorithm to solve specific cases. Finally, Matlab 6.5 is used to program and the artificial fish swarm algorithm is verified, which proves the feasibility and effectiveness of the algorithm. The results show that the mathematical model and artificial fish swarm algorithm have certain theoretical guidance and reference value for solving the port logistics distribution path planning problem.