Research on Marine Port Logistics Transportation System Based on Ant Colony Algorithm

Abstract

Kang, L., 2020. Research on marine port logistics transportation system based on ant colony 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. 64-67. Coconut Creek (Florida), ISSN 0749-0208.The quality of maritime transportation service is directly related to the optimization results of port ship dispatching and is a key part of the port ship dispatching management system. Therefore, how to effectively improve the throughput of port logistics, further reduce the number of containers stored in ports, accelerate the turnover speed of ships, and effectively reduce the transportation cost of global logistics are facing many challenges. In this paper, a “multi-ship, multi-field” vehicle scheduling model with a certain berthing time is established, and the port vehicle scheduling problem is treated as a “single resource and single target” workshop scheduling problem by using the principle of ant colony algorithm. To find an effective way to solve the non-linear optimization problem of the maximum runoff and minimum cost flow in the container transportation network, and to provide a more substantial reference basis for the unified decision-making and allocation of the port container transportation network system.