Optimization and Simulation of Port logistics Decision-making System Based on Ant Colony Algorithm

Abstract

Jia, J.-Z., and Zeng, M., 2019. Optimization and simulation of port logistics decision-making system based on ant colony algorithm. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 778–782. Coconut Creek (Florida), ISSN 0749-0208.Under the general trend of economic globalization, the port bears an increasingly important economic exchange window between countries, but the port logistics capability has become an important part of hindering the development of the port. How to effectively arrange the operation process of the ship logistics, improving port transportation efficiency is necessary to improve economic efficiency and promote economic development. Therefore, this paper mainly analyzes the problems faced by port logistics at present, and proposes specific optimization measures based on ant colony algorithm. Through the establishment of a specific model of port financing decision-making system, the port logistics decision-making system is optimized and simulated. Finally, through the verification and analysis of the experimental results data, it is concluded that the prepared port logistics decision-making system can improve the operational efficiency and economy of port logistics.