Chen, M.; Su, J.; Cui, P., and Liu, Y., 2019. Research on an optimization model of marine industry strategy adjustment under complex ocean conditions based on the ant colony algorithm. In: Li, L.; Wan, X., and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research, Special Issue No. 98, pp. 251–254. Coconut Creek (Florida), ISSN 0749-0208.

The marine industry is facing numerous endogenous and exogenous risks. It has become a problem that should be solved urgently to accurately identify risk factors and influences so as to promote the smooth development of the marine industry. In this paper, data related to an optimized model for strategic adjustment for 167 marine industries in Shanghai, Guangzhou, Qingdao, and other cities are adopted. An ant colony algorithm is used to analyze the risk factors of the marine industry. Studies show that the key risks that influence the marine industry include marine industry strategy risk, cross-border marine industry strategy risk, electronic customs clearance risk, logistics risk, and credit risk. Laws and regulations can indirectly affect power marketing by influencing online transactions, customs clearance, and other means.