Application of Artificial Intelligence Technology in International Trade Finance

Abstract

Artificial intelligence technology is a new method proposed by people inspired by the biological evolution mechanism and some natural phenomena. Because it can well solve the modeling and optimization problems of complex systems, it has received extensive attention and applications in various fields. As the scale, quantity, and scope of international trade continue to expand, the complexity and uncertainty of trade increase, so artificial intelligence is more widely used in international trade. The purpose of this article is the application of artificial intelligence technology in international trade finance. Aiming at the deficiencies of Artificial Bee Colony (ABC), this paper proposes two types of improvement strategies: In order to improve the convergence accuracy and operational stability of ABC, this paper proposes an improved artificial bee colony algorithm, and also proposed a hybrid artificial bee colony algorithm with predictive selection ability, this paper tested it through 23 benchmark optimization problems The simulation results show that the improved algorithm has a good global search capability and convergence speed, so that it can play an important role in the healthy development of China’s international trade and has practical significance.