Performance Optimization Analysis of Artificial Intelligence System Based on Multi-Objective Genetic Algorithm

In the new century, the network is developing extremely rapidly, and artificial intelligence (AI) is also developing continuously. As an important method of AI optimization, Genetic algorithm (GA) has played an important role in promoting the development of AI technology. At the same time, the widespread application of AI technology has had an important impact on people's way of life. With the rapid development of AI today, various algorithms related to it emerge in an endless stream. GA is one of them. And because the problems that need to be solved in the field of AI are often complex, and the GA has high inverse transformation in this regard, the GA is widely used in the field of AI. As a search heuristic algorithm for solving optimization problems in the field of computer science and AI, fast non-dominated sorting GA with elite strategy (NSGA-II) is suitable for solving optimization problems with multiple objectives and multiple constraints. This paper discusses the application of multi-objective GA in AI optimization, introduces the application of multi-objective GA in AI, and analyzes the problem of solving global motion estimation through GA. Good impact of AI.