Genetic algorithm optimization research based on simulated annealing

As a kind of mature algorithm, genetic algorithm has been widely used in the field of Artificial intelligence and has played an important role in promoting the development of artificial intelligence technology. This paper analyzes the principle and characteristics of genetic algorithm and introduces an improved algorithm combining with simulated annealing algorithm and genetic algorithm. As an example of solving the TSP problem, this paper analyzes the advantages of the improved algorithm. We will discuss the development direction and prospect of genetic algorithm in the field of artificial intelligence.