Review of the Application of Intelligent Optimization Algorithm for Design of Novel Electric Machines

Abstract

Compared with traditional optimization algorithm, intelligent optimization algorithm has many advantages, such as fast convergence speed, high precision and strong search effect in electric machine design, so it is favored by more and more researchers, and has attracted more academic research and engineering applications in recent years. In this paper, the introduction of the novel machines, the principle, the main application status and application prospect of intelligent optimization algorithm are discussed in detail, after comprehensively investigating the existing domestic and overseas literature. The application of the swarm intelligent algorithm, evolutionary optimization algorithm, surrogate-based optimization algorithm and other optimization algorithms in the single objective optimization and multi-objective optimization of the novel machine is comprehensively described and the future development direction of intelligent optimization algorithm is discussed.