TY - GEN
T1 - Review of the Application of Intelligent Optimization Algorithm for Design of Novel Electric Machines
AU - Yanzhe, Shang
AU - Deliang, Liang
AU - Shaofeng, Jia
AU - Yating, Luo
AU - Hao, Wang
N1 - Publisher Copyright:
© 2021, Beijing Oriental Sun Cult. Comm. CO Ltd.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Intelligent optimization algorithm
KW - Machine design
KW - Novel machine
KW - Review
UR - https://www.scopus.com/pages/publications/85105935005
U2 - 10.1007/978-981-33-6609-1_36
DO - 10.1007/978-981-33-6609-1_36
M3 - 会议稿件
AN - SCOPUS:85105935005
SN - 9789813366084
T3 - Lecture Notes in Electrical Engineering
SP - 409
EP - 419
BT - The Proceedings of the 9th Frontier Academic Forum of Electrical Engineering
A2 - Chen, Weijiang
A2 - Yang, Qingxin
A2 - Wang, Laili
A2 - Liu, Dingxin
A2 - Han, Xiaogang
A2 - Meng, Guodong
PB - Springer Science and Business Media Deutschland GmbH
T2 - 9th Frontier Academic Forum of Electrical Engineering, FAFEE 2020
Y2 - 25 August 2020 through 28 August 2020
ER -