Sub-region Alopex Optimization Method with RSM for Design of Permanent Magnet Machines  

作　　者：Xiaoyu Liu Weinong Fu 

机构地区：[1]Electrical Engineering Department,The Hong Kong Polytechnic University,Hong Kong

出　　处：《CES Transactions on Electrical Machines and Systems》2018年第2期207-210,共4页中国电工技术学会电机与系统学报（英文）

摘　　要：Based on an Alopex optimization algorithm and a response surface model(RSM),a hybrid sub-region methodology is presented to solve the optimal design problems of permanent magnet(PM)machines.The Alopex optimization method is processed both in subspace and in global solution space.In order to decrease the computing time,a multi quadric radial basis function(MQRBF)is embedded in the optimization.The proposed method speeds up the convergence rate while keeps the accuracy of the solution.A numerical experiment is given to validate the efficiency and effectiveness of the method.

关 键 词：Alopex algorithm finite element method multi quadric radial basis function optimization method radial basis function. 

分 类 号：O17[理学—数学]