[b][align=center]The Application of a New Global Optimization Algorithm in Linear Induction Motor Optimum Design JIA Hong-xin, YE Yun-yue, LIN Rui-guang (Zhejiang University, Hangzhou 310027, China)[/align][/b] Abstract: This paper introduces a new global optimization algorithm—the Domain Elimination Algorithm (DEA)—into the optimization design of a motor. Considering the specific characteristics of motor optimization problems, a hybrid penalty function method and a modified Powell method are proposed for local optimization. Applying this algorithm to the optimization design of a linear motor significantly improves its performance indicators and exhibits fast convergence speed. Keywords: Domain Elimination Algorithm; Global Optimization; Linear Induction Motor The optimization project is used in the design of a linear induction motor. The target value is satisfied and can be available in a short time. Keywords: global optimization; domain elimination algorithm; linear induction motor 1 Introduction Generally, the motor optimization problem can be reduced to a general nonlinear programming problem, finding a set of n-dimensional variable vectors x such that the objective function is minimized. [b][align=center]For more details, please click: Application of a Novel Global Optimization Algorithm in the Optimization Design of Linear Motors[/align][/b]