Title :
An adaptive optimization method using Kriging model and Latin hypercube design and its application to optimum design of PMLSM
Author :
Zhang, Yanli ; Yan, Bing ; Xie, Dexin ; Koh, Chang Seop
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
This paper presents a computationally efficient optimal design algorithm for electromagnetic devices by combining Kriging interpolation approximation of the objective function and genetic algorithm. In this method, the design space is successively reduced with the iteration, and Pareto-optimal sampling points are generated by using Latin hypercube design (LHD). The proposed algorithm is applied to the optimum design of permanent magnet linear synchronous motor (PMLSM) and the computational efficiency is investigated.
Keywords :
Pareto optimisation; electromagnetic devices; linear synchronous motors; permanent magnet motors; statistical analysis; Kriging interpolation approximation; Latin hypercube design; PMLSM; Pareto-optimal sampling points; adaptive optimization method; computational efficiency; electromagnetic devices; genetic algorithm; permanent magnet linear synchronous motor; Algorithm design and analysis; Approximation algorithms; Design methodology; Electromagnetic devices; Genetic algorithms; Hypercubes; Interpolation; Optimization methods; Sampling methods; Synchronous motors;
Conference_Titel :
Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-7059-4
DOI :
10.1109/CEFC.2010.5481388
