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Layout optimization method for magnetic circuit using multistep utilization of genetic algorithm combined with design space reduction
Authors:Yoshifumi Okamoto  Yusuke Tominaga  Shuji Sato
Affiliation:Utsunomiya University, Japan
Abstract:Layout optimization with ON/OFF information of magnetic material in finite elements is one of the most attractive tools in the initial conceptual and practical design of electrical machinery for engineers. Heuristic algorithms based on random search allow engineers to define general‐purpose objects. However, there are many iterations of finite element analysis, and it is difficult to achieve a practical solution without island and void distribution by using a direct search method, such as simulated annealing (SA), genetic algorithm (GA), and so on. This paper presents a layout optimization method based on GA. The proposed method can arrive at a practical solution by means of multistep utilization of the GA, and the convergence speed is considerably improved by using it in combination with reduction of the design space. © 2012 Wiley Periodicals, Inc. Electr Eng Jpn, 181(3): 19‐30, 2012; Published online in Wiley Online Library ( wileyonlinelibrary.com ). DOI 10.1002/eej.22290
Keywords:layout optimization  integer programming  multistep genetic  algorithm  reduction of design space  finite element method
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