A Methodology Based on Quantum Evolutionary Algorithm for Topology Optimization of Electromagnetic Devices

作     者：Li, Yilun Yang, Shiyou Ren, Zhuoxiang 

作者机构：Zhejiang Univ Coll Elect Engn Hangzhou 310027 Zhejiang Peoples R China Sorbonne Univ UR2 L2E F-75005 Paris France 

出 版 物：《IEEE TRANSACTIONS ON MAGNETICS》 (IEEE磁学汇刊)

年 卷 期：2019年第55卷第6期

页      面：1-4页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0702[理学-物理学] 

基　　金：National Natural Science Foundation of China 

主　　题：Quantum evolutionary algorithm redistribute mechanism topology optimization (TO) 

摘      要：Stochastic algorithms are powerful global optimizers in topology optimizations (TOs). However, the low convergence speed and high computational cost, due to the large dimensionality of a TO problem, of such an approach are still two open issues to be addressed. To address these two issues, a TO methodology based on a modified quantum evolutionary algorithm is proposed. In the proposed methodology, an adaptive updating mechanism for the rotation gate is introduced to balance the exploration and exploitation searches;and a redistribution mechanism of design variables is developed to reduce the computational cost of the algorithm. The numerical results as reported validate the effectiveness and feasibility of the proposed methodology and demonstrate its advantages over a traditional ON/OFF method and its ancestor.