电波科学学报2017，Vol.32Issue(3)：273-278,6.DOI:10.13443/j.cjors.2017052601
一种基于Kriging模型和受限差分进化的电磁结构快速优化算法
An efficient method for electromagnetic structure optimization based on Kriging and constrained differential evolution
摘要
Abstract
Evolution algorithm (EA) is widely used for the optimization of various electromagnetic (EM) structures,however,its efficiency is generally low because of the random search in parameter space and numerous simulation trials.To address this problem,an efficient EM structure optimization algorithm which combines constrained differential evolution (DE) with Kriging model is proposed in this paper.According to reference designs,a tube space is first established by the algorithm,the area of evolution is restricted in this tube space by parameter transformation.By learning the samples in the tube and their simulation data,Kriging model replaces the EM solver to predict the responses of each individual after evolution.Comparing with the entire parameter space,the area of DE searching and Kriging learning is significantly reduced,therefore,the optimization efficiency is promoted.The proposed algorithm is validated bythe optimization of a directional waveguide coupler,and it outperforms other existing algorithms in the quality of the solution and the convergence rate.关键词
电磁结构/优化算法/Kriging/受限差分进化/波导定向耦合器Key words
electromagnetic structure/optimization/kriging/constrained differential evolution/waveguide directional coupler分类
信息技术与安全科学引用本文复制引用
陈晓辉,郭欣欣,裴进明..一种基于Kriging模型和受限差分进化的电磁结构快速优化算法[J].电波科学学报,2017,32(3):273-278,6.基金项目
安徽省高等教育提升计划项目(TSKJ2014B05,TSKJ2015B19) （TSKJ2014B05,TSKJ2015B19）
