西安电子科技大学学报（自然科学版）2018，Vol.45Issue(2)：129-134,165,7.DOI:10.3969/j.issn.1001-2400.2018.02.022
利用GEK代理模型的天线快速多目标优化设计
Expedited antenna multi-objective optimization method based on gradient-enhanced kriging surrogate model
摘要
Abstract
Based on classical optimization algorithms and electromagnetic simulations,traditional antenna optimization method is inefficient,especially when it is used to solve the complex antenna multi-objective optimization problem.With the introduction of the genetic operator,the paper proposes an efficient global optimization algorithm named the Multi-Gradient Descent Algorithm Hybrid with the Genetic Operator to alleviate the problem above.For the merits of quick establishment and reduced samples scale,the Gradient-Enhanced Kriging (GEK) model is invoked by the proposed algorithm as the surrogate of antenna electromagnetic analysis. A Novel broadband U HF monopole antenna enabled by anisotropic Ⅰ-shaped periodic structure cladding and a dual-band UHF antenna together with its anti-jamming array antenna reserved for the private airborne communication system are designed with the proposed optimization method.The necessary electromagnetic simulation time of the proposed method is 10.30% and that of the traditional optimization method is 18.96%,which verifies the merit of high efficiency.关键词
天线多目标优化/多梯度下降算法/遗传算子/代理模型/梯度增强型克里金模型Key words
antenna multi-objective optimization/mulit-gradient descent algorithm/genetic operator/surrogate model/gradient-enhanced Kriging model分类
信息技术与安全科学引用本文复制引用
王丹青,李萍..利用GEK代理模型的天线快速多目标优化设计[J].西安电子科技大学学报（自然科学版）,2018,45(2):129-134,165,7.基金项目
国家自然科学基金资助项目(61302051) （61302051）
