Design of Antenna Rapid Optimization Platform Based on Intelligent Algorithms and Surrogate Models

摘要：

　　Optimizers in electromagnetic(EM)simulation software are facing challenges in optimization efficiency,supported optimization types and optimization results usability.Aiming to fill these gaps,a new antenna design exploration scheme is proposed,called Antenna Rapid Optimization Platform(AROP).The scheme adopts ANSOFT HFSS and MATLAB co-simulation method and provides a friendly graphical interface based on the antenna optimization process.State-of-the-art intelligent optimization algorithms and surrogate model methods are embedded,addressing efficient multi-objective antenna optimization problems and generating Pareto optimal solution sets.Design results show that the surrogate models assisted by evolutionary algorithms built into AROP can largely improve optimization capacity for highperformance antenna synthesis and deal with complex antenna designs with high-dimensional parameter space.

关键词： antenna design intelligent optimization algorithms surrogate models optimization simulation platform

作者: Fan Jin Jian Dong Meng Wang Shan Wang

作者单位: School of Software Changsha 410083,China School of Information Science and Engineering Central South University Changsha 410083,China

会议类型: 国际会议

会议名称: The 12th International Symposium Antennas, Propagation, and EM Theory(ISAPE 2018)?(第十二届天线、传播与电磁理论国际学术会议)

会议地点: 杭州

会议语种:英文

页码: 1-4

在线出版日期: 2018-12-03（万方平台首次上网日期，不代表论文的发表时间）