@inproceedings{0fecffa722c24a0aaab19b4b407b2ad7,
title = "Multi-objective surrogate-Assisted optimization applied to patch antenna design",
abstract = "In this paper, we present a multi-objective optimization technique for designing a patch antenna on a finite ground plane by employing a surrogate model which is formulated by utilizing various regression and model selection techniques. The method presented enables simultaneous training and optimization of the surrogate model with few initial samples required. The techniques used enable faster convergence of the Pareto set when compared to a traditional multi-objective optimization scheme.",
author = "Easum, {John A.} and Jogender Nagar and Werner, {Douglas Henry}",
year = "2017",
month = oct,
day = "18",
doi = "10.1109/APUSNCURSINRSM.2017.8072212",
language = "English (US)",
series = "2017 IEEE Antennas and Propagation Society International Symposium, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "339--340",
booktitle = "2017 IEEE Antennas and Propagation Society International Symposium, Proceedings",
address = "United States",
note = "2017 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2017 ; Conference date: 09-07-2017 Through 14-07-2017",
}