Competitive binary multi-objective grey wolf optimizer for fast compact antenna topology optimization
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2100420.pdf
Reference46 articles.
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2. Balanis CA, 2016. Antenna Theory: Analysis and Design (4th Ed.). John Wiley & Sons, Hoboken, USA.
3. Bataineh M, Marler T, 2017. Neural network for regression problems with reduced training sets. Neur Netw, 95:1–9. https://doi.org/10.1016/j.neunet.2017.07.018
4. Bin F, Wang F, Chen S, et al., 2020. Pareto-optimal design of UHF antenna using modified non-dominated sorting genetic algorithm II. IET Microw Antenn Propag, 14(12):1404–1410. https://doi.org/10.1049/iet-map.2020.0121
5. Carvalho R, Saldanha RR, Gomes BN, et al., 2012. A multi-objective evolutionary algorithm based on decomposition for optimal design of Yagi-Uda antennas. IEEE Trans Magn, 48(2):803–806. https://doi.org/10.1109/tmag.2011.2174348
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