A Surrogate-based Optimization Algorithm with Local Search

In 5th generation (5G) network, the optimized design of high-performance antenna has been an important and complicated issue. In this paper, to further improve the performance of surrogate-based global optimization algorithms (EGO) for 'black-book' problem, a neighborhood field search stra...

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Vydané v:	2018 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN) s. 1 - 7
Hlavní autori:	Yu, Mingyuan, Qu, Shaocheng, Wu, Zhou
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.12.2018
Predmet:	Antenna design Antennas Effective global optimization Linear programming Local search Noise measurement Optimization Prediction algorithms Sociology Statistics Surrogate model
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