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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Bibliographic Details

Published in:	2018 IEEE Symposium on Product Compliance Engineering - Asia (ISPCE-CN) pp. 1 - 7
Main Authors:	Yu, Mingyuan, Qu, Shaocheng, Wu, Zhou
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2018
Subjects:	Antenna design Antennas Effective global optimization Linear programming Local search Noise measurement Optimization Prediction algorithms Sociology Statistics Surrogate model
Online Access:	Get full text
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