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Yagi-Uda Antenna Design Using Differential Evolution

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Computational Intelligence and Intelligent Systems (ISICA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 874))

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Abstract

Differential evolution (DE) is an efficient optimization technique, which has been applied to solve various engineering optimization problems. In this paper, DE is used to optimize the element spacing and lengths of Yagi-Uda antennas. An internal system with interactive simulation is developed based on C++ and CST Microwave Studio. To verify the performance our approach, the Yagi-Uda antenna for 60 GHz communications is designed in the experiments. Simulation results show the effectiveness of our approach.

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Acknowledgement

This work was supported by the Science and Technology Research Project of Jiangxi Provincial Education Department (Grant No. GJJ151115), the Distinguished Young Talents Plan of Jiangxi Province (Grant No. 20171BCB23075), and the Natural Science Foundation of Jiangxi Province (Grant No. 20171BAB202035).

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Authors and Affiliations

  1. School of Information Engineering, Nanchang Institute of Technology, Nanchang, 330099, China

    Hai Zhang, Hui Wang & Cong Wang

  2. Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing, Nanchang Institute of Technology, Nanchang, 330099, China

    Hai Zhang & Hui Wang

Authors
  1. Hai Zhang
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  2. Hui Wang
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  3. Cong Wang
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Corresponding author

Correspondence to Hui Wang .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. Jiangxi University of Science and Technology, Ganzhou, Jiangxi, China

    Wei Li

  3. Chemical and Petroleum Engineering, University of Calgary, Calgary, Alberta, Canada

    Zhangxing Chen

  4. School of Computer Science and Engineering, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

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Zhang, H., Wang, H., Wang, C. (2018). Yagi-Uda Antenna Design Using Differential Evolution. In: Li, K., Li, W., Chen, Z., Liu, Y. (eds) Computational Intelligence and Intelligent Systems. ISICA 2017. Communications in Computer and Information Science, vol 874. Springer, Singapore. https://doi.org/10.1007/978-981-13-1651-7_38

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  • DOI: https://doi.org/10.1007/978-981-13-1651-7_38

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1650-0

  • Online ISBN: 978-981-13-1651-7

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