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A Survey of Optimal Design of Antenna (Array) by Evolutionary Computing Methods

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Neural Computing for Advanced Applications (NCAA 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1638))

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Abstract

To satisfy the increasing requirements of big data transmission, mutual interference and wide band, the optimal design of antenna and antenna array has drawn great interests and attentions of researchers. This paper summarizes and classifies state-of-the-art optimal antenna designs by using evolutionary computing (EC) methods. Antenna designs are classified based on three aspects. First, based on array type, they are divided into single antenna design, linear array design and planar array design. Second, based on the number of optimization objectives, they are divided into single objective, bi-objective, and three objective methods. Third, approaches are divided based on real world scenarios. Furthermore, a benchmark is built for the designs of linear antenna array and planar antenna array. Such benchmark can be used as baseline to assist researchers to verify or create more powerful EC methods. Simulation results show that the benchmark is scalable and reliable for testing the performance of EC methods.

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Acknowledgments

This paper was supported in part by the Supported by the National Key Research and Development Program of China (2022YFE0198900, 2021YFF0500903), and the National Natural Science Foundation of China (52178271, 61901301), and in part by the Tian** Higher Education Creative Team Funds Program.

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Authors and Affiliations

  1. Tian** Key Laboratory of Wireless Mobile Communications and Power Transmission, Tian** Normal University, Tian**, 300387, China

    **n Zhang

  2. College of Automation, Chongqing University, Chongqing, 400044, China

    Zhou Wu

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  1. **n Zhang
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  2. Zhou Wu
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Correspondence to Zhou Wu .

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Editors and Affiliations

  1. Harbin Institute of Technology, Shenzhen, China

    Haijun Zhang

  2. University of **an, **an, China

    Yuehui Chen

  3. Shenzhen University, Shenzhen, China

    **anghua Chu

  4. Hefei University of Technology, Hefei, China

    Zhao Zhang

  5. South China Normal University, Guangzhou, China

    Tianyong Hao

  6. Chongqing University, Chongqing, China

    Zhou Wu

  7. Western University, London, ON, Canada

    Yimin Yang

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Zhang, X., Wu, Z. (2022). A Survey of Optimal Design of Antenna (Array) by Evolutionary Computing Methods. In: Zhang, H., et al. Neural Computing for Advanced Applications. NCAA 2022. Communications in Computer and Information Science, vol 1638. Springer, Singapore. https://doi.org/10.1007/978-981-19-6135-9_25

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  • DOI: https://doi.org/10.1007/978-981-19-6135-9_25

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