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A Synthesis of Four-Branch Microwave Antenna by Evolution Algorithm and Orthogonal Experiment

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Advances in Computation and Intelligence (ISICA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6382))

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Abstract

In order to meet the design requirements of a wide bandwidth, wide beam four-branch microwave antenna, evolution algorithms and orthogonal experiment are combined for the design simulation of the microwave antenna design. The evolution algorithm is able to search the large space for the optimal solution, while the orthogonal experimental design can search local space further and refine it for even better solution. The former algorithm is executed parallelly, and the NEC2 software based on method of moments is used as numerical calculation method of electromagnetic field. The four-branch antenna which is designed by combining the method of the evolution algorithm with orthogonal experiment in this paper, performs excellent on pattern. This proves that this method can satisfy the design requirements.

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References

  1. Zeng, S.Y., Kang, L.S., Ding, L.X.: An Orthogonal Multi-objective Evolutionary Algorithm for Multi-objective Optimization Problems with Constraints. Evolutionary Computation 12(1), 77–98 (2004)

    Article  Google Scholar 

  2. Yang, Y., Zeng, S., Long, H., et al.: Automated Wire Antennas Design Using Dynamic Dominance Genetic Algorithm. In: Proceedings of the 2009 NASA/ESA Conference on Adaptive Hardware and Systems, pp. 257–262. IEEE Publisher, Los Alamitos (2009)

    Chapter  Google Scholar 

  3. Cai, Z., Zeng, S., Yang, Y., Kang, L.: Automated Antenna Design Using Normalized Steady State Genetic Algorithm. In: NASA/ESA Conference on Adaptive Hardware and Systems, pp. 125–132 (2008)

    Google Scholar 

  4. Chen, X., Ka-ma, H., Zhao, X.: A Study of Applying NEC and Non-Blocking Master-Slave Parallel Genetic Algorithms to Automated Antenna Design. Chinese Journal of Electronics 32(8), 1390–1392 (2004)

    Google Scholar 

  5. Zeng, S., Yang, Y., Shi, Y., Yang, X., Xiao, B., Gao, S., Yu, D., Yan, Z.: A micro niche evolutionary algorithm with lower-dimensional-search crossover for optimisation problems with constraints. International Journal of Bio-Inspired Computation 1(3), 177–185 (2009)

    Article  Google Scholar 

  6. Gao, S., Zeng, S., Xiao, B., Zhang, L., Shi, Y.: An Orthogonal Multi-objective Evolutionary Algorithm with Lower-dimensional Crossover. In: Proceedings of the 2009 Congress on Evolutionary Computatoin (CEC 2009), Norway, pp. 1959–1964 (2009)

    Google Scholar 

  7. Xu, J.-d., Zeng, S.-y., Wang, P., Yan, J.-f.: A Study of Encoding Mode in Automated Four-arm Branching Antenna Design. Microcomputer Information 32(7) (2007)

    Google Scholar 

  8. Lohn, J.D., Linden, D.S., Hornby, G.S., et al.: Evolutionary Design of an X-Band Antenna for NASA’s Space Technology 5 Mission. In: Proceedings of the 2003 NASA/Dod Conference on Evolvable Hardware, pp. 155–163 (2003)

    Google Scholar 

  9. Yu, D., Yan, Z., Zeng, S., Yang, X., Shi, Y., Gao, S., Xiao, B.: A Dynamic Evolutionary Algorithm and Its Application in Automated Antenna Design. In: Proceedings of the 2009 World Summit on Genetic and Evolutionary Computation, Shanghai, China, pp. 929–932 (2009)

    Google Scholar 

  10. Hornby, G.S., Globus, A., Linden, D.S., Lohn, J.D.: Automated Antenna Design with Evolutionary Algorithms. In: AIAA Space 2006, San Jose, California, pp. 19–21 (2006)

    Google Scholar 

  11. Hou, W.-n., Shao, J.-x.: Application of Ansoft HFSS in teaching experiment of antenna. Digital communication, 87–89 (2009)

    Google Scholar 

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Guo, J., Zou, J., Wang, Y., Zhao, X., Yu, L. (2010). A Synthesis of Four-Branch Microwave Antenna by Evolution Algorithm and Orthogonal Experiment. In: Cai, Z., Hu, C., Kang, Z., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2010. Lecture Notes in Computer Science, vol 6382. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16493-4_49

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  • DOI: https://doi.org/10.1007/978-3-642-16493-4_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16492-7

  • Online ISBN: 978-3-642-16493-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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