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International Journal of Antennas and Propagation
Volume 2014 (2014), Article ID 631820, 6 pages
http://dx.doi.org/10.1155/2014/631820
Research Article

An Improved Chaos Genetic Algorithm for T-Shaped MIMO Radar Antenna Array Optimization

School of Automation & Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received 10 June 2014; Revised 3 September 2014; Accepted 9 September 2014; Published 14 October 2014

Academic Editor: Miguel Ferrando Bataller

Copyright © 2014 Xin Fu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [5 citations]

The following is the list of published articles that have cited the current article.

  • Hao Gu, Zhongru Wu, Xiaofei Huang, and Jintao Song, “Zoning Modulus Inversion Method for Concrete Dams Based on Chaos Genetic Optimization Algorithm,” Mathematical Problems in Engineering, vol. 2015, pp. 1–9, 2015. View at Publisher · View at Google Scholar
  • Zhen-Jun Liu, and Di-Xiong Yang, “Research advances of chaos optimization algorithms for engineering global optimization,” Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics, vol. 33, no. 3, pp. 269–286, 2016. View at Publisher · View at Google Scholar
  • Sotirios K. Goudos, Christos Kalialakis, and Raj Mittra, “Evolutionary Algorithms Applied to Antennas and Propagation: A Review of State of the Art,” International Journal of Antennas and Propagation, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Jing Bian, Xin-guang Peng, Ying Wang, and Hai Zhang, “An Efficient Cost-Sensitive Feature Selection Using Chaos Genetic Algorithm for Class Imbalance Problem,” Mathematical Problems in Engineering, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Jiang Yi, Dong Jian, and Shi Zhenhong, “Pattern synthesis of MIMO radar based on chaotic differential evolution algorithm,” Optik, vol. 140, pp. 794–801, 2017. View at Publisher · View at Google Scholar