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International Journal of Antennas and Propagation
Volume 2015 (2015), Article ID 495879, 7 pages
http://dx.doi.org/10.1155/2015/495879
Research Article

An Opportunistic Array Beamforming Technique Based on Binary Multiobjective Wind Driven Optimization Method

1Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2College of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China
3Centre for Communication Systems, Durham University, Durham DH1 3LE, UK

Received 10 May 2015; Revised 1 August 2015; Accepted 19 August 2015

Academic Editor: Stefano Selleri

Copyright © 2015 Zhenkai Zhang 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.

Linked References

  1. D. Jenn, Y. Loke, T. C. H. Matthew, Y. E. Choon, O. C. Siang, and Y. S. Yam, “Distributed phased arrays and wireless beamforming networks,” International Journal of Distributed Sensor Networks, vol. 5, no. 4, pp. 283–302, 2009. View at Publisher · View at Google Scholar · View at Scopus
  2. W.-J. Long, D. Ben, M.-H. Pan, X.-R. Shu, Y.-M. Han, and J.-B. Pan, “Opportunistic Digital Array Radar and its technical characteristic analysis,” in Proceedings of the IET International Radar Conference, pp. 1–4, Guilin, China, April 2009.
  3. S. Gong, W. Long, H. Huang, D. Ben, and M. Pan, “Polyphase orthogonal sequences design for opportunistic array radar via HGA,” Journal of Systems Engineering and Electronics, vol. 24, no. 1, pp. 60–67, 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. K. Sindhya, K. Miettinen, and K. Deb, “A hybrid framework for evolutionary multi-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 17, no. 4, pp. 495–511, 2013. View at Publisher · View at Google Scholar · View at Scopus
  5. B. Xue, M. Zhang, and W. N. Browne, “Particle swarm optimization for feature selection in classification: a multi-objective approach,” IEEE Transactions on Cybernetics, vol. 43, no. 6, pp. 1656–1671, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. S. Ganguly, “Multi-objective planning for reactive power compensation of radial distribution networks with unified power quality conditioner allocation using particle swarm optimization,” IEEE Transactions on Power Systems, vol. 29, no. 4, pp. 1801–1810, 2014. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Lu, D. Ireland, and A. Lewis, “Multi-objective optimization in high frequency electromagnetics—an effective technique for smart mobile terminal antenna (SMTA) design,” IEEE Transactions on Magnetics, vol. 45, no. 3, pp. 1072–1075, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. A. Soroudi and M. Afrasiab, “Binary PSO-based dynamic multi-objective model for distributed generation planning under uncertainty,” IET Renewable Power Generation, vol. 6, no. 2, pp. 67–78, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. Z. Bayraktar, M. Komurcu, J. A. Bossard, and D. H. Werner, “The wind driven optimization technique and its application in electromagnetics,” IEEE Transactions on Antennas and Propagation, vol. 61, no. 5, pp. 2745–2757, 2013. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  10. X. Li, L. D. Li, and X. Yu, “Power generation loading optimization using a multi-objective constraint-handling method via PSO algorithm,” in Proceddings of the 6th IEEE International Conference on Industrial Informatics (IEEE INDIN '08), pp. 1632–1637, Daejeon, korea, July 2008. View at Publisher · View at Google Scholar · View at Scopus
  11. K. Sindhya, K. Miettinen, and K. Deb, “A hybrid framework for evolutionary multi-objective optimization,” IEEE Transactions on Evolutionary Computation, vol. 17, no. 4, pp. 495–511, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. D. Ju-Long, “Control problem of grey systems,” Systems & Control Letters, vol. 1, no. 5, pp. 288–294, 1982. View at Publisher · View at Google Scholar · View at MathSciNet
  13. H.-F. Ke, S.-F. Liu, Y.-G. Chen, and Z.-G. Fang, “New solution algorithm for multiple objective programming model based on grey relational degree,” Systems Engineering and Electronics, vol. 32, no. 3, pp. 544–547, 2010. View at Google Scholar · View at Scopus