Design of wide-beam antenna using dynamic multi-objective BBO/DE

  • Authors:
  • Zhu Liu;Sanyou Zeng;Hui Li;Steven Gao;Zhengjun Li

  • Affiliations:
  • School of Computer Science, China University of Geosciences, 430074 Wuhan, Hubei, China;School of Computer Science, China University of Geosciences, 430074 Wuhan, Hubei, China;School of Computer Science, China University of Geosciences, 430074 Wuhan, Hubei, China;Surrey Space Centre, University of Surrey, Guildford, UK;China Academy of Space Technology, 710000 Xi'an, Shanxi, China

  • Venue:
  • International Journal of Computer Applications in Technology
  • Year:
  • 2013

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Abstract

Because the requirements of antennas get more and more complicated, an effective evolutionary algorithm for solving complex antenna problems is necessary. The hybrid biogeography-based optimisation with differential evolution BBO/DE and dynamic multi-objective technique are combined into dynamic multi-objective BBO/DE, which is aimed at improving the global search ability in solving antenna optimisation problem. We then used the effective algorithm to solve a challenging wide-beam antenna problem with beam width of 140 degrees. A small antenna with only seven wires, however, with 20 variables and 4,322 constraints, has been designed, and an acceptable one, which is satisfied in real application, has been obtained.