Authors: Zhu Liu; Sanyou Zeng; Hui Li; Steven Gao; Zhengjun Li
Addresses: 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
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.
Keywords: evolutionary algorithms; dynamic multi-objective optimisation; wide-beam antenna; antenna design; biogeography-based optimisation; BBO; differential evolution.
International Journal of Computer Applications in Technology, 2013 Vol.46 No.4, pp.376 - 382
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 21 Apr 2013 *