Title: High-gain wide-band dual-circular-polarised antenna design using dynamic constrained multi-objective evolutionary algorithm

Authors: Xiaolei Liang; Sanyou Zeng

Addresses: School of Computer Science, China University of Geosciences, China ' School of Computer Science, China University of Geosciences, China

Abstract: A high-gain wide-band dual-circular-polarised antenna is designed using a dynamic constrained multi-objective evolutionary algorithm (DCMOEA) in this paper. This antenna design is a constrained optimisation problem (COP). It has many constraints. Then we shall face two challenges to solve the problem. One is that it has huge local optima. The other is that feasible solutions are hard to find, or even no feasible solution exists in the problem. The DCMOEA in this paper has the potential capacity in solving such problem since multi-objective evolutionary algorithm can compromise conflict between global search and convergence rate. Then it is adopted to solve a COP after a COP is converted into an equivalent dynamic constrained multiobjective optimisation problem (DCMOP). The antenna design of NASAs TDRS-C communications satellite is employed to test this technique. A satisfactory antenna is found.

Keywords: multi-objective evolutionary algorithms; constrained optimisation problem; COP; antenna design; circular polarisation; communications satellites.

DOI: 10.1504/IJICA.2014.064217

International Journal of Innovative Computing and Applications, 2014 Vol.6 No.1, pp.25 - 32

Received: 29 May 2014
Accepted: 29 May 2014
Published online: 30 Aug 2014 *

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