High-gain wide-band dual-circular-polarised antenna design using dynamic constrained multi-objective evolutionary algorithm Online publication date: Sat, 30-Aug-2014
by Xiaolei Liang; Sanyou Zeng
International Journal of Innovative Computing and Applications (IJICA), Vol. 6, No. 1, 2014
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.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook