Title: Using Cartesian genetic programming to design wire antenna

Authors: Zhangyi Yu; Sanyou Zeng

Addresses: School of Computer Science, China University of Geosciences, Wuhan, 430074, China. ' School of Computer Science, China University of Geosciences, Wuhan, 430074, China

Abstract: This paper presents a new method which uses Cartesian genetic programming (CGP) in order to design wire antenna. Since Julian F. Miller proposed the method of CGP, the research and development of CGP mainly trends in the design of the circuit application in recent years; very few scholars have the related research of wire antenna design in this field. Therefore, the most important feature in this paper is that this is the first time to apply CGP which is originally used for circuit design to make wire antenna design. By numerical test experiments and comparison, we find that this method of wire antenna design is novel and the designed wire antenna also can meet the requirements. This method has the comparative advantages and it is intelligent (self-adaptive, self-organising, self-learning, self-healing, etc.) while it can greatly increase the system speed.

Keywords: Cartesian genetic programming; CGP; evolutionary algorithms; wire antennas; antenna design.

DOI: 10.1504/IJCAT.2012.047163

International Journal of Computer Applications in Technology, 2012 Vol.43 No.4, pp.372 - 377

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 31 May 2012 *

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