Comparative study of Cuckoo search optimization and differential evolution algorithm for design of microstrip fed microstrip patch antenna

Author

Suvrajit Manna;Udit Sharma;Malay Gangopadhyaya;Pinaki Mukherjee;Bhaskar Gupta;Rahul Ghose;Ayoshna Saha

Author_Institution

Electronics and Communication Engg. Dept, Institute of Engineering and Management, Saltlake Kolkata, India

fYear

2015

Firstpage

1

Lastpage

7

Abstract

Microstrip line feed Microstrip Antenna (MSA) geometrical design parameters are Patch Width, Inset Feed Position and Patch length. Cuckoo Search algorithm (CS) is a recent optimization algorithm creating its application in the electromagnetic community for evolving the design parameters of microstrip antenna. Cuckoo Search algorithm (CS) has been employed in this paper to calculate the design parameters of the microstrip line feed microstrip antenna for a reaspective target frequencies and return loss. Same investigation is made for different microwave frequencies (1-18 GHz) and at dielectric constant 2.4. Simulations have been done using IE3D software. The results suggests Cuckoo search algorithm outperforms Differential Evolution (DE)in terms of quality of solution and convergence speed.

Keywords

"Microstrip antennas","Microstrip","Feeds","Resonant frequency","Algorithm design and analysis","Patch antennas","Optimization"

Publisher

ieee

Conference_Titel

Computing and Communication (IEMCON), 2015 International Conference and Workshop on

Type

conf

DOI

10.1109/IEMCON.2015.7344439

Filename

7344439