RT Journal Article
ID 137a9bcd08b0c37c
A1 Patidar, Hemant
A1 Mahanti, G. K. 
A1 Muralidharan, R. 
T1 DESIGN OF THE YAGI-UDA ANTENNA USING QUANTUM PARTICLE SWARM OPTIMIZATION
JF Telecommunications and Radio Engineering
JO TRE
YR 2018
FD 2018-11-28
VO 77
IS 20
SP 1785
OP 1796
K1 Antenna
K1 FEKO
K1 quantum particle swarm optimization
K1 Yagi-Uda
AB This paper presents a technique using quantum particle swarm optimization (QPSO) algorithm for the optimization of the antenna length as well as the element spacing of the Yagi-
Uda antenna. Matlab based method of moment code is used to obtain the performance of different antenna designs generated by QPSO algorithm. Here three examples are considered to show the capabilities of the proposed technique using QPSO. In examples: directivity only, directivity and input impedance, and directivity, input impedance and peak side lobe level are considered for the objective purpose. Current distribution across the elements is calculated utilising the method of moments method that considers the presence of mutual coupling between neighbouring elements of the array. First of all, using the current excitations and the structure of the array, the radiated electric field, directivity along with necessary parameters are obtained. Then, the obtained results using QPSO are compared with the published results
by various optimization techniques, namely, particle swarm optimization (PSO), simulated annealing (SA), computational intelligence (CI), comprehensive learning particle swarm optimization (CLPSO), and biogeography based optimization (BBO). In addition to it, the results produced are compared with the results obtained using FEKO software also. Results obtained using simulation and FEKO show the bitterness of this proposed technique using QPSO algorithm for designing the Yagi-Uda antenna. 
PB Begell House
LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,06eba9e05be51735,137a9bcd08b0c37c.html