Volume 25 , Issue 1 , June 2023 , Pages 185-194
Dlnya Aziz Ibrahim 1 ; Aras Saeed Mahmood 2
1 Assist. Lecturer at University of Sulamani in Kurdistan Region, Physics Department
2 Assist. Prof.at University of Sulaimani in Kurdistan Region, Physics Department
Genetic algorithm (GA) is global numerical optimization approach is based on the
genetic recombination and assessment in nature. This kind of optimization can be
utilized to optimize the amplitude, phase levels and spacing distribution for the
elements of an antenna array to achieve its best performance. In this study the genetic
algorithm of the 4NEC2X software has been used to optimize the element spacing (𝑑 =
𝜆
4
) of both a uniform and non-uniform (Binomial and Chebyshev) current excitation
for 10-element, 2.4 GHz linear broadside dipole antenna arrays. As a consequence, for
the above-mentioned array antennas the spacing optimization yielded a notable
improve in their directivity and Gain (dBi), such that for the uniform current excitation
the gain was reached to 14.8dBi and for both Binomial and Chebyshev non-uniform
current excitation the gain increased to 12.57 dBi and 15.04 dBi respectively.