TY  - JOUR
T1  - Miniaturization of Microstrip Filters Using the Particle Swarm
Optimization Algorithm
AU - Hathat, Ahmed AU - Chikouche, Djamel 
JO  - Journal of Engineering and Applied Sciences
VL  - 12
IS  - 16
SP  - 4284
EP  - 4290
PY  - 2017
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2017.4284.4290
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2017.4284.4290
KW  - Microstrip low-pass filter
KW  -Particle Swarm Optimization algorithm
KW  -Chebyshev approximation technique
KW  -mainiaturization
KW  -algeria
KW  -compared
AB  - In this study, we present our contribution to the miniaturization of microstrip low-pass filters using
the Particle Swarm Optimization algorithm (PSO). After the synthesis of two microstrip low-pass filters of order
three and five by the Chebyshev approximation technique we adapted the PSO algorithm parameters to filter
lowpass miniaturization problem. Two examples of low-pass filter were presented. The procedure we developed
showed that the first filter obtained by the PSO algorithm has a length of 21 mm, so, a mainiaturisation of 21%
compared to the Chybeshev technique and the second filter obtained by the algorithm has a length of 55.9 mm,
so a miniaturization of 57.15% compared to the the Chybeshev technique.
ER  -