Ahmed  Hathat, Djamel  Chikouche, 
    Miniaturization of Microstrip Filters Using the Particle Swarm
Optimization Algorithm,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 16,
    2017,
    Pages 4284-4290,
    ISSN 1816-949x,
    jeasci.2017.4284.4290,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.4284.4290)
    Abstract: 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.
    Keywords: Microstrip low-pass filter;Particle Swarm Optimization algorithm;Chebyshev approximation technique;mainiaturization;algeria;compared