@article{MAKHILLJEAS2017121614752,
    title = {Miniaturization of Microstrip Filters Using the Particle Swarm
Optimization Algorithm},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {16},
    pages = {4284-4290},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.4284.4290},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.4284.4290},
    author = {Ahmed and},
    keywords = {Microstrip low-pass filter,Particle Swarm Optimization algorithm,Chebyshev approximation technique,mainiaturization,algeria,compared},
    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.}
    }