Open AccessDesign Optimization of Low-Pass Filter with Exponential Transmission Lines Using Differential Evolutionary Algorithm
Author(s) -
Aysu Belen,
Filiz Güneş,
Mehmet A. Belen,
Mahdi Ranjbar Moule
Publication year - 2018
Publication title -
akıllı sistemler ve uygulamaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 2667-6893
DOI - 10.54856/jiswa.201812030
Subject(s) - algorithm , exponential function , filter (signal processing) , mathematical optimization , differential evolution , transmission line , evolutionary algorithm , bandwidth (computing) , low pass filter , genetic algorithm , transmission (telecommunications) , computer science , electric power transmission , mathematics , optimization problem , filter design , engineering , telecommunications , mathematical analysis , computer vision , electrical engineering
In this work, Differential Evolutionary Algorithm (DEA), a novel and commonly used optimization algorithm in engineering problems, is applied for the design optimization of a low pass filter with exponential transmission lines. Basically the principle of DEA is similar to genetic algorithms techniques, however compare to meta-heuristic algorithms it has a much simpler algorithm structure and higher stability compare to its counterpart algorithms. For design optimization of low pass filter with exponential transmission lines, each of the transmission lines width and variation with its length are taken as an optimization variable for DEA. Firstly the unit microstrip transmission line model is chosen. After that, the optimal value of widths and lengths are obtained via DEA. The cost function of the DEA is based on the calculation of scattering parameters of candidate's solutions crossed the requested frequency bandwidth.