Open AccessDesign of Digital Filter by Differential Evolution
Author(s) -
Prof. Sudhir Adhikrao Kadam,
Prof. Dr. Mahesh S. Chavan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b2420.078219
Subject(s) - bounding overwatch , differential evolution , population , selection (genetic algorithm) , filter (signal processing) , mathematical optimization , computer science , mathematics , digital filter , sampling (signal processing) , algorithm , artificial intelligence , demography , sociology , computer vision
This methodology for stable and robust design of FIR filters. Differential evolution (DE) is taken as a global search technique and it uses local search algorithm to find the optimal solution for the design. DE is implemented here to design low pass, band pass as well as high order filters and results which are obtained can also be applied to higher order filters. The recombination approach involves the creation of new candidate solution components based on the weighted difference between two randomly selected population members added to a third population member. This perturbs population members relative to the spread of the broader population. In conjunction with selection, the perturbation effect self-organizes the sampling of the problem space, bounding it to known areas of interest