Abstract
In this work, coefficients of a high-pass analog filter transfer function are optimized with evolutionary algorithms. The aim is to approximate transfer characteristic obtained with coefficients optimized with Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms to ideal high-pass fitler characteristic. Simulation results show that approximation errors obtained with evolutionary methods in short computation time is less than traditional methods.
Keywords
Evolutionary computation
Particle swarm optimization
Transfer function
Evolutionary algorithm
Filter (signal processing)
Ideal (ethics)
Algorithm
Computation
Computer science
Mathematical optimization
Mathematics
Engineering
Subject Areas
Advanced MEMS and NEMS Technologies
·Electrical and Electronic Engineering ·Physical Sciences
Advanced Adaptive Filtering Techniques
·Computational Mechanics ·Physical Sciences
Evolutionary Algorithms and Applications
·Artificial Intelligence ·Physical Sciences
Citations by Year
2014: 1
Loading…
Loading…