Effect of Finite Register Length on Bacterial Foraging Optimization based ICA and Constrained Genetic Algorithm based ICA Algorithm

Abstract

Independent Component Analysis (ICA) technique separates mixed signals blindly without any information of the mixing system. bacterial foraging optimization based ICA (BFOICA) and constrained genetic algorithm based ICA (CGAICA) are two recently developed derivative free evolutionary computational ICA techniques. In BFOICA the foraging behavior of E.coli… (More)

Topics

1 Figure or Table

Cite this paper

@article{Acharya2008EffectOF, title={Effect of Finite Register Length on Bacterial Foraging Optimization based ICA and Constrained Genetic Algorithm based ICA Algorithm}, author={D. P. Acharya and Gautam Panda and Y. V. S. Lakshmi}, journal={2008 International Conference on Signal Processing, Communications and Networking}, year={2008}, pages={244-249} }