File compression using typogenetic computation

Abstract

Typogenetic algorithms are a break from classical approaches to computation. Based on gene expression and intercellular processes, typo-genetic computation can offer a new approach to the algorithmic problems of system security, data compression and encryption. The method has a potential of much higher compression ratios at the limited computational costs i.e. processing time. This paper presents a formal system based on typogenetics for the purposes of compression. Lossless data compression is an important part of computer science. While the ability to reduce consumption of hard disk space or transmission bandwidth through statistical redundancy has served well in the past, the explosive growth in high quality media content (*.mp3, *.mpg) on the internet in the past few years have highlighted the limitations of traditional statistical techniques for compression. © 2008 IEEE