Evolving alphabet using genetic algorithms

Data compression algorithms were usually designed for data processing symbol by symbol. Symbols are usually characters or bytes, but several other techniques may be used. The most well-known approach is using syllables or words as symbols. Another approach is to take 2-grams, 3-grams or any n-grams as a symbols. All these approaches has pros and cons, but none of them is the best for any file. This paper describes approach of evolving alphabet from characters and 2-grams, which is optimal for compressed text files. The efficiency of the approach will be tested on three compression algorithms.