1 Hybrid Algorithm for Data Compression Using Genetic and Huffman

Text compression plays an important role and it is an essential object to decrease storage size and increase the speed of data transmission through communication channels. In this research, a hybrid compression system is introduced which depends on the genetic algorithm for finding the best Huffman tree which give the best compression ratio, and then applying another compression method named Oring bits on the results of the primary compression by applying the compression method, and also using a decompression algorithms for both Huffman and Oring bits. The variety in the text characters leads to the variety in the Huffman trees and finally obtaining the best possible compression. In addition, the increase in the frequencies of the text has an affect on the compression rate