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Performance Improvement of LZ77 Algorithm using a Strategy Table and a Genetic Algorithm  

Jung Soonchul (서울대학교 전기컴퓨터공학부)
Seo Dong-Il (서울대학교 전기컴퓨터공학부)
Moon Byung-Ro (서울대학교 컴퓨터공학부)
Publication Information
Journal of KIISE:Software and Applications / v.31, no.12, 2004 , pp. 1628-1636 More about this Journal
Abstract
Data compression techniques have been studied for decades because they saved space and time to reduce costs. The Lempel-Ziv 77 (LZ77) is a dictionary-based, lossless compression algorithm. The dictionary size of the LZ77 algorithm is fixed, and the performance of the algorithm is highly dependent on its dictionary size. In this paper, we suggest a dynamic LZ77 algorithm that changes its dictionary size during compression, and also we suggest a genetic algorithm to evolve the dictionary-resizing strategies. The suggested algorithm outperformed the original version up to about 16%.
Keywords
compression algorithm; genetic algorithm; Lempel-Ziv;
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