Conference Proceeding

A novel functional sized population quantum evolutionary algorithm for fractal image compression

Islamic Azad Univ., Gorgan, Iran
11/2009; DOI:10.1109/CSICC.2009.5349639 In proceeding of: Computer Conference, 2009. CSICC 2009. 14th International CSI
Source: IEEE Xplore

ABSTRACT Quantum evolutionary algorithm (QEA) is a novel optimization algorithm which uses a probabilistic representation for solution and is highly suitable for combinatorial problems like Knapsack problem. Fractal image compression is a well-known problem which is in the class of NP-Hard problems. Genetic algorithms are widely used for fractal image compression problems, but QEA is not used for this kind of problems yet. This paper uses a novel Functional Sized population Quantum Evolutionary Algorithm for fractal image compression. Experimental results show that the proposed algorithm has a better performance than GA and conventional fractal image compression algorithms.

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