A Novel Functional Sized Population Quantum Evolutionary Algorithm for Fractal Image Compression
Publish place: 14th annual International CSI Computer Conference
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
CSICC14_063
تاریخ نمایه سازی: 24 خرداد 1388
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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Authors
Ali Nodehi
Islamic Azad University, Gorgan, Iran
Mohamad Tayarani
Islamic Azad University, Mashhad, Iran
Fariborz Mahmoudi
Islamic Azad University, Qazvin, Iran