Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic algorithm with deterministic crossover for vector quantization
Pattern Recognition Letters
An Introduction to Genetic Algorithms
An Introduction to Genetic Algorithms
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Comparative study on VQ with simple GA and ordain GA
ACMOS'07 Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation
Fast and memory efficient implementation of the exact PNN
IEEE Transactions on Image Processing
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The present work is based on using the reinforced learning technique on evolutionary computation for compressing an image. We have reinforced the best code vectors for a codebook in vector quantization, and kept them alive for the next generation until we got the best image. A genetic algorithm model was designed using reinforced learning with the pairwise nearest neighbor approach (PNN). The proposed method was evaluated with respect to quality of compressed image by calculating Peak Signal to Noise Ratio (PSNR). We used Lena image for our experiments and the PSNR value for proposed method is 34.6.