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In this paper, implementation of a genetic algorithm has been described to store and later, recall of some prototype patterns in Hopfield neural network associative memory. Various operators of genetic algorithm (mutation, cross-over, elitism etc) are used to evolve the population of optimal weight matrices for the purpose of storing the patterns and then recalling of the patterns with induced noise was made, again using a genetic algorithm. The optimal weight matrices obtained during thedoi:10.5121/ijsc.2012.3205 fatcat:vk3ieckjtbco3gtazoe6exnmle