Neural Optimization of Evolutionary Algorithm Parameters
نویسنده
چکیده
This paper presents a novel idea of using an unsupervised neural network to optimize the on-line parameters of an Evolutionary Algorithm with specific attention paid to Genetic Algorithms. The results show a marked improvement in the output of the Neural Optimized Genetic Algorithm. Further research in this field may prove to be fruitful.
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