Abstract
Machine learning is the discipline of learning from data and observations. It combines statistics and learning paradigms from artificial intelligence. This chapter introduces concepts to support Genetic Algorithms with machine learning. For a detailed introduction to this field see [56]. Machine learning evolved to a very successful area of research in the last decades.
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Kramer, O. (2017). Machine Learning. In: Genetic Algorithm Essentials. Studies in Computational Intelligence, vol 679. Springer, Cham. https://doi.org/10.1007/978-3-319-52156-5_8
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DOI: https://doi.org/10.1007/978-3-319-52156-5_8
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