Abstract
This paper presents a novel representation of Cartesian genetic programming (CGP) in which multiple networks are used in the classification of high resolution X-rays of the breast, known as mammograms. CGP networks are used in a number of different recombination strategies and results are presented for mammograms taken from the Lawrence Livermore National Laboratory database.
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Völk, K., Miller, J.F., Smith, S.L. (2009). Multiple Network CGP for the Classification of Mammograms. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_45
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DOI: https://doi.org/10.1007/978-3-642-01129-0_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01128-3
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