Abstract
An evolutionary algorithm able to synthesize low-sensitivity digital filters using a chromosome coding scheme based on the adjacency matrix is proposed. It is shown that the proposed representation is more flexible than GP-tree schemes and has a higher search space dimension.
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Sá, L., Mesquita, A. (2008). Digital Filters Using Adjacency Matrix Representation. In: Gelbukh, A., Morales, E.F. (eds) MICAI 2008: Advances in Artificial Intelligence. MICAI 2008. Lecture Notes in Computer Science(), vol 5317. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88636-5_38
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DOI: https://doi.org/10.1007/978-3-540-88636-5_38
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