Abstract
Chemical Genetic Programming (CGP) is a new method of genetic programming that introduced collision-based biochemical processes and realized dynamic mapping from genotypic strings to phenotypic trees.
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Piaseczny, W., Suzuki, H., Sawai, H.: Chemical genetic programming - Evolutionary optimization of the translation from genotypic strings to phenotypic trees. In: Sugisaka, M., Tanaka, H. (eds.) Proceedings of the Ninth International Symposium on Artificial Life and Robotics (AROB 9th 2004), vol. 2, pp. 571–574 (2004)
Piaseczny, W., Sawai, H., Suzuki, H.: Chemical genetic programming - Evolution of amino acid rewriting rules used for genotype-phenotype translation. In: Proceedings of the 2004 Congress on Evolutionary Computation, CEC-2004 (2004) (to be published)
Ryan, C., O’Neill, M., Collins, J.: Grammatical Evolution: Solving Trigonometric Identities. In: Proceedings of the 4th International Mendel Conference on Genetic Algorithms, Optimization Problems, Fuzzy Logic, Neural Networks, Rough Sets, MENDEL (1998)
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Piaseczny, W., Suzuki, H., Sawai, H. (2004). Chemical Genetic Programming – Coevolution Between Genotypic Strings and Phenotypic Trees. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_83
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DOI: https://doi.org/10.1007/978-3-540-24855-2_83
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