Abstract
Using genetic algorithm techniques we introduce a model to examine the hypothesis that antibody and T cell receptor genes evolved so as to encode the information needed to recognize schemas that characterize common pathogens. We have implemented the algorithm on the Connection Machine for 16,384 64-bit antigens and 512 64-bit antibodies.
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© 1991 Springer-Verlag Berlin Heidelberg
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Forrest, S., Perelson, A.S. (1991). Genetic algorithms and the immune system. In: Schwefel, HP., Männer, R. (eds) Parallel Problem Solving from Nature. PPSN 1990. Lecture Notes in Computer Science, vol 496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029771
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DOI: https://doi.org/10.1007/BFb0029771
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