@inproceedings{9c98ebc82daf465da4ce981edcf64f46,
title = "Genetic algorithms and the immune system",
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.",
author = "Stephanie Forrest and Perelson, {Alan S.}",
note = "Funding Information: Portions of this work were done under the auspices of the U. S. Department of Energy and the Santa Fe Institute, and supported by the Center for Nonlinear Studies, Los Alamos National Laboratory and a grant from the National Institutes of Health (AI28433). We are also grateful to John Holland, Rob De Boer, and J. Percus for helpful comments. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1991.; 1st Workshop on Parallel Problem Solving from Nature, PPSN 1990 ; Conference date: 01-10-1990 Through 03-10-1990",
year = "1991",
doi = "10.1007/BFb0029771",
language = "English (US)",
isbn = "9783540541486",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "320--325",
editor = "Hans-Paul Schwefel and Reinhard Manner",
booktitle = "Parallel Problem Solving from Nature - 1st Workshop, PPSN I, Proceedings",
}