@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 = "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",
}