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.
| Original language | English (US) |
|---|---|
| Title of host publication | Parallel Problem Solving from Nature - 1st Workshop, PPSN I, Proceedings |
| Editors | Hans-Paul Schwefel, Reinhard Manner |
| Publisher | Springer Verlag |
| Pages | 320-325 |
| Number of pages | 6 |
| ISBN (Print) | 9783540541486 |
| DOIs | |
| State | Published - Jan 1 1991 |
| Externally published | Yes |
| Event | 1st Workshop on Parallel Problem Solving from Nature, PPSN 1990 - Dortmund, Germany Duration: Oct 1 1990 → Oct 3 1990 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 496 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 1st Workshop on Parallel Problem Solving from Nature, PPSN 1990 |
|---|---|
| Country | Germany |
| City | Dortmund |
| Period | 10/1/90 → 10/3/90 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
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Cite this
Forrest, S., & Perelson, A. S. (1991). Genetic algorithms and the immune system. In H-P. Schwefel, & R. Manner (Eds.), Parallel Problem Solving from Nature - 1st Workshop, PPSN I, Proceedings (pp. 320-325). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 496 LNCS). Springer Verlag. https://doi.org/10.1007/BFb0029771