Using Genetic Algorithms to Explore Pattern Recognition in the Immune System
1993 ◽
Vol 1
(3)
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pp. 191-211
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Keyword(s):
This paper describes an immune system model based on binary strings. The purpose of the model is to study the pattern-recognition processes and learning that take place at both the individual and species levels in the immune system. The genetic algorithm (GA) is a central component of the model. The paper reports simulation experiments on two pattern-recognition problems that are relevant to natural immune systems. Finally, it reviews the relation between the model and explicit fitness-sharing techniques for genetic algorithms, showing that the immune system model implements a form of implicit fitness sharing.
Keyword(s):
2018 ◽
Vol 11
(1)
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pp. 3937-3949
2020 ◽
Vol 27
(34)
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pp. 5654-5674
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2020 ◽
Vol 25
(46)
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pp. 4893-4913
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2003 ◽
Vol 33
(1)
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pp. 156-165
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