The Abstract Immune System Algorithm
- Cite this paper as:
- Pacheco J., Costa J.F. (2007) The Abstract Immune System Algorithm. In: Akl S.G., Calude C.S., Dinneen M.J., Rozenberg G., Wareham H.T. (eds) Unconventional Computation. UC 2007. Lecture Notes in Computer Science, vol 4618. Springer, Berlin, Heidelberg
In this paper we present an Abstract Immune System Algorithm, based on the model introduced by Farmer et al, inspired on the theory of Clonal Selection and Idiotypic Network due to Niels Jerne. The proposed algorithm can be used in order to solve problems much in the way that Evolutionary Algorithms or Artificial Neural Networks do. Besides presenting the Algorithm itself, we briefly discuss its various parameters, how to encode input data and how to extract the output data from its outcome. The reader can do their own experiments using the workbench found in the address http://ctp.di.fct.unl.pt/~jddp/immune/.
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