Abstract
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/ ~immune/. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Pacheco, J., & Costa, J. F. (2007). The abstract immune system algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4618 LNCS, pp. 137–149). Springer Verlag. https://doi.org/10.1007/978-3-540-73554-0_14
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
