The abstract immune system algorithm

Authors:
José Pacheco;José Félix Costa
Affiliations:
Departamento de Informática, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal;Department of Mathematics, Instituto Superior Técnico, Universidade Técnica de Lisboa, Lisboa, Portugal and Centro de Matemática e Aplicações Fundamentais do Complexo Inte ...
Venue:
UC'07 Proceedings of the 6th international conference on Unconventional Computation
Year:
2007

Citing 5
Cited 3

The immune system, adaptation, and machine learning

Physica D
Artficial Immune Systems and Their Applications

Artficial Immune Systems and Their Applications
Prisoner's Dilemma

Prisoner's Dilemma
Artificial Immune Systems: A New Computational Intelligence Paradigm

Artificial Immune Systems: A New Computational Intelligence Paradigm
Immunocomputing: Principles and Applications

Immunocomputing: Principles and Applications

The gene regulatory network: an application to optimal coverage in sensor networks

Proceedings of the 10th annual conference on Genetic and evolutionary computation
An immune memory clonal algorithm for numerical and combinatorial optimization

Frontiers of Computer Science in China
Review Article: Recent Advances in Artificial Immune Systems: Models and Applications

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

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/˜jddp/immune/.