Neural networks for pattern recognition
Neural networks for pattern recognition
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
AINE: An Immunological Approach to Data Mining
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
The Coevolution of Antibodies for Concept Learning
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
An Evolutionary Immune Network for Data Clustering
SBRN '00 Proceedings of the VI Brazilian Symposium on Neural Networks (SBRN'00)
Solution concepts in coevolutionary algorithms
Solution concepts in coevolutionary algorithms
A comparative analysis of artificial immune network models
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
INDIE: An Artificial Immune Network for On-Line Density Estimation
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
On AIRS and Clonal Selection for Machine Learning
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
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In this paper a relation between artificial immune network algorithms and coevolutionary algorithms is established. Such relation shows that these kind of algorithms present several similarities, but also remarks features which are unique from artificial immune networks. The main contribution of this paper is to use such relation to apply a formalism from coevolutionary algorithms called solution concept to artificial immune networks. Preliminary experiments performed using the aiNet algorithm over three datasets showed that the proposed solution concept is useful to monitor algorithm progress and to devise stopping criteria.