Clonal selection theory based artificial immune system and its application

Authors:
Hongwei Dai;Yu Yang;Yanqiu Che;Zheng Tang
Affiliations:
Toyama University, Toyama shi, Japan;Tele Electric Supply Service Co. Ltd., Takaoka shi, Japan;Toyama University, Toyama shi, Japan;Toyama University, Toyama shi, Japan
Venue:
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Year:
2006

Citing 3
Cited 0

An introduction to genetic algorithms

An introduction to genetic algorithms
Learning using an artificial immune system

Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

Clonal selection theory describes selection, proliferation, and mutation process of immune cells during immune response. In this Artificial Immune System (AIS), We select not only the highest affinity antibody, but also other antibodies which have higher affinity than that of current memory cell during affinity mutation process. Simulation results for pattern recognition show that the improved model has stronger noise immunity ability than other models.