An improved artificial immune recognition system based on the average scatter matrix trace criterion

Authors:
Xiaoyang Fu;Shuqing Zhang
Affiliations:
Department of Computer Science and Technology, Zhuhai College of Jilin University, Zhuhai, China;Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China
Venue:
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part I
Year:
2012

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Abstract

This paper proposed an improved artificial immune recognition system (IAIRS) based on the average scatter matrix trace (ASMT) criterion. In essence, the artificial immune recognition system (AIRS) is an evolving algorithm. Through clonal expansion, affinity maturation, resource competition and immune memory etc, a set of new samples (memory cells) is produced. The ASMT of memory cells will be decreased and the minimized ASMT can be as the optimal criterion of AIRS. The IAIRS algorithm is demonstrated on a number of benchmark data sets effectively.