[1]WANG Hui,YU Lijun,WANG Kejun,et al.An adjustable fuzzy matching negative selection algorithm[J].CAAI Transactions on Intelligent Systems,2011,6(2):178-184.
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An adjustable fuzzy matching negative selection algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 2 Page number: 178-184 Column: 学术论文—人工智能基础 Public date: 2011-04-25
Title:
An adjustable fuzzy matching negative selection algorithm
Author(s):
WANG Hui;  YU Lijun;  WANG Kejun;  ZHANG Lijun
College of Automation, Harbin Engineering University, Harbin 150001, China
Keywords:
negative selection;  continuous similarity;  fuzzy matching;  holes;  effective detector sets
CLC:
TP301
DOI:
-
Abstract:
This paper analyzed the negative selection algorithm mechanism in an artificial immune system, defined continuous similarity and deviation, and put forward an adjustable fuzzy matching negative selection immune algorithm. The algorithm clearly reduced the number of holes through adjusting the matching threshold, and used a fuzzy idea to realize fuzzy matching with continuous controlled similarity. In order to eliminate the redundancy phenomenon between detector sets and increase the detecting efficiency, an effective detector set was created on the basis of fuzzy matching. The simulation results show that the mature detector generated by the adjustable fuzzy matching negative selection algorithm can detect data in a larger range and the space coverage ratio is noticeably increased. Also, the number of holes clearly declines, and the algorithm has better robustness. 
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