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» An improved immune Q-learning algorithm
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CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 7 months ago
Sensing Danger: Innate Immunology for Intrusion Detection
The immune system provides an ideal metaphor for anomaly detection in general and computer security in particular. Based on this idea, artificial immune systems have been used for...
Uwe Aickelin, Julie Greensmith
GECCO
2005
Springer
197views Optimization» more  GECCO 2005»
14 years 1 months ago
Performance assessment of an artificial immune system multiobjective optimizer by two improved metrics
In this study, we introduce two improved assessment metrics of multiobjective optimizers, Nondominated Ratio and Spacing Distribution, and analyze their rationality and validity. ...
Maoguo Gong, Licheng Jiao, Haifeng Du, Ronghua Sha...
CEC
2007
IEEE
14 years 2 months ago
WAIRS: improving classification accuracy by weighting attributes in the AIRS classifier
— AIRS (Artificial Immune Recognition System) has shown itself to be a competitive classifier. It has also proved to be the most popular immune inspired classifier. However, rath...
Andrew Secker, Alex Alves Freitas
MOBIHOC
2008
ACM
14 years 7 months ago
Improving sensor network immunity under worm attacks: a software diversity approach
Because of cost and resource constraints, sensor nodes do not have a complicated hardware architecture or operating system to protect program safety. Hence, the notorious buffer-o...
Yi Yang, Sencun Zhu, Guohong Cao
GECCO
2003
Springer
148views Optimization» more  GECCO 2003»
14 years 25 days ago
A Hybrid Immune Algorithm with Information Gain for the Graph Coloring Problem
We present a new Immune Algorithm that incorporates a simple local search procedure to improve the overall performances to tackle the graph coloring problem instances. We character...
Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone