Title
Two ways to grow tissue for artificial immune systems
Abstract
An immune system without tissue is like evolution without genes. Something very important is missing. Here we present the novel concept of tissue for artificial immune systems. Much like the genetic representation of genetic algorithms, tissue provides an interface between problem and immune algorithm. Two tissue-growing algorithms are presented with experimental results illustrating their abilities to dynamically cluster data and provide useful signals. The use of tissue to provide an innate immune response driving the adaptive response of conventional immune algorithms is then discussed.
Year
DOI
Venue
2005
10.1007/11536444_11
ICARIS
Keywords
Field
DocType
cluster data,immune system,genetic algorithm,conventional immune algorithm,artificial immune system,immune algorithm,innate immune response,adaptive response,genetic representation
Artificial immune system,Computer science,Innate immune system,Immune system,Genetic representation,Artificial intelligence,Intrusion detection system,Adaptive response,Genetic algorithm
Conference
Volume
ISSN
ISBN
3627
0302-9743
3-540-28175-4
Citations 
PageRank 
References 
18
2.98
4
Authors
3
Name
Order
Citations
PageRank
Peter J. Bentley1963113.11
Julie Greensmith262441.87
Supiya Ujjin3234.59