Learning using an artificial immune system
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
A Robot with a Decentralized Consensus-making Mechanism Based on the Immune System
ISADS '97 Proceedings of the 3rd International Symposium on Autonomous Decentralized Systems
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Decentralized control system for autonomous navigation based on an evolved artificial immune network
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
Artificial Immune System Based Robot Anomaly Detection Engine for Fault Tolerant Robots
ATC '08 Proceedings of the 5th international conference on Autonomic and Trusted Computing
INDIE: An Artificial Immune Network for On-Line Density Estimation
MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
Review: The use of computational intelligence in intrusion detection systems: A review
Applied Soft Computing
A solution concept for artificial immune networks: a coevolutionary perspective
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Towards a novel immune inspired approach to temporal anomaly detection
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Revisiting the central and peripheral immune system
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
A cooperative immunological approach for detecting network anomaly
Applied Soft Computing
The idiotypic network with binary patterns matching
ICARIS'06 Proceedings of the 5th international conference on Artificial Immune Systems
A survey on optimization metaheuristics
Information Sciences: an International Journal
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This paper presents a review of different artificial immune network models, which have been published during the last years. A general model of artificial immune network is presented, which provides a common notation that allows the comparison of different models. A descriptive and comparative analysis is presented emphasizing similarities, differences and relationships between models. Finally, some conclusions and suggestions for improving existent models are presented.