Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Self-Nonself Discrimination in a Computer
SP '94 Proceedings of the 1994 IEEE Symposium on Security and Privacy
Diagnosis of Parkinson's disease using evolutionary algorithms
Genetic Programming and Evolvable Machines
A comparative study of real-valued negative selection to statistical anomaly detection techniques
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
An approach of soft computing applications in clinical neurology
HAIS'11 Proceedings of the 6th international conference on Hybrid artificial intelligent systems - Volume Part II
Clonal selection: an immunological algorithm for global optimization over continuous spaces
Journal of Global Optimization
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
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This paper proposes the hardware implementation of a novel evolutionary algorithm inspired by protein/substrate binding exploited in artificial immune networks. The immune network inspired evolutionary algorithm has been developed in direct response to an application in clinical neurology, the diagnosis of Parkinson's Disease, but is now being considered for other more demanding applications where real-time processing of data is required. The inspiration for the algorithm and its proposed implementation in hardware is presented. The effectiveness of the approach is shown by results obtained from a software implementation.