Hardware acceleration of an immune network inspired evolutionary algorithm for medical diagnosis

Abstract

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. © 2008 Springer-Verlag Berlin Heidelberg.