An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease

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Abstract

This paper presents a novel evolutionary algorithm inspired by protein/substrate binding exploited in enzyme genetic programming (EGP) and 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. The inspiration for, and implementation of the algorithm is described and its performance to the application area considered. (C) 2008 Elsevier Ireland Ltd. All rights reserved.

Original languageEnglish
Pages (from-to)34-46
Number of pages13
JournalBiosystems
Volume94
Issue number1-2
DOIs
Publication statusPublished - Oct 2008

Keywords

  • Evolutionary algorithms
  • Artificial immune systems
  • Immune networks
  • Parkinson's disease
  • SYSTEM

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