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

Created by W.Langdon from gp-bibliography.bib Revision:1.4659

@Article{Smith200834,

• author = "Stephen L. Smith and Jon Timmis",
• title = "An immune network inspired evolutionary algorithm for the diagnosis of Parkinson's disease",
• journal = "Biosystems",
• volume = "94",
• number = "1-2",
• pages = "34--46",
• year = "2008",
• note = "Seventh International Workshop on Information Processing in Cells and Tissues - IPCAT 2007",
• keywords = "genetic algorithms, genetic programming, Evolutionary algorithms, Artificial immune systems, Immune networks, Parkinson's disease",
• URL = "http://www.sciencedirect.com/science/article/B6T2K-4ST3YNH-5/2/5f4eadc8fcbfdbfc78c2004eaf768812",
• DOI = "doi:10.1016/j.biosystems.2008.05.024",
• 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.",

}

Genetic Programming entries for Stephen L Smith Jon Timmis

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