Fault-Tolerant Computing with N-Version Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@TechReport{imamura:2001:geccoTR,

• author = "Kosuke Imamura and James A. Foster",
• title = "Fault-Tolerant Computing with N-Version Genetic Programming",
• institution = "Initiative for Bioinformatics and Evolutionary STudies (IBEST), Computer Science Department, University of Idaho",
• year = "2001",
• address = "Moscow, ID 83844-1010, USA",
• note = "Submitted to Genetic and Evolutionary Computing Conference (GECCO 2001)",
• keywords = "genetic algorithms, genetic programming",
• URL = "http://people.ibest.uidaho.edu/~foster/Papers/7386.pdf",
• abstract = "Software reliability is an increasingly important issue today. Yet, reliability of genetic programming has not been studied fully. A genetic program to be deployed is often the one which performs the best on sample tests. One of the techniques to improve reliability is N-version programming. Our question is whether N-version genetic programming (NVGP) improves reliability over a single version. We applied NVGP to a path prediction problem, and compared the performance with a single version. Statistics from the experiment suggests that NVGP is a viable method to increase reliability.",
• notes = "see \cite{imamura:2001:gecco}",
• size = "7 pages",

}

Genetic Programming entries for Kosuke Imamura James A Foster

Citations