Fault-Tolerant Computing with N-Version Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8129
- @TechReport{imamura:2001:geccoTR,
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author = "Kosuke Imamura and James A. Foster",
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title = "Fault-Tolerant Computing with N-Version Genetic
Programming",
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institution = "Initiative for Bioinformatics and Evolutionary STudies
(IBEST), Computer Science Department, University of
Idaho",
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year = "2001",
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address = "Moscow, ID 83844-1010, USA",
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note = "Submitted to Genetic and Evolutionary Computing
Conference (GECCO 2001)",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://people.ibest.uidaho.edu/~foster/Papers/7386.pdf",
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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.",
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notes = "see \cite{imamura:2001:gecco}",
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size = "7 pages",
- }
Genetic Programming entries for
Kosuke Imamura
James A Foster
Citations