The Role of Neutral and Adaptive Mutation in an Evolutionary Search on the OneMax Problem
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{yu2:2002:gecco:lbp,
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title = "The Role of Neutral and Adaptive Mutation in an
Evolutionary Search on the OneMax Problem",
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author = "Tina Yu and Julian F. Miller",
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booktitle = "Late Breaking Papers at the Genetic and Evolutionary
Computation Conference ({GECCO-2002})",
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editor = "Erick Cant{\'u}-Paz",
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year = "2002",
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month = jul,
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pages = "512--519",
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address = "New York, NY",
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publisher = "AAAI",
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publisher_address = "445 Burgess Drive, Menlo Park, CA 94025",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, neutrality",
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URL = "http://www.cs.mun.ca/~tinayu/Publications_files/GECCO2002Late.pdf",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7418",
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URL = "http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.15.7418.pdf",
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broken = "http://www.cs.bham.ac.uk/~jfm/gecco2002Late.pdf",
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size = "9 pages",
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abstract = "We investigate neutrality in the simple Genetic
Algorithms (SGA) and in our neutrality-enabled
evolutionary system using the OneMax problem. The
results show that with the support of limited
neutrality, SGA is less effective than our system where
a larger amount of neutrality is supported. In order to
understand the role of neutrality in evolutionary
search of this unimodal landscape, we have created a
theoretical framework that gives the number of gene
changes under different levels of neutrality. The
interim results of this theoretical work are also
presented",
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notes = "Late Breaking Papers, {GECCO-2002}. A joint meeting of
the eleventh International Conference on Genetic
Algorithms ({ICGA-2002}) and the seventh Annual Genetic
Programming Conference ({GP-2002}) part of
cantu-paz:2002:GECCO:lbp
OneMax, explicit versus implicit neutrality, analysis.
Variable mutation rate and neutrality. Success rate
increases with neutrality (Hamming distance)",
- }
Genetic Programming entries for
Tina Yu
Julian F Miller
Citations