Through the Interaction of Neutral and Adaptive Mutations, Evolutionary Search Finds a Way
Created by W.Langdon from
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- @Article{Yu:2006:AL,
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author = "Tina Yu and Julian Francis Miller",
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title = "Through the Interaction of Neutral and Adaptive
Mutations, Evolutionary Search Finds a Way",
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journal = "Artificial Life",
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year = "2006",
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volume = "12",
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number = "4",
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pages = "525--551",
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month = "Fall",
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keywords = "genetic algorithms, genetic programming, cartesian
genetic programming",
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ISSN = "1064-5462",
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URL = "http://www.cs.mun.ca/~tinayu/Publications_files/YuMiller.pdf",
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DOI = "doi:10.1162/artl.2006.12.4.525",
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size = "28 pages",
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abstract = "An evolutionary system that supports the interaction
of neutral and adaptive mutations is investigated.
Experimental results on a Boolean function and
needle-in-haystack problems show that this system
enables evolutionary search to find better solutions
faster. Through a novel analysis based on the ratio of
neutral to adaptive mutations, we identify this
interaction as an engine that automatically adjusts the
relative amounts of exploration and exploitation to
achieve effective search (i.e., it is self-adaptive).
Moreover, a hypothesis to describe the search process
in this system is proposed and investigated. Our
findings lead us to counter the arguments of those who
dismiss the usefulness of neutrality. We argue that the
benefits of neutrality are intimately related to its
implementation, so that one must be cautious about
making general claims about its merits or demerits",
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notes = "See also \cite{yu:2002:EuroGP}. Even-12-Parity",
- }
Genetic Programming entries for
Tina Yu
Julian F Miller
Citations