Reassembling Operator Equalisation: A Secret Revealed
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- @Article{Silva:2011:sigevo,
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author = "Sara Silva",
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title = "Reassembling Operator Equalisation: A Secret
Revealed",
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journal = "SIGEVOlution",
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year = "2010",
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volume = "5",
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number = "3",
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pages = "10--22",
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month = sep,
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.sigevolution.org/issues/pdf/SIGEVOlution0503.pdf",
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DOI = "doi:10.1145/2001576.2001764",
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size = "13 pages",
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abstract = "The recent Crossover Bias theory has shown that bloat
in Genetic Programming can be caused by the
proliferation of small unfit individuals in the
population. Inspired by this theory, Operator
Equalisation is the most recent and successful bloat
control method available. In this work we revisit two
bloat control methods, the old Brood Recombination and
the newer Dynamic Limits, hypothesising that together
they contain the two main ingredients that make
Operator Equalisation so successful. We reassemble
Operator Equalisation by joining these two ingredients
in a hybrid method, and test it in a hard real world
regression problem. The results are surprising.
Operator Equalisation and the hybrid variants exhibit
completely different behaviours, and an unexpected
feature of Operator Equalisation is revealed, one that
may be the true responsible for its success: a nearly
flat length distribution target. We support this
finding with additional results, and discuss its
implications.",
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notes = "Announced Thu, Sep 22, 2011 at 2:28 PM",
- }
Genetic Programming entries for
Sara Silva
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