Investigating Mapping Order in piGE
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- @InProceedings{fagan_etal:cec2010,
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author = "David Fagan and Miguel Nicolau and Michael O'Neill and
Edgar Galvan-Lopez and Anthony Brabazon and
Sean McGarraghy",
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title = "Investigating Mapping Order in {piGE}",
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booktitle = "2010 IEEE World Congress on Computational
Intelligence",
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pages = "3058--3064",
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year = "2010",
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address = "Barcelona, Spain",
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month = "18-23 " # jul,
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organization = "IEEE Computational Intelligence Society",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution",
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isbn13 = "978-1-4244-6910-9",
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DOI = "doi:10.1109/CEC.2010.5586204",
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size = "7 pages",
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abstract = "We present an investigation into the
genotype-phenotype map in Position Independent
Grammatical Evolution (piGE). Previous studies have
shown piGE to exhibit a performance increase over
standard GE. The only difference between the two
approaches is in how the genotype-phenotype mapping
process is performed. GE uses a leftmost non terminal
expansion, while piGE evolves the order of mapping as
well as the content. In this study, we use the idea of
focused search to examine which aspect of the piGE
mapping process provides the lift in performance over
standard GE by applying our approaches to four
benchmark problems taken from specialised literature.
We examined the traditional piGE approach and compared
it to two setups which examined the extremes of mapping
order search and content search, and against setups
with varying ratios of content and order search. In all
of these tests a purely content focused piGE was shown
to exhibit a performance gain over the other setups.",
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notes = "WCCI 2010. Also known as \cite{5586204}",
- }
Genetic Programming entries for
David Fagan
Miguel Nicolau
Michael O'Neill
Edgar Galvan Lopez
Anthony Brabazon
Sean McGarraghy
Citations