Implementing an Intuitive Mutation Operator for Interactive Evolutionary 3D Design
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- @InProceedings{byrne_etal:cec2010,
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author = "Jonathan Byrne and James McDermott and
Edgar Galvan-Lopez and Michael O'Neill",
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title = "Implementing an Intuitive Mutation Operator for
Interactive Evolutionary {3D} Design",
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booktitle = "2010 IEEE World Congress on Computational
Intelligence",
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pages = "2919--2925",
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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.2010.5586485",
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abstract = "Locality - how well neighbouring genotypes correspond
to neighbouring phenotypes - has been described as a
key element in Evolutionary Computation. Grammatical
Evolution (GE) is a generative system as it uses
grammar rules to derive a program from an integer
encoded genome. The genome, upon which the evolutionary
process is carried out, goes through several
transformations before it produces an output. The aim
of this paper is to investigate the impact of locality
during the generative process using both qualitative
and quantitative techniques. To explore this, we
examine the effects of standard GE mutation using
distance metrics and conduct a survey of the output
designs. There are two different kinds of event that
occur during standard GE Mutation. We investigate how
each event type affects the locality on different
phenotypic stages when applied to the problem of
interactive design generation.",
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notes = "CEC 2010. WCCI 2010. Also known as \cite{5586485}",
- }
Genetic Programming entries for
Jonathan Byrne
James McDermott
Edgar Galvan Lopez
Michael O'Neill
Citations