Evolutionary Design using Grammatical Evolution and Shape Grammars: Designing a Shelter
Created by W.Langdon from
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- @Article{oneill_etal:ijde2010,
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author = "Michael O'Neill and James McDermott and
John Mark Swafford and Jonathan Byrne and Erik Hemberg and
Anthony Brabazon and Elizabeth Shotton and
Ciaran McNally and Martin Hemberg",
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title = "Evolutionary Design using Grammatical Evolution and
Shape Grammars: Designing a Shelter",
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journal = "International Journal of Design Engineering",
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year = "2010",
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volume = "3",
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number = "1",
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pages = "4--24",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, evolutionary design, architecture, shape
grammars, evolutionary computation, shelter design,
design engineering",
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URL = "http://inderscience.metapress.com/openurl.asp?genre=article&issn=1751-5874&volume=3&issue=1&spage=4",
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DOI = "doi:10.1504/IJDE.2010.032820",
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abstract = "A new evolutionary design tool is presented, which
uses shape grammars and a grammar-based form of
evolutionary computation, grammatical evolution (GE).
Shape grammars allow the user to specify possible
forms, and GE allows forms to be iteratively selected,
recombined and mutated: this is shown to be a powerful
combination of techniques. The potential of GE and
shape grammars for evolutionary design is examined by
attempting to design a single-person shelter to be
evaluated by collaborators from the University College
Dublin School of Architecture, Landscape, and
Engineering. The team was able to successfully generate
conceptual shelter designs based on scrutiny from the
collaborators. A number of avenues for future work are
highlighted arising from the case study.",
- }
Genetic Programming entries for
Michael O'Neill
James McDermott
John Mark Swafford
Jonathan Byrne
Erik Hemberg
Anthony Brabazon
Elizabeth Shotton
Ciaran McNally
Martin Hemberg
Citations