Optimising complex pylon structures with grammatical evolution
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @Article{Byrne:2014:IS,
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author = "Jonathan Byrne and Michael Fenton and Erik Hemberg and
James McDermott and Michael O'Neill",
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title = "Optimising complex pylon structures with grammatical
evolution",
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journal = "Information Sciences",
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year = "2014",
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volume = "316",
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pages = "582--597",
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month = sep,
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ISSN = "0020-0255",
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DOI = "doi:10.1016/j.ins.2014.03.010",
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URL = "http://www.sciencedirect.com/science/article/pii/S0020025514002904",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, Structural optimisation, Architecture,
Grammar",
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abstract = "Evolutionary algorithms have proved their ability to
optimise architectural designs but are limited by their
representation, i.e., the structures that the algorithm
is capable of generating. The representation is
normally constrained to small structures, or parts of a
larger structure, to prevent a preponderance of invalid
designs. This work uses a grammar based representation
to generate large scale pylon designs. It removes
invalid designs from the search space, but still allows
complex and large scale constructions. In order to show
the suitability of this method to real world design
problems, we apply it to the Royal Institute of British
Architects pylon design competition. This work shows
that a combination of a grammar representation with
real world constraints is capable of exploring
different design configurations while evolving viable
and optimised designs.",
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notes = "Also known as \cite{byrne:ocpswge:2014}",
- }
Genetic Programming entries for
Jonathan Byrne
Michael Fenton
Erik Hemberg
James McDermott
Michael O'Neill
Citations