An Assessment of String-Rewriting Grammars for Evolutionary Architectural Design
Created by W.Langdon from
gp-bibliography.bib Revision:1.7964
- @Article{McDermottSHBHFMSO:2012:EPBAAoSRGfEAD,
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author = "James McDermott and John Mark Swafford and
Martin Hemberg and Jonathan Byrne and Erik Hemberg and
Michael Fenton and Ciaran McNally and Elizabeth Shotton and
Michael O'Neill",
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title = "An Assessment of String-Rewriting Grammars for
Evolutionary Architectural Design",
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journal = "Environment and Planning B",
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year = "2012",
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volume = "39",
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number = "4",
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pages = "713--731",
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keywords = "genetic algorithms, genetic programming",
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URL = "http://www.envplan.com/abstract.cgi?id=b38037",
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DOI = "doi:10.1068/b38037",
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size = "19 pages",
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abstract = "Evolutionary methods afford a productive and creative
alternative design workflow. Crucial to success is the
choice of formal representation of the
problem.String-rewriting context-free grammars (CFGs)
are one common option in evolutionary computation, but
their suitability for design is not obvious. Here, a
CFG-based evolutionary algorithm for design is
presented. The process of meta-design is described, in
which the CFG is created and then refined to produce an
improved design language. CFGs are contrasted with
another grammatical formalism better known in
architectural design: Stiny's shape grammars. The
advantages and disadvantages of the two types of
grammars for design tasks are discussed.",
-
notes = "GEVA",
- }
Genetic Programming entries for
James McDermott
John Mark Swafford
Martin Hemberg
Jonathan Byrne
Erik Hemberg
Michael Fenton
Ciaran McNally
Elizabeth Shotton
Michael O'Neill
Citations