Graph Grammars as a Representation for Interactive Evolutionary 3D Design
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{McDermott:2012:EvoMUSART,
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author = "James McDermott",
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title = "Graph Grammars as a Representation for Interactive
Evolutionary {3D} Design",
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booktitle = "Proceedings of the 1st International Conference on
Evolutionary and Biologically Inspired Music, Sound,
Art and Design, EvoMUSART 2012",
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year = "2012",
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month = "11-13 " # apr,
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editor = "Penousal Machado and Juan Romero and
Adrian Carballal",
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series = "LNCS",
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volume = "7247",
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publisher = "Springer Verlag",
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address = "Malaga, Spain",
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pages = "199--210",
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organisation = "EvoStar",
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isbn13 = "978-3-642-29141-8",
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keywords = "genetic algorithms, genetic programming, grammatical
evolution, graph grammars, 3D design, interactive
evolutionary computation",
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DOI = "doi:10.1007/978-3-642-29142-5_18",
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abstract = "A new interactive evolutionary 3D design system is
presented. The representation is based on graph
grammars, a fascinating and powerful formalism in which
sub-graphs, nodes and edges are iteratively rewritten
by rules analogous to those of context-free grammars
and shape grammars. The nodes of the resulting derived
graph are labelled with Euclidean coordinates:
therefore the graph fully represents a 3D beam design.
Results from user-guided runs are reported,
demonstrating the flexibility of the representation.
Comparison with results using an alternative graph
representation demonstrates that the graph grammar
search space is rich in appealing, organised designs. A
set of numerical graph features are defined in an
attempt to computationally distinguish between good and
bad areas of the search space, leading to the
definition of a computational fitness function and
non-interactive runs.",
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notes = "See also \cite{McDermott:2013:GPEM} Part of
\cite{Machado:2012:EvoMusArt_proc} EvoMUSART'2012 held
in conjunction with EuroGP2012, EvoCOP2012 EvoBIO2012
and EvoApplications2012",
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affiliation = "EvoDesignOpt,CSAIL, MIT, USA",
- }
Genetic Programming entries for
James McDermott
Citations