The Advantages of Generative Grammatical Encodings for Physical Design
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- @InProceedings{hornby:2001:taggepd,
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author = "Gregory S. Hornby and Jordan B. Pollack",
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title = "The Advantages of Generative Grammatical Encodings for
Physical Design",
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booktitle = "Proceedings of the 2001 Congress on Evolutionary
Computation CEC2001",
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year = "2001",
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pages = "600--607",
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address = "COEX, World Trade Center, 159 Samseong-dong,
Gangnam-gu, Seoul, Korea",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "27-30 " # may,
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organisation = "IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)",
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publisher = "IEEE Press",
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keywords = "genetic algorithms, genetic programming, lindenmayer
system, L-systems, generative encoding, design,
automatic design creation, engineering problems,
evolutionary algorithms, evolved table designs,
fitness, generative grammatical encodings, generative
specifications, manufacture, physical design, rapid
prototyping equipment, CAD, encoding, evolutionary
computation, grammars, rapid prototyping (industrial)",
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ISBN = "0-7803-6658-1",
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URL = "http://www.demo.cs.brandeis.edu/papers/hornby_cec01.pdf",
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URL = "http://www.demo.cs.brandeis.edu/papers/hornby_cec01.ps",
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DOI = "doi:10.1109/CEC.2001.934446",
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size = "8 pages",
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abstract = "One of the applications of evolutionary algorithms is
the automatic creation of designs. For evolutionary
techniques to scale to the complexities necessary for
actual engineering problems, it has been argued that
generative systems, where the genotype is an algorithm
for constructing the final design, should be used as
the encoding. We describe a system for creating
generative specifications by combining Lindenmayer
systems with evolutionary algorithms and apply it to
the problem of generating table designs. Designs
evolved by our system reach an order of magnitude more
parts than previous generative systems. Comparing it
against a non-generative encoding we find that the
generative system produces designs with higher fitness
and is faster than the non-generative system. Finally,
we demonstrate the ability of our system to go from
design to manufacture by constructing evolved table
designs using rapid prototyping equipment.",
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notes = "CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number = The project page for this
work is at:
http://www.demo.cs.brandeis.edu/pr/evo_design/evo_design.html",
- }
Genetic Programming entries for
Gregory S Hornby
Jordan B Pollack
Citations