Evolution of Mesh Refinement Rules for Impact Dynamics
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @InProceedings{howard:2000:EMRRID,
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author = "Daniel Howard and Simon C. Roberts",
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title = "Evolution of Mesh Refinement Rules for Impact
Dynamics",
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booktitle = "Proceedings of the 2000 Congress on Evolutionary
Computation CEC00",
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year = "2000",
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pages = "1297--1303",
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address = "La Jolla Marriott Hotel La Jolla, California, USA",
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publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
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month = "6-9 " # jul,
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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, novel
applications, impact (mechanical), evolutionary
computation, learning (artificial intelligence),
mechanical engineering computing, partial differential
equations, mesh refinement rule evolution, impact
dynamics, rule learning, adaptive mesh refinement, mesh
cells, material densities, high speed impact, spherical
ball, metal plate",
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ISBN = "0-7803-6375-2",
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DOI = "doi:10.1109/CEC.2000.870801",
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abstract = "Genetic programming (GP) was used in an experiment to
investigate the possibility of learning rules that
trigger adaptive mesh refinement. GP detected mesh
cells that required refinement by evolving a formula
involving cell quantities such as material densities.
Various cell variable combinations were investigated in
order to identify the optimal ones for indicating mesh
refinement. The problem studied was the high speed
impact of a spherical ball on a metal plate.",
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notes = "CEC-2000 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 00TH8512,
Library of Congress Number = 00-018644",
- }
Genetic Programming entries for
Daniel Howard
Simon C Roberts
Citations