Evolution of Mesh Refinement Rules for Impact
Dynamics
D. Howard, and S. Roberts. Proceedings of the 2000 Congress on Evolutionary
Computation CEC00, page 1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
DOI: doi:10.1109/CEC.2000.870801
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.
Proceedings of the 2000 Congress on Evolutionary
Computation CEC00
year
2000
month
6-9 July
pages
1297--1303
publisher
IEEE Press
organisation
IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)
publisher_address
445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA
isbn
0-7803-6375-2
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
%0 Conference Paper
%1 howard:2000:EMRRID
%A Howard, Daniel
%A Roberts, Simon C.
%B Proceedings of the 2000 Congress on Evolutionary
Computation CEC00
%C La Jolla Marriott Hotel La Jolla, California, USA
%D 2000
%I IEEE Press
%K (artificial (mechanical), Programming, adaptive algorithms, applications ball, cells, computation, computing, densities, differential dynamics, engineering equations, evolution, evolutionary genetic high i,mpact impact impact, intelligence), learning learning, material mechanical mesh metal novel partial plate refinement refinement, rule speed spherical
%P 1297--1303
%R doi:10.1109/CEC.2000.870801
%T Evolution of Mesh Refinement Rules for Impact
Dynamics
%X 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.
%@ 0-7803-6375-2
@inproceedings{howard:2000:EMRRID,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {La Jolla Marriott Hotel La Jolla, California, USA},
author = {Howard, Daniel and Roberts, Simon C.},
biburl = {https://www.bibsonomy.org/bibtex/2569a267fd90fc045a9576b447b483f47/brazovayeye},
booktitle = {Proceedings of the 2000 Congress on Evolutionary
Computation CEC00},
doi = {doi:10.1109/CEC.2000.870801},
interhash = {8dd95f42aad4e1fb1980c79d1107e165},
intrahash = {569a267fd90fc045a9576b447b483f47},
isbn = {0-7803-6375-2},
keywords = {(artificial (mechanical), Programming, adaptive algorithms, applications ball, cells, computation, computing, densities, differential dynamics, engineering equations, evolution, evolutionary genetic high i,mpact impact impact, intelligence), learning learning, material mechanical mesh metal novel partial plate refinement refinement, rule speed spherical},
month = {6-9 July},
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},
organisation = {IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)},
pages = {1297--1303},
publisher = {IEEE Press},
publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA},
timestamp = {2008-06-19T17:41:48.000+0200},
title = {Evolution of Mesh Refinement Rules for Impact
Dynamics},
year = 2000
}