Using Domain Knowledge in Evolutionary System
Identification
M. Schoenauer, and M. Sebag. Evolutionary Methods for Design, Optimization and
Control with Applications to Industrial Problems, Athens, (19-21 September 2001)
Abstract
Two example of Evolutionary System Identification are
presented to highlight the importance of incorporating
Domain Knowledge: the discovery of an analytical
indentation law in Structural Mechanics using
constrained Genetic Programming, and the identification
of the repartition of underground velocities in Seismic
Prospection. Critical issues for successful ESI are
discussed in the light of these results.
Evolutionary Methods for Design, Optimization and
Control with Applications to Industrial Problems
year
2001
month
19-21 September
notes
EUROGEN'2001
http://eurogen2001.ltt.mech.ntua.gr/eurogen/ invited
speaker
To be publihed with CIMNE, Barcelona, 2002 ???? also
known as oai:arXiv.org:cs/0602021
%0 Conference Paper
%1 Schoenauer:2001:EUROGEN
%A Schoenauer, Marc
%A Sebag, Michele
%B Evolutionary Methods for Design, Optimization and
Control with Applications to Industrial Problems
%C Athens
%D 2001
%E Giannakoglou, K. C.
%E Tsahalis, D.
%E Periaux, J.
%E Papailiou, K.
%E Fogarty, T. C.
%K algorithms, genetic inverse problems programming,
%T Using Domain Knowledge in Evolutionary System
Identification
%U http://arxiv.org/abs/cs/0602021
%X Two example of Evolutionary System Identification are
presented to highlight the importance of incorporating
Domain Knowledge: the discovery of an analytical
indentation law in Structural Mechanics using
constrained Genetic Programming, and the identification
of the repartition of underground velocities in Seismic
Prospection. Critical issues for successful ESI are
discussed in the light of these results.
@inproceedings{Schoenauer:2001:EUROGEN,
abstract = {Two example of Evolutionary System Identification are
presented to highlight the importance of incorporating
Domain Knowledge: the discovery of an analytical
indentation law in Structural Mechanics using
constrained Genetic Programming, and the identification
of the repartition of underground velocities in Seismic
Prospection. Critical issues for successful ESI are
discussed in the light of these results.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Athens},
author = {Schoenauer, Marc and Sebag, Michele},
biburl = {https://www.bibsonomy.org/bibtex/2374c1a6450290a9cc0f2dd178fc4446c/brazovayeye},
booktitle = {Evolutionary Methods for Design, Optimization and
Control with Applications to Industrial Problems},
editor = {Giannakoglou, K. C. and Tsahalis, D. and Periaux, J. and Papailiou, K. and Fogarty, T. C.},
interhash = {a30dd4253853cce7539e6e6d1135cc01},
intrahash = {374c1a6450290a9cc0f2dd178fc4446c},
keywords = {algorithms, genetic inverse problems programming,},
month = {19-21 September},
notes = {EUROGEN'2001
http://eurogen2001.ltt.mech.ntua.gr/eurogen/ invited
speaker
To be publihed with CIMNE, Barcelona, 2002 ???? also
known as \cite{oai:arXiv.org:cs/0602021}},
timestamp = {2008-06-19T17:51:10.000+0200},
title = {Using Domain Knowledge in Evolutionary System
Identification},
url = {http://arxiv.org/abs/cs/0602021},
year = 2001
}