Genetic programming can be used for structural
optimisation. Combined with a hybrid simplex/simulated
annealing algorithm, it is applied to the
identification of nonlinear dynamic models from
simulated experimental data. Nonlinear models similar
to the original test model of the system are
identified, yielding both correct structures and
accurate parameters.
See also gray:1996:ssi SIMULINK, MATLAB.
Numerical parameters optimised using combination of
Nelder simplex minimisation and simulated annealing.
A.P.Fraser's gpc++.
%0 Journal Article
%1 gray:1996:ssi2
%A Gray, Gary J.
%A Li, Yun
%A Murray-Smith, D. J.
%A Sharman, K. C.
%D 1996
%J Electronics Letters
%K algorithm, algorithms, annealing annealing, block diagram, dynamic dynamical genetic hybrid identification, model, nonlinear optimisation, programming, simplex/simulated simulated simulation simulation, structural system systems tool,
%N 15
%P 1422--1424
%T Structural system identification using genetic
programming and a block diagram oriented simulation
tool
%U http://ieeexplore.ieee.org/iel1/2220/11173/00511160.pdf?isNumber=11173
%V 32
%X Genetic programming can be used for structural
optimisation. Combined with a hybrid simplex/simulated
annealing algorithm, it is applied to the
identification of nonlinear dynamic models from
simulated experimental data. Nonlinear models similar
to the original test model of the system are
identified, yielding both correct structures and
accurate parameters.
@article{gray:1996:ssi2,
abstract = {Genetic programming can be used for structural
optimisation. Combined with a hybrid simplex/simulated
annealing algorithm, it is applied to the
identification of nonlinear dynamic models from
simulated experimental data. Nonlinear models similar
to the original test model of the system are
identified, yielding both correct structures and
accurate parameters.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Gray, Gary J. and Li, Yun and Murray-Smith, D. J. and Sharman, K. C.},
biburl = {https://www.bibsonomy.org/bibtex/2f76f3186051860dc35f403e355e80e6f/brazovayeye},
interhash = {1ef53796b1685ca5bc72efbe938f3d0f},
intrahash = {f76f3186051860dc35f403e355e80e6f},
issn = {0013-5194},
journal = {Electronics Letters},
keywords = {algorithm, algorithms, annealing annealing, block diagram, dynamic dynamical genetic hybrid identification, model, nonlinear optimisation, programming, simplex/simulated simulated simulation simulation, structural system systems tool,},
month = {18 July},
notes = {See also \cite{gray:1996:ssi} SIMULINK, MATLAB.
Numerical parameters optimised using combination of
Nelder simplex minimisation and simulated annealing.
A.P.Fraser's gpc++.},
number = 15,
pages = {1422--1424},
timestamp = {2008-06-19T17:40:35.000+0200},
title = {Structural system identification using genetic
programming and a block diagram oriented simulation
tool},
url = {http://ieeexplore.ieee.org/iel1/2220/11173/00511160.pdf?isNumber=11173},
volume = 32,
year = 1996
}