I. Sekaj, J. Perkacz, and T. Palenik. GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation, 2, page 2265--2265. London, ACM Press, (7-11 July 2007)
Abstract
Three genetic programming-based approaches are
proposed for continuous-time process control design.
Two approaches are represented using a network of
interconnected continuous-time or discrete-time
elementary dynamic building blocs. In the third
approach the control algorithm is represented as a
recurrent function of discrete-time input variables.
GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation
year
2007
month
7-11 July
pages
2265--2265
publisher
ACM Press
volume
2
organisation
ACM SIGEVO (formerly ISGEC)
publisher_address
New York, NY, USA
isbn13
978-1-59593-697-4
notes
GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).
ACM Order Number 910071
%0 Conference Paper
%1 1277400
%A Sekaj, Ivan
%A Perkacz, Juraj
%A Palenik, Tomas
%B GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation
%C London
%D 2007
%E Thierens, Dirk
%E Beyer, Hans-Georg
%E Bongard, Josh
%E Branke, Jurgen
%E Clark, John Andrew
%E Cliff, Dave
%E Congdon, Clare Bates
%E Deb, Kalyanmoy
%E Doerr, Benjamin
%E Kovacs, Tim
%E Kumar, Sanjeev
%E Miller, Julian F.
%E Moore, Jason
%E Neumann, Frank
%E Pelikan, Martin
%E Poli, Riccardo
%E Sastry, Kumara
%E Stanley, Kenneth Owen
%E Stutzle, Thomas
%E Watson, Richard A
%E Wegener, Ingo
%I ACM Press
%K Applications: Poster, Real-World algorithms, architecture blocs, continuous controller design, elementary function genetic process, programming, recurrent time
%P 2265--2265
%T Controller design based on genetic programming
%U http://doi.acm.org/10.1145/1276958.1277400
%V 2
%X Three genetic programming-based approaches are
proposed for continuous-time process control design.
Two approaches are represented using a network of
interconnected continuous-time or discrete-time
elementary dynamic building blocs. In the third
approach the control algorithm is represented as a
recurrent function of discrete-time input variables.
@inproceedings{1277400,
abstract = {Three genetic programming-based approaches are
proposed for continuous-time process control design.
Two approaches are represented using a network of
interconnected continuous-time or discrete-time
elementary dynamic building blocs. In the third
approach the control algorithm is represented as a
recurrent function of discrete-time input variables.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {London},
author = {Sekaj, Ivan and Perkacz, Juraj and Palenik, Tomas},
biburl = {https://www.bibsonomy.org/bibtex/2431baac154e9695ab71138e9fed1cf10/brazovayeye},
booktitle = {GECCO '07: Proceedings of the 9th annual conference on
Genetic and evolutionary computation},
editor = {Thierens, Dirk and Beyer, Hans-Georg and Bongard, Josh and Branke, Jurgen and Clark, John Andrew and Cliff, Dave and Congdon, Clare Bates and Deb, Kalyanmoy and Doerr, Benjamin and Kovacs, Tim and Kumar, Sanjeev and Miller, Julian F. and Moore, Jason and Neumann, Frank and Pelikan, Martin and Poli, Riccardo and Sastry, Kumara and Stanley, Kenneth Owen and Stutzle, Thomas and Watson, Richard A and Wegener, Ingo},
interhash = {c74d55d31d18c76c4e93be220a94da20},
intrahash = {431baac154e9695ab71138e9fed1cf10},
isbn13 = {978-1-59593-697-4},
keywords = {Applications: Poster, Real-World algorithms, architecture blocs, continuous controller design, elementary function genetic process, programming, recurrent time},
month = {7-11 July},
notes = {GECCO-2007 A joint meeting of the sixteenth
international conference on genetic algorithms
(ICGA-2007) and the twelfth annual genetic programming
conference (GP-2007).
ACM Order Number 910071},
organisation = {ACM SIGEVO (formerly ISGEC)},
pages = {2265--2265},
publisher = {ACM Press},
publisher_address = {New York, NY, USA},
timestamp = {2008-06-19T17:51:19.000+0200},
title = {Controller design based on genetic programming},
url = {http://doi.acm.org/10.1145/1276958.1277400},
volume = 2,
year = 2007
}