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Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Online Selection of Surrogate Models for Constrained Black-Box Optimization Proceedings Article
In: Jin, Yaochu (Hrsg.): SSCI'2016, Athens, S. 1, IEEE, 2016, (Best Student Paper Award).
@inproceedings{Bagh16c,
title = {Online Selection of Surrogate Models for Constrained Black-Box Optimization},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Yaochu Jin},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh16-SSCI.pdf},
year = {2016},
date = {2016-12-01},
booktitle = {SSCI'2016, Athens},
pages = {1},
publisher = {IEEE},
note = {Best Student Paper Award},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
22.
Bagheri, Samineh; Konen, Wolfgang; Bäck, Thomas
Equality Constraint Handling for Surrogate-Assisted Constrained Optimization Proceedings Article
In: Tan, Kay Chen (Hrsg.): WCCI'2016, Vancouver, S. 1, IEEE, 2016.
@inproceedings{Bagh16a,
title = {Equality Constraint Handling for Surrogate-Assisted Constrained Optimization},
author = {Samineh Bagheri and Wolfgang Konen and Thomas Bäck},
editor = {Kay Chen Tan},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh16-WCCI.pdf},
year = {2016},
date = {2016-07-01},
booktitle = {WCCI'2016, Vancouver},
pages = {1},
publisher = {IEEE},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
23.
Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Koch, Patrick
SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 25. Workshop Computational Intelligence, S. 87-98, Universitätsverlag Karlsruhe, 2015, (Young Author Award GMA-CI).
@inproceedings{Bagh15b,
title = {SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF},
author = {Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas Bäck and Patrick Koch},
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Bagh15-GMA-CI.pdf},
year = {2015},
date = {2015-11-01},
booktitle = {Proceedings 25. Workshop Computational Intelligence},
pages = {87-98},
publisher = {Universitätsverlag Karlsruhe},
note = {Young Author Award GMA-CI},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
24.
Koch, Patrick; Bagheri, Samineh; Konen, Wolfgang; Foussette, Christophe; Krause, Peter; Bäck, Thomas
A New Repair Method For Constrained Optimization Proceedings Article
In: Jiménez-Laredo, Juan Luis (Hrsg.): Proceedings of the 17th Genetic and Evolutionary Computation Conference, 2015, (accepted).
@inproceedings{Koch15a,
title = {A New Repair Method For Constrained Optimization},
author = {Patrick Koch and Samineh Bagheri and Wolfgang Konen and Christophe Foussette and Peter Krause and Thomas Bäck},
editor = {Juan Luis Jiménez-Laredo},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the 17th Genetic and Evolutionary Computation Conference},
series = {GECCO'15},
note = {accepted},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
25.
Konen, Wolfgang
The rCMA Tutorial: Examples for using CMA-ES in R Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, 2015.
@techreport{Kone15b,
title = {The rCMA Tutorial: Examples for using CMA-ES in R},
author = {Konen, Wolfgang},
url = {http://www.gm.fh-koeln.de/ciopwebpub/Kone15b.d/rCMA-tutorial.pdf},
year = {2015},
date = {2015-00-01},
address = {Cologne University of Applied Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
26.
Koch, Patrick; Bagheri, Samineh; Foussette, Christophe; Krause, Peter; Bäck, Thomas; Konen, Wolfgang
Constrained Optimization with a Limited Number of Function Evaluations Proceedings Article
In: Hoffmann, Frank; Hüllermeier, Eyke (Hrsg.): Proceedings 24. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2014, (Young Author Award GMA-CI).
@inproceedings{Koch14a,
title = {Constrained Optimization with a Limited Number of Function Evaluations},
author = {Patrick Koch and Samineh Bagheri and Christophe Foussette and Peter Krause and Thomas Bäck and Wolfgang Konen },
editor = {Frank Hoffmann and Eyke Hüllermeier},
url = {http://www.gm.fh-koeln.de/~konen/Publikationen/Koch2014a-GMA-CI.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings 24. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
note = {Young Author Award GMA-CI},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
27.
Bartz-Beielstein, Thomas; Preuss, Mike; Zaefferer, Martin
Statistical Analysis of Optimization Algorithms with R Proceedings Article
In: Ochoa, Gabriela (Hrsg.): GECCO 2012 Specialized techniques and applications tutorials, S. 1259–1286, ACM, Philadelphia, Pennsylvania, USA, 2012, ISBN: 978-1-4503-1178-6.
@inproceedings{Bart12f,
title = {Statistical Analysis of Optimization Algorithms with R},
author = {Thomas Bartz-Beielstein and Mike Preuss and Martin Zaefferer},
editor = {Gabriela Ochoa},
isbn = {978-1-4503-1178-6},
year = {2012},
date = {2012-01-01},
booktitle = {GECCO 2012 Specialized techniques and applications tutorials},
pages = {1259--1286},
publisher = {ACM},
address = {Philadelphia, Pennsylvania, USA},
abstract = {Based on experiences from several (rather theoretical) tutorials and workshops devoted to the experimental analysis of algorithms at the world's leading conferences in the field of Computational Intelligence, a practical, hands-on tutorial for the statistical analysis of optimization algorithms is presented. This tutorial -demonstrates how to analyze results from real experimental studies, e.g., experimental studies in EC -item gives a comprehensive introduction in the R language -item introduces the powerful GUI rstudio (http://rstudio.org) -exemplifies the analysis using SPOT (http://cran.r-project.org/web/packages/SPOT/) R is the most attractive and fastest growing open source computer language for statistical computing and graphics in the world. It provides a wide variety of statistical and graphical techniques: linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, etc. R is distributed over CRAN (http://cran.r-project.org), which is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Based on experiences from several (rather theoretical) tutorials and workshops devoted to the experimental analysis of algorithms at the world's leading conferences in the field of Computational Intelligence, a practical, hands-on tutorial for the statistical analysis of optimization algorithms is presented. This tutorial -demonstrates how to analyze results from real experimental studies, e.g., experimental studies in EC -item gives a comprehensive introduction in the R language -item introduces the powerful GUI rstudio (http://rstudio.org) -exemplifies the analysis using SPOT (http://cran.r-project.org/web/packages/SPOT/) R is the most attractive and fastest growing open source computer language for statistical computing and graphics in the world. It provides a wide variety of statistical and graphical techniques: linear and nonlinear modeling, statistical tests, time series analysis, classification, clustering, etc. R is distributed over CRAN (http://cran.r-project.org), which is a network of ftp and web servers around the world that store identical, up-to-date, versions of code and documentation for R.
28.
Friese, Martina; Zaefferer, Martin; Bartz-Beielstein, Thomas; Flasch, Oliver; Koch, Patrick; Konen, Wolfgang; Naujoks, Boris
Ensemble Based Optimization and Tuning Algorithms Proceedings Article
In: Hoffmann, F.; Hüllermeier, E. (Hrsg.): Proceedings 21. Workshop Computational Intelligence, S. 119–134, Universitätsverlag Karlsruhe, 2011.
@inproceedings{Frie11ab,
title = {Ensemble Based Optimization and Tuning Algorithms},
author = {Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen and Boris Naujoks},
editor = {F. Hoffmann and E. Hüllermeier},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings 21. Workshop Computational Intelligence},
pages = {119--134},
publisher = {Universitätsverlag Karlsruhe},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
29.
Bartz--Beielstein, Thomas; Preuß, Mike
Experimental Analysis of Optimization Algorithms: Tuning and Beyond Buchabschnitt
In: Borenstein, Yossi; Moraglio, Alberto (Hrsg.): Theory and Principled Methods for Designing Metaheuristics, Springer, Berlin, Heidelberg, New York, 2011, (accepted).
@incollection{Bart11j,
title = {Experimental Analysis of Optimization Algorithms: Tuning and Beyond},
author = {Thomas Bartz--Beielstein and Mike Preuß},
editor = {Yossi Borenstein and Alberto Moraglio},
year = {2011},
date = {2011-01-01},
booktitle = {Theory and Principled Methods for Designing Metaheuristics},
publisher = {Springer},
address = {Berlin, Heidelberg, New York},
note = {accepted},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
30.
Flasch, Oliver; Bartz-Beielstein, Thomas; 1, Daniel Bicker; Kantschik, Wolfgang; von Strachwitz, Christian
Results of the GECCO 2011 Industrial Challenge: Optimizing Foreign Exchange Trading Strategies Forschungsbericht
Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, Nr. 10/11, 2011, ISSN: 2191-365X.
@techreport{Flas11ab,
title = {Results of the GECCO 2011 Industrial Challenge: Optimizing Foreign Exchange Trading Strategies},
author = {Oliver Flasch and Thomas Bartz-Beielstein and Daniel Bicker 1 and Wolfgang Kantschik and Christian von Strachwitz},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Flas11a.d/Flas11a.pdf},
issn = {2191-365X},
year = {2011},
date = {2011-01-01},
number = {10/11},
address = {Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science},
institution = {Research Center CIOP (Computational Intelligence, Optimization and Data Mining)},
keywords = {},
pubstate = {published},
tppubtype = {techreport}
}
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