2016
@InProceedings{Frie16b,
author = {Martina Friese and Thomas Bartz-Beielstein and Michael Emmerich},
title = {Building Ensembles of Surrogates by Optimal Convex Combination},
booktitle = {Bioinspired Optimization Methods and their Applications},
year = {2016},
editor = {Gregor Papa and Marjan Mernik},
pages = {131-143},
abstract = {When using machine learning techniques for learning a function approximation from given data it can be difficult to select the right modelling technique.
Without preliminary knowledge about the function it might be beneficial if the algorithm could learn all models by itself and select the model that suits best to the problem, an approach known as automated model selection. We propose a generalization of this approach that also allows to combine the predictions of several surrogate models into one more accurate ensemble surrogate model. This approach is studied in a fundamental way, by first evaluating minimalistic ensembles of only two surrogate models in detail and then proceeding to ensembles with more surrogate models. The results show to what extent combinations of models can perform better than single surrogate models and provide insights into the scalability and robustness of the approach. The focus is on multi-modal functions which are important in surrogate-assisted global optimization.},
keywords = {Ensemble Methods, Function Approximation, Global Optimization, Model Selection, Surrogate Models}
}
2015
@techreport{FlaschFrieseZaeffereretal.2015,
author = {Oliver Flasch and Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Jürgen Branke},
title = {Learning Model-Ensemble Policies with Genetic Programming},
institution = {Fakult{\"a}t 10 / Institut f{\"u}r Informatik},
series = {CIplus},
number = {3/2015},
year = {2015},
url = {http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:832-cos-787},
}
2013
Martina Friese, Jörg Stork, Ricardo Ramos Guerr, Thomas Bartz-Beielstein, Soham Thaker, Oliver Flasch, Martin Zaefferer, “
UniFIeD Univariate Frequency-based Imputation for Time Series Data,” CIplus, TR 5/2013, 2013.
@techreport{FrieseStorkRamosGuerraetal.2013,
author = {Martina Friese and J{\"o}rg Stork and Ricardo Ramos Guerra and Thomas Bartz-Beielstein and Soham Thaker and Oliver Flasch and Martin Zaefferer},
title = {UniFIeD Univariate Frequency-based Imputation for Time Series Data},
institution = {Fakult{\"a}t 10 / Institut f{\"u}r Informatik},
series = {CIplus},
number = {5/2013},
year = {2013},
url = {http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:832-cos-493},
}
2012
M. Zaefferer T. Bartz-Beielstein, M. Friese, B. Naujoks, and O. Flasch, “MSPOT: Multi-Criteria Sequential Optimization,” CIplus, TR 2/2012, 2012.
@TECHREPORT{Zaef12b,
author = {Zaefferer, M.and Bartz-Beielstein, T. and Friese, M. and Naujoks, B. and Flasch, O.},
title = {MSPOT: Multi-Criteria Sequential Optimization},
institution = {{CI}plus},
year = {2012},
number = {TR 2/2012},
month = {January},
keywords = {FiwaSoma, bartz, publi},
owner = {bartz},
timestamp = {2012.05.26}
}
M. Friese, T. Bartz-Beielstein, K. Vladislavleva, O. Flasch, O. Mersmann, B. Naujoks, J. Stork, and M. Zaefferer, “Ensemble-Based Model Selection for Smart Metering Data (Abstract),” CIplus2012.
@TECHREPORT{Frie12a,
author = {Martina Friese and Thomas Bartz-Beielstein and Katya Vladislavleva and Oliver Flasch and Olaf Mersmann and Boris Naujoks and J{\"o}rg Stork and Martin Zaefferer},
title = {Ensemble-Based Model Selection for Smart Metering Data (Abstract)},
institution = {{CI}plus},
year = {2012},
date-added = {2012-09-08 07:20:42 +0000},
date-modified = {2012-09-08 07:20:42 +0000},
keywords = {bartz, FiwaSoma, public},
owner = {Jörg},
timestamp = {2012.09.11}
}
T. Bartz-Beielstein, M. Friese, B. Naujoks, and M. Zaefferer, “SPOT Applied to Non-Stochastic Optimization Problems—An Experimental Study,” in GECCO 2012 Late breaking abstracts workshop, Philadelphia, Pennsylvania, USA, 2012, pp. 645-646.
@INPROCEEDINGS{Bart12d,
author = {Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Martin Zaefferer},
title = {{SPOT} Applied to Non-Stochastic Optimization Problems---An Experimental Study},
booktitle = {GECCO 2012 Late breaking abstracts workshop},
year = {2012},
editor = {Katya Rodriguez and Christian Blum},
pages = {645--646},
address = {Philadelphia, Pennsylvania, USA},
month = {July},
publisher = {ACM},
bdsk-url-1 = {http://dx.doi.org/10.1145/2330784.2330901},
doi = {doi:10.1145/2330784.2330901},
isbn = {978-1-4503-1178-6},
keywords = {FiwaSoma, bartz, public},
notes = {Also known as \cite{2330901} Distributed at GECCO-2012. ACM Order Number 910122.},
organisation = {SIGEVO},
owner = {bartz},
publisher_address = {New York, NY, USA},
timestamp = {2012.05.26}
}
M. Zaefferer, T. Bartz-Beielstein, M. Friese, B. Naujoks, and O. Flasch, “Multi-Criteria Optimization for Hard Problems under Limited Budgets,” in GECCO Companion ’12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion, Philadelphia, Pennsylvania, USA, 2012, pp. 1451-1452.
@INPROCEEDINGS{Zaef12a,
author = {Martin Zaefferer and Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Oliver Flasch},
title = {Multi-Criteria Optimization for Hard Problems under Limited Budgets},
booktitle = {GECCO Companion '12: Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion},
year = {2012},
editor = {Terry Soule and Anne Auger and Jason Moore and David Pelta and Christine Solnon and Mike Preuss and Alan Dorin and Yew-Soon Ong and Christian Blum and Dario Landa Silva and Frank Neumann and Tina Yu and Aniko Ekart and Wil Browne and Tim Kovacs and Man-Leung Wong and Clara Pizzuti and Jon Rowe and Tobias Friedrich and Giovanni Squillero and Nicolas Bredeche and Stephen Smith and Alison Motsinger-Rei and Jose Lozano and Martin Pelikan and Silja Meyer-Nienber and Christian Igel and Greg Hornby and Rene Doursat and Steve Gustafson and Gustavo Olague and Shin Yoo and John Clark and Gabriela Ochoa and Gisele Pappa and Fernando Lobo and Daniel Tauritz and Jurgen Branke and Kalyanmoy Deb},
pages = {1451--1452},
address = {Philadelphia, Pennsylvania, USA},
month = {July},
publisher = {ACM},
abstract = {Many relevant industrial optimization tasks feature more than just one quality criterion. State-of-the-art multi-criteria optimization algorithms require a relatively large number of function evaluations (usually more than 10^5) to approximate Pareto fronts. Due to high cost or time consumption this large amount of function evaluations is not always available. Therefore, it is obvious to combine techniques such as Sequential Parameter Optimization (SPO), which need a very small number of function evaluations only, with techniques from evolutionary multi-criteria optimization (EMO). In this paper, we show how EMO techniques can be efficiently integrated into the framework of the SPO Toolbox (SPOT). We discuss advantages of this approach in comparison to state-of-the-art optimizers. Moreover, with the resulting capability to allow competing objectives, the opportunity arises to not only aim for the best, but also for the most robust solution. Herein we present an approach to optimize not only the quality of the solution, but also its robustness, taking these two goals as objectives for multi-criteria optimization into account.},
bdsk-url-1 = {http://dx.doi.org/10.1145/2330784.2330984},
doi = {doi:10.1145/2330784.2330984},
isbn = {978-1-4503-1178-6},
keywords = {FiwaSoma, bartz, public},
notes = {Also known as \cite{2330984} Distributed at GECCO-2012. ACM Order Number 910122.},
organisation = {SIGEVO},
owner = {bartz},
publisher_address = {New York, NY, USA},
timestamp = {2012.05.26}
}
2011
M. Friese, M. Zaefferer, T. Bartz-Beielstein, O. Flasch, P. Koch, W. Konen, and B. Naujoks, “Ensemble Based Optimization and Tuning Algorithms,” in Proceedings 21. Workshop Computational Intelligence, 2011, pp. 119-134.
@INPROCEEDINGS{Frie11a,
author = {Martina Friese and Martin Zaefferer and Thomas Bartz-Beielstein and Oliver Flasch and Patrick Koch and Wolfgang Konen and Boris Naujoks},
title = {Ensemble Based Optimization and Tuning Algorithms},
booktitle = {Proceedings 21. Workshop Computational Intelligence},
year = {2011},
editor = {F. Hoffmann and E. H{\"u}llermeier},
pages = {119--134},
publisher = {Universit{\"a}tsverlag Karlsruhe},
keywords = {FiwaSoma, bartz, public},
owner = {thomasbartz-beielstein},
timestamp = {2011.10.31}
}
T. Bartz-Beielstein, M. Friese, M. Zaefferer, B. Naujoks, O. Flasch, W. Konen, and P. Koch, “Noisy optimization with sequential parameter optimization and optimal computational budget allocation,” in Proceedings of the 13th annual conference companion on Genetic and evolutionary computation, New York, NY, USA, 2011, pp. 119-120.
@INPROCEEDINGS{Bart11b,
author = {Bartz-Beielstein, Thomas and Friese, Martina and Zaefferer, Martin and Naujoks, Boris and Flasch, Oliver and Konen, Wolfgang and Koch, Patrick},
title = {Noisy optimization with sequential parameter optimization and optimal computational budget allocation},
booktitle = {Proceedings of the 13th annual conference companion on Genetic and evolutionary computation},
year = {2011},
series = {GECCO '11},
pages = {119--120},
address = {New York, NY, USA},
publisher = {ACM},
acmid = {2001926},
bdsk-url-1 = {http://doi.acm.org/10.1145/2001858.2001926},
bdsk-url-2 = {http://dx.doi.org/10.1145/2001858.2001926},
doi = {10.1145/2001858.2001926},
isbn = {978-1-4503-0690-4},
keywords = {FiwaSoma, public, bartz},
location = {Dublin, Ireland},
numpages = {2},
owner = {wolfgang},
timestamp = {2011.11.15},
url = {http://doi.acm.org/10.1145/2001858.2001926}
}
T. Bartz-Beielstein and M. Friese, “Sequential Parameter Optimization and Optimal Computational Budget Allocation for Noisy Optimization Problems,” Research Center CIOP (Computational Intelligence, Optimization andData Mining), Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, CIOP Technical Report 02/11, 2011.
@TECHREPORT{Bart11a,
author = {Thomas Bartz-Beielstein and Martina Friese},
title = {Sequential Parameter Optimization and Optimal Computational Budget Allocation for Noisy Optimization Problems},
institution = {Research Center CIOP (Computational Intelligence, Optimization andData Mining)},
year = {2011},
type = {{CIOP} Technical Report},
number = {02/11},
address = {Cologne University of Applied Science, Faculty of Computer Science and Engineering Science},
month = {January},
bdsk-url-1 = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf},
file = {:http\://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf:PDF},
issn = {2191-365X},
keywords = {FiwaSoma, bartz, public},
owner = {bartz},
timestamp = {2011.01.13},
url = {http://maanvs03.gm.fh-koeln.de/webpub/CIOPReports.d/Bart11a.d/Bart11a.pdf}
}