Publications

@inproceedings{Flas12b,

title = {Sequential Parameter Optimization for Symbolic Regression},

author = {Thomas Bartz-Beielstein and Oliver Flasch and Martin Zaefferer},

editor = {Steven Gustafson and Ekaterina Vladislavleva},

isbn = {978-1-4503-1178-6},

year  = {2012},

date = {2012-01-01},

booktitle = {GECCO 2012 Symbolic regression and modeling workshop},

pages = {495--496},

publisher = {ACM},

address = {Philadelphia, Pennsylvania, USA},

abstract = {Modern Symbolic Regression (SR) engines are complex systems of many components, most of which require some form of parameterization. In this talk, we show how to apply Sequential Parameter Optimization (SPO) as a rigorous method for finding near-optimal parameter settings for SR systems. As modern SR systems often offer alternative operator sets for population initialization, variation, and selection, we also demonstrate how to use modern Design of Experiments (DoE) methods to find problem-specific near-optimal SR system configurations, in addition to near-optimal parameterizations for each selected system component. The experimental design for SR can somehow be tricky, because of interactions in the parameter settings. Methods for handling configurations of parameters which depend on higher-level parameters will be presented. Our exposition is based on a simple framework for statistical sound, reproducible empirical research in SR.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bart12d,

title = {SPOT Applied to Non-Stochastic Optimization Problems---An Experimental Study},

author = {Thomas Bartz-Beielstein and Martina Friese and Boris Naujoks and Martin Zaefferer},

editor = {Katya Rodriguez and Christian Blum},

isbn = {978-1-4503-1178-6},

year  = {2012},

date = {2012-01-01},

booktitle = {GECCO 2012 Late breaking abstracts workshop},

pages = {645--646},

publisher = {ACM},

address = {Philadelphia, Pennsylvania, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{Bart11b,

title = {Noisy optimization with sequential parameter optimization and optimal computational budget allocation},

author = {Bartz-Beielstein, Thomas and Friese, Martina and Zaefferer, Martin and Naujoks, Boris and Flasch, Oliver and Konen, Wolfgang and Koch, Patrick},

url = {http://doi.acm.org/10.1145/2001858.2001926},

isbn = {978-1-4503-0690-4},

year  = {2011},

date = {2011-01-01},

booktitle = {Proceedings of the 13th annual conference companion on Genetic and evolutionary computation},

pages = {119--120},

publisher = {ACM},

address = {Dublin, Ireland},

series = {GECCO '11},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{Frie11a,

title = {Ensemble Based Optimization and Tuning Algorithms},

author = {Friese, Martina and Zaefferer, Martin and Bartz-Beielstein, Thomasand Flasch, Oliver and Koch, Patrick and Konen, Wolfgang and Naujoks, Boris},

editor = {Hoffmann, Frank and Hüllermeier, Eyke},

year  = {2011},

date = {2011-01-01},

booktitle = {Proceedings 21. Workshop Computational Intelligence},

pages = {119--134},

publisher = {Universitätsverlag Karlsruhe},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}