Description

CI Methods for predictions in finance and water industry (FIWA)fiwaOfficialLarge

Extracting information and making reliable predictions from complex real-world data is a challenging task – especially in finance and water industry.  Methods from computational intelligence are developed, analyzed, and applied in this research project. These CI methods, namely genetic programming, complement classical statistical techniques from time-series analysis.

People

Thomas Bartz-BeielsteinOliver FlaschMartina FrieseBoris NaujoksJörg StorkMartin Zaefferer

Publications

2010

Flasch, Oliver; Bartz-Beielstein, Thomas; Davtyan, Arthur; Koch, Patrick; Konen, Wolfgang; Oyetoyan, Tosin Daniel; Tamutan, Michael

Comparing CI Methods for Prediction Models in Environmental Engineering Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Faculty of Computer Science and Engineering Science, Cologne University of Applied Sciences, Germany, (02/10), 2010, ISSN: 2191-365X.

Links | BibTeX

Bartz-Beielstein, Thomas; Flasch, Oliver; Koch, Patrick; Konen, Wolfgang

SPOT: A Toolbox for Interactive and Automatic Tuning of SearchHeuristics and Simulation Models in the R Environment Forschungsbericht

Cologne University of Applied Sciences 2010.

BibTeX

Ziegenhirt, Jörg; Bartz-Beielstein, Thomas; Flasch, Oliver; Konen, Wolfgang; Zaefferer, Martin

Optimization of Biogas Production with Computational Intelligence - A Comparative Study Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization and Data Mining) Cologne University of Applied Science, Faculty of Computer Science and Engineering Science, (03/10), 2010, ISSN: 2191-365X.

Links | BibTeX

Bartz-Beielstein, Thomas

SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization Forschungsbericht

Research Center CIOP (Computational Intelligence, Optimization andData Mining) Cologne University of Applied Science, Faculty of Computer Scienceand Engineering Science, (05/10), 2010, ISSN: 2191-365X, (Comments: Related software can be downloaded from http://cran.r-project.org/web/packages/SPOT/index.html).

Links | BibTeX

2008

Bartz-Beielstein, Thomas; Preuss, Mike

Experimental research in evolutionary computation Inproceedings

GECCO (Companion), S. 2517-2534, 2008.

BibTeX