Version 37 (modified by mkommend, 8 years ago) (diff) |
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Additional Material for Publications
This page contains a collection of additional material related to publications of members of the research group HEAL.
2010
22nd European Modeling & Simulation Symposium (EMSS)
Mutation Effects in Genetic Algorithms with Offspring Selection Applied to Combinatorial Optimization Problems
Authors: S. Wagner, M. Affenzeller, A. Beham, G. Kronberger, S.M. Winkler
The HeuristicLab experiments described in the paper can be downloaded here.
Dissertation Kronberger
The following datasets are used in experiments in the thesis.
Artificial benchmark datasets
Friedman-I
This dataset is described in (Friedman, 1991), where it is used to benchmark the multi-variate adaptive regression splines (MARS) algorithm. The signal-to-noise ratio in this dataset is rather low, so it is difficult to rediscover the generating function f(x) especially the terms below the noise level (x4 and x5).
Variables x01,..., x10 are sampled uniformly from the unit hypercube (x~U(0,1)). Epsilon is generated from the standard normal distribution (e~N(0,1)).
Friedman-II
This dataset is also described in (Friedman, 1991). The signal-to-noise ratio in this dataset is larger compared to the Friedman-I function.
Variables x1,..., x5 are sampled uniformly from the unit hypercube (x~U(0,1)).
Breiman-I
This dataset is described in (Breiman et al., 1984), where it is used to benchmark the classification and regression trees (CART) algorithm. The signal-to-noise ratio is rather low and additionally it contains a crisp conditional which makes it rather difficult to rediscover the generating function with a symbolic regression approach.
Epsilon is generated from the normal distribution (e~N(0,2)).
Variables x01,..., x10 are randomly sampled attributes following the probability distributions:
Real-world datasets
Chemical-I
Chemical-II
Financial-I
Macro-Economic
Housing
References
Jerome H. Friedman, Multivariate adaptive regression splines, The Annals of Statistics, 19(1):1-141, 1991.
Leo Breiman, Jerome H. Friedman, Charles J. Stone and R. A. Olson, Classification and Regression Trees, Chapman and Hall, 1984
2011
13th International Conference on Computer Aided Systems Theory (eurocast)
Tutorial Algorithm and Experiment Design with HeuristicLab
Demo dataset for symbolic regression. polynomial.csv
Demo dataset for symbolic time series modeling. Mackey-Glass-17.txt
GECCO 2011
Tutorial Algorithm and Experiment Design with HeuristicLab
Demo TSP instance from TSPLIB. ch130.tsp ch130.opt.tour
Demo experiment and results. exp.hl exp_results.hl
Demo dataset for symbolic regression. poly-10.csv
Demo dataset for symbolic classification. mammography.csv
evo* 2011
Macro-economic Time Series Modeling and Interaction Networks
Data set of macro economic variables: macroeconomicdata.txt
ICCGI 2011
6th International Multi-Conference on Computing in the Global Information Technology, 19th of June, 2011, Luxemburg
Tutorial Algorithm and Experiment Design with HeuristicLab
Demo dataset for symbolic regression. poly-10.csv
Demo dataset for symbolic classification. mammography.csv
LINDI 2011
3rd IEEE International Symposium on Logistics and Industrial Informatics, August 25-27, 2011 in Budapest, Hungary
Demo dataset for warehouse slotting
Stock keeping units: SKUsLindi.txt
Order profile: OrderProfileLindi.txt
IMMM 2011
1st International Conference on Advances in Information Mining and Management, 23th of October, 2011, Barcelona
System Identification and Data Mining with HeuristicLab
Demo dataset for symbolic regression. poly-10.csv
Demo dataset for symbolic classification. mammography.csv
Attachments (4)
- friedman-I.png (5.2 KB) - added by gkronber 9 years ago.
- breiman-I.png (7.0 KB) - added by gkronber 9 years ago.
- breiman-I-variables.png (6.9 KB) - added by gkronber 9 years ago.
- friedman-ii.png (8.1 KB) - added by gkronber 9 years ago.
Download all attachments as: .zip