[[PageOutline]] = Additional Material for Publications = This page contains a collection of additional material related to publications of members of the research group HEAL. == In process == === IEEE Transactions on Industrial Informatics === A publication to this journal is currently accepted, but still in review. The described experiments will become available here for download and further links will be given. == 2012 == === ECML-PKDD 2012 === European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September 24th to 28th, 2012, Bristol, UK ==== HeuristicLab Demo: Knowledge Discovery through Symbolic Regression with HeuristicLab ==== All material is available at the dedicated demo page http://dev.heuristiclab.com/AdditionalMaterial/ECML-PKDD === GECCO 2012 === Genetic and Evolutionary Computation Conference, 7th to 11th July, 2012, Philadelphia, USA ==== Tutorial Algorithm and Experiment Design with HeuristicLab ==== [export:/misc/publications/2012/conferences/GECCO/swagner/slides.pdf Tutorial slides] Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]. [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.tsp ch130.tsp] [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour] Demo experiment and results. [export:/misc/publications/2012/conferences/GECCO/swagner/exp.hl exp.hl] [export:/misc/publications/2012/conferences/GECCO/swagner/exp_results.hl exp_results.hl] Demo dataset for symbolic regression. [export:/misc/publications/2012/conferences/GECCO/gkronber/poly-10.csv poly-10.csv] Demo dataset for symbolic classification. [export:/misc/publications/2012/conferences/GECCO/gkronber/mammography.csv mammography.csv] === IEEE Transactions on Industrial Informatics === Special section on ''Software Engineering in Factory and Energy Automation'' ==== Simulation-based optimization with HeuristicLab ==== A description of how to provide an evaluation service for [http://www.xjtek.com/ AnyLogic] simulation models is given [wiki:UsersHowtosOptimizingAnyLogicModels here]. ==== Links ==== [http://www.interpss.org/ InterPSS] - Internet technology based Power System Simulator, retrieved 7.12.2011 [http://www.pserc.cornell.edu/matpower/ MATPOWER] - A MATLAB Power System Simulation Package, retrieved 7.12.2011 [http://code.google.com/apis/protocolbuffers/docs/overview.html Protocol buffers], retrieved 11.12.2011 === APCast 2012 === 14th International Asia Pacific Conference on Computer Aided System Theory, 6th to 8th February, 2012, Sydney, Australia ==== Tutorial Algorithm and Experiment Design with HeuristicLab ==== [export:/misc/publications/2012/conferences/APCast/swagner/slides.pdf Tutorial slides] Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]. [export:/misc/publications/2012/conferences/APCast/swagner/ch130.tsp ch130.tsp] [export:/misc/publications/2012/conferences/APCast/swagner/ch130.opt.tour ch130.opt.tour] Demo experiment and results. [export:/misc/publications/2012/conferences/APCast/swagner/exp.hl exp.hl] [export:/misc/publications/2012/conferences/APCast/swagner/exp_results.hl exp_results.hl] ---- == 2011 == === 13th International Conference on Computer Aided Systems Theory (eurocast) === ==== Tutorial Algorithm and Experiment Design with HeuristicLab ==== Demo dataset for symbolic regression. [export:/misc/publications/2011/conferences/eurocast/gkronber/polynomial.csv polynomial.csv] Demo dataset for symbolic time series modeling. [export:/misc/publications/2011/conferences/eurocast/gkronber/Mackey-Glass-17.txt Mackey-Glass-17.txt] === GECCO 2011 === ==== Tutorial Algorithm and Experiment Design with HeuristicLab ==== Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]. [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.tsp ch130.tsp] [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour] Demo experiment and results. [export:/misc/publications/2011/conferences/GECCO/swagner/exp.hl exp.hl] [export:/misc/publications/2011/conferences/GECCO/swagner/exp_results.hl exp_results.hl] Demo dataset for symbolic regression. [export:/misc/publications/2011/conferences/GECCO/gkronber/poly-10.csv poly-10.csv] Demo dataset for symbolic classification. [export:/misc/publications/2011/conferences/GECCO/gkronber/mammography.csv mammography.csv] === evo* 2011 === ==== Macro-economic Time Series Modeling and Interaction Networks ==== Data set of macro economic variables: [export:/misc/publications/2011/conferences/evoStar/gkronber/macroeconomicdata.txt 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. [export:/misc/publications/2011/conferences/GECCO/gkronber/poly-10.csv poly-10.csv] Demo dataset for symbolic classification. [export:/misc/publications/2011/conferences/GECCO/gkronber/mammography.csv 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: [export:/misc/publications/2011/conferences/LINDI/SKUsLindi.txt SKUsLindi.txt] Order profile: [export:/misc/publications/2011/conferences/LINDI/OrderProfileLINDI.txt 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 TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB]. [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.tsp ch130.tsp] [export:/misc/publications/2011/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour] Demo experiment and results. [export:/misc/publications/2011/conferences/GECCO/swagner/exp.hl exp.hl] [export:/misc/publications/2011/conferences/GECCO/swagner/exp_results.hl exp_results.hl] Demo dataset for symbolic regression. [export:/misc/publications/2011/conferences/GECCO/gkronber/poly-10.csv poly-10.csv] Demo dataset for symbolic classification. [export:/misc/publications/2011/conferences/GECCO/gkronber/mammography.csv mammography.csv] ---- == 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 [source:misc/publications/2010/conferences/EMSS/swagner here]. === Dissertation Kronberger === The following datasets are used in experiments in the thesis. ==== Artificial benchmark datasets ==== ===== Friedman-I ===== [export:/misc/publications/2010/theses/gkronber/friedman-I.csv friedman-I.csv] 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). [[Image(friedman-I.png)]] 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 ===== [export:/misc/publications/2010/theses/gkronber/friedman-II.csv friedman-II.csv] This dataset is also described in (Friedman, 1991). The signal-to-noise ratio in this dataset is larger compared to the Friedman-I function. [[Image(friedman-ii.png)]] Variables x1,..., x5 are sampled uniformly from the unit hypercube (x~U(0,1)). ===== Breiman-I ===== [export:/misc/publications/2010/theses/gkronber/breiman-I.csv breiman-I.csv] 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. [[Image(breiman-I.png)]] Epsilon is generated from the normal distribution (e~N(0,2)). Variables x01,..., x10 are randomly sampled attributes following the probability distributions: [[Image(breiman-I-variables.png)]] ==== Real-world datasets ==== ===== Chemical-I ===== [export:/misc/publications/2010/theses/gkronber/chemical-I.csv chemical-I.csv] ===== Chemical-II ===== [export:/misc/publications/2010/theses/gkronber/chemical-II.csv chemical-II.csv] ===== Financial-I ===== [export:/misc/publications/2010/theses/gkronber/financial-I.csv financial-I.csv] ===== Macro-Economic ===== [export:/misc/publications/2010/theses/gkronber/macro-economic.csv macro-economic.csv] ===== Housing ===== [export:/misc/publications/2010/theses/gkronber/housing.csv housing.csv] ==== 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\\