[[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 == === Applied Artificial Intelligence Journal === Taylor & Francis The publication "Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval" has been submitted to this journal. Test Instances: [export:/misc/publications/2015/journals/AAI/Format_Description.txt Instance file format description] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_1_1.txt Instance 1.1] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_1_2.txt Instance 1.2] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_1_3.txt Instance 1.3] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_2_1.txt Instance 2.1] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_2_2.txt Instance 2.2] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_2_3.txt Instance 2.3] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_3_1.txt Instance 3.1] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_3_2.txt Instance 3.2] [[BR]] [export:/misc/publications/2015/journals/AAI/Instance_3_3.txt Instance 3.3] Source code implemented in HeuristicLab: [export:/misc/publications/2015/journals/AAI/Stacking_Problem.hl HeuristicLab 3.3 Script] === Annals of Operations Research === The publication "Distribution of Waiting Time for Dynamic Pickup and Delivery Problems" to this journal is currently in review. The following additional material is provided: [export:/misc/publications/2013/journals/ANOR/TestEnvironment.zip Test Environment (Executable including Sample)] [export:/misc/publications/2013/journals/ANOR/Source.zip Source code of the waiting strategies] [export:/misc/publications/2013/journals/ANOR/BenchmarkInstances.zip Benchmark Instances] === IEEE Transactions on Industrial Informatics === A publication to this journal is currently accepted, but still in review. The described experiments shall be made available as follows. For running the simulation model, MatPower is needed with Matlab (link below). The HeuristicLab file contains the optimization runs as well as results that have been analyzed within this paper. ==== Simulation Model & Optimization Experiments ==== Simulation File for Matlab [export:/misc/publications/2012/journals/IEEE_TII/EvalSolutionTC4.m Simulation Model] Matpower Data File [export:/misc/publications/2012/journals/IEEE_TII/ieeecase118.m 118-Bus Data File] HeuristicLab 3.3 Experiment Files [export:/misc/publications/2012/journals/IEEE_TII/AllExperimentsTII.hl HeuristicLab Experiments Collection] ==== 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.pserc.cornell.edu/matpower/ MATPOWER] - A MATLAB Power System Simulation Package, retrieved 11.1.2013 [http://code.google.com/apis/protocolbuffers/docs/overview.html Protocol buffers], retrieved 11.1.2013 [http://www.mathworks.de/de/help/matlab/call-matlab-com-automation-server.html Matlab Automation Server], retrieved 11.1.2013 === International Journal of Simulation and Process Modelling === A publication to this journal is currently accepted with revision. Data set containing preprocessed time series of Spanish stocks: [export:/misc/publications/2015/journals/IJSPM/spanish_stock_data_3class.csv spanish_stock_data_3class.csv] ---- == 2016 == === EMSS 2016 === 28th European Modeling & Simulation Symposium, 26th to 28th September, 2016, Larnaca, Cyprus ==== Analysis of Uncertainty in Engineering Design Optimization Problems ==== Problem Implementation [export:"/misc/publications/2016/conferences/I3M/fleck/Problems/PressureVessel Programmable Problem.hl" PressureVessel.hl] [[BR]] [export:"/misc/publications/2016/conferences/I3M/fleck/Problems/SpeedReducer Programmable Problem.hl" SpeedReducer.hl] [[BR]] [export:"/misc/publications/2016/conferences/I3M/fleck/Problems/TensionCompressionSpring Programmable Problem.hl" TensionCompressionSpring.hl] [[BR]] [export:"misc/publications/2016/conferences/I3M/fleck/Problems/WeldedBeam Programmable Problem.hl" WeldedBeam.hl] [[BR]] Solved Problems Experiment [export:"/misc/publications/2016/conferences/I3M/fleck/Optimize all Problems Experiment.hl" Optimize all Problems Experiment.hl] [[BR]] Result Tables [export:"/misc/publications/2016/conferences/I3M/fleck/Literature Solutions.xlsx" Solutions.xlsx] [[BR]] [export:"/misc/publications/2016/conferences/I3M/fleck/Deterministic vs Uncertain Comparison.xlsx" Uncertainty Comparison.xlsx] [[BR]] ---- == 2014 == === PPSN 2014 === 13th International Conference on Parallel Problem Solving from Nature, 13th to 17th September, 2014, Ljubljana, Slovenia ==== Tutorial Algorithm and Experiment Design with HeuristicLab ==== [export:/misc/publications/2014/conferences/PPSN/swagner/slides.pdf Tutorial slides] Demo experiment and results: [export:/misc/publications/2014/conferences/PPSN/swagner/exp.hl exp.hl] [export:/misc/publications/2014/conferences/PPSN/swagner/exp_results.hl exp_results.hl] Symbolic Regression Dataset: [export:/misc/publications/2014/conferences/PPSN/swagner/ppsn2014.csv ppsn2014.csv] ---- == 2013 == === GPTP 2013 === Genetic Programming Theory and Practice Workshop, 9th to 11th May, 2013, Ann Arbor, USA ==== Gaining Deeper Insights in Symbolic Regression: Theoretical and Practical Issues (Keynote) ==== [export:/misc/publications/2013/conferences/GPTP/maffenze/GPTP_slides.pdf Slides] ==== Tutorial Algorithm and Experiment Design with HeuristicLab ==== [export:/misc/publications/2013/conferences/GPTP/swagner/slides.pdf Tutorial slides] Demo experiment and results: [export:/misc/publications/2013/conferences/GPTP/swagner/exp.hl exp.hl] [export:/misc/publications/2013/conferences/GPTP/swagner/exp_results.hl exp_results.hl] === GECCO 2013 === Genetic and Evolutionary Computation Conference, July 6th to 10th, 2013, Amsterdam, Netherlands ==== Effects of Constant Optimization by Nonlinear Least Squares Minimization in Symbolic Regression ==== [export:"/misc/publications/2013/conferences/GECCO/mkommend/Presentation Gecco 2013.pdf" "Slides"] Experiments and Results: [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Friedman-2.hl" "Friedman-2.hl"] [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Keijzer-6.hl" "Keijzer-6.hl"] [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Nguyen-7.hl" "Nguyen-7.hl"] [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Pagie-1.hl" "Pagie-1.hl"] [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Poly-10.hl" "Poly-10.hl"] [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Tower.hl" "Tower.hl"] [[BR]] [export:"/misc/publications/2013/conferences/GECCO/mkommend/Experiment - Vladislavleva-4.hl" "Vladislavleva-4.hl"] [[BR]] ---- == 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] === 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\\