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Changes between Version 45 and Version 46 of AdditionalMaterial


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06/28/12 10:47:19 (12 years ago)
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gkronber
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  • AdditionalMaterial

    v45 v46  
    33This page contains a collection of additional material related to publications of members of the research group HEAL.
    44
    5 == 2010 ==
     5== 2012 ==
    66
    7 === 22nd European Modeling & Simulation Symposium (EMSS) ===
     7=== GECCO 2012 ===
     8Genetic and Evolutionary Computation Conference,
     97th to 11th July, 2012, Philadelphia, USA
    810
    9 ==== Mutation Effects in Genetic Algorithms with Offspring Selection Applied to Combinatorial Optimization Problems ====
     11==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
     12   [export:/misc/publications/2012/conferences/GECCO/swagner/slides.pdf Tutorial slides]
    1013
    11 Authors: S. Wagner, M. Affenzeller, A. Beham, G. Kronberger, S.M. Winkler
     14   Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB].
     15   [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.tsp ch130.tsp]
     16   [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour]
    1217
    13 The !HeuristicLab experiments described in the paper can be downloaded [source:misc/publications/2010/conferences/EMSS/swagner here].
     18   Demo experiment and results.
     19   [export:/misc/publications/2012/conferences/GECCO/swagner/exp.hl exp.hl]
     20   [export:/misc/publications/2012/conferences/GECCO/swagner/exp_results.hl exp_results.hl]
    1421
    15 === Dissertation Kronberger ===
    16 The following datasets are used in experiments in the thesis.
    17 ==== Artificial benchmark datasets ====
    18 ===== Friedman-I =====
    19 [export:/misc/publications/2010/theses/gkronber/friedman-I.csv friedman-I.csv]
     22   Demo dataset for symbolic regression.
     23   [export:/misc/publications/2012/conferences/GECCO/gkronber/poly-10.csv poly-10.csv]
    2024
    21 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).
     25   Demo dataset for symbolic classification.
     26   [export:/misc/publications/2012/conferences/GECCO/gkronber/mammography.csv mammography.csv]
    2227
    23 [[Image(friedman-I.png)]]
     28=== IEEE Transactions on Industrial Informatics ===
     29Special section on ''Software Engineering in Factory and Energy Automation''
    2430
    25 Variables x01,..., x10 are sampled uniformly from the unit hypercube (x~U(0,1)).
    26 Epsilon is generated from the standard normal distribution (e~N(0,1)).
     31==== Simulation-based optimization with HeuristicLab ====
     32    A description of how to provide an evaluation service for [http://www.xjtek.com/ AnyLogic] simulation models is given [wiki:UsersHowtosOptimizingAnyLogicModels here].
    2733
    28 ===== Friedman-II =====
    29      [export:/misc/publications/2010/theses/gkronber/friedman-II.csv friedman-II.csv]
     34==== Links ====
     35    [http://www.interpss.org/ InterPSS] - Internet technology based Power System Simulator, retrieved 7.12.2011
    3036
    31 This dataset is also described in (Friedman, 1991). The signal-to-noise ratio in this dataset is larger compared to the Friedman-I function.
     37    [http://www.pserc.cornell.edu/matpower/ MATPOWER] - A MATLAB Power System Simulation Package, retrieved 7.12.2011
    3238
    33 [[Image(friedman-ii.png)]]
     39    [http://code.google.com/apis/protocolbuffers/docs/overview.html Protocol buffers], retrieved 11.12.2011
    3440
    35 Variables x1,..., x5 are sampled uniformly from the unit hypercube (x~U(0,1)).
     41=== APCast 2012 ===
     4214th International Asia Pacific Conference on Computer Aided System Theory,
     436th to 8th February, 2012, Sydney, Australia
    3644
    37 ===== Breiman-I =====
    38      [export:/misc/publications/2010/theses/gkronber/breiman-I.csv breiman-I.csv]
    39 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.
     45==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
     46   [export:/misc/publications/2012/conferences/APCast/swagner/slides.pdf Tutorial slides]
    4047
    41 [[Image(breiman-I.png)]]
     48   Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB].
     49   [export:/misc/publications/2012/conferences/APCast/swagner/ch130.tsp ch130.tsp]
     50   [export:/misc/publications/2012/conferences/APCast/swagner/ch130.opt.tour ch130.opt.tour]
    4251
    43 Epsilon is generated from the normal distribution (e~N(0,2)).
    44 
    45 Variables x01,..., x10 are randomly sampled attributes following the probability distributions:
    46 
    47 [[Image(breiman-I-variables.png)]]
    48 
    49 ==== Real-world datasets ====
    50 
    51 ===== Chemical-I =====
    52      [export:/misc/publications/2010/theses/gkronber/chemical-I.csv chemical-I.csv]
    53 
    54 ===== Chemical-II =====
    55      [export:/misc/publications/2010/theses/gkronber/chemical-II.csv chemical-II.csv]
    56 
    57 ===== Financial-I =====
    58      [export:/misc/publications/2010/theses/gkronber/financial-I.csv financial-I.csv]
    59 
    60 ===== Macro-Economic =====
    61      [export:/misc/publications/2010/theses/gkronber/macro-economic.csv macro-economic.csv]
    62 
    63 ===== Housing =====
    64      [export:/misc/publications/2010/theses/gkronber/housing.csv housing.csv]
    65 
    66 ==== References ====
    67 Jerome H. Friedman, Multivariate adaptive regression splines, ''The Annals of Statistics'', 19(1):1-141, 1991. \\
    68 Leo Breiman, Jerome H. Friedman, Charles J. Stone and R. A. Olson, ''Classification and Regression Trees'', Chapman and Hall, 1984\\
     52   Demo experiment and results.
     53   [export:/misc/publications/2012/conferences/APCast/swagner/exp.hl exp.hl]
     54   [export:/misc/publications/2012/conferences/APCast/swagner/exp_results.hl exp_results.hl]
    6955
    7056----
    … …  
    145131----
    146132
    147 == 2012 ==
    148133
    149 === IEEE Transactions on Industrial Informatics ===
    150 Special section on ''Software Engineering in Factory and Energy Automation''
     134== 2010 ==
    151135
    152 ==== Simulation-based optimization with HeuristicLab ====
    153     A description of how to provide an evaluation service for [http://www.xjtek.com/ AnyLogic] simulation models is given [wiki:UsersHowtosOptimizingAnyLogicModels here].
     136=== 22nd European Modeling & Simulation Symposium (EMSS) ===
    154137
    155 ==== Links ====
    156     [http://www.interpss.org/ InterPSS] - Internet technology based Power System Simulator, retrieved 7.12.2011
     138==== Mutation Effects in Genetic Algorithms with Offspring Selection Applied to Combinatorial Optimization Problems ====
    157139
    158     [http://www.pserc.cornell.edu/matpower/ MATPOWER] - A MATLAB Power System Simulation Package, retrieved 7.12.2011
     140Authors: S. Wagner, M. Affenzeller, A. Beham, G. Kronberger, S.M. Winkler
    159141
    160     [http://code.google.com/apis/protocolbuffers/docs/overview.html Protocol buffers], retrieved 11.12.2011
     142The !HeuristicLab experiments described in the paper can be downloaded [source:misc/publications/2010/conferences/EMSS/swagner here].
    161143
    162 === APCast 2012 ===
    163 14th International Asia Pacific Conference on Computer Aided System Theory,
    164 6th to 8th February, 2012, Sydney, Australia
     144=== Dissertation Kronberger ===
     145The following datasets are used in experiments in the thesis.
     146==== Artificial benchmark datasets ====
     147===== Friedman-I =====
     148[export:/misc/publications/2010/theses/gkronber/friedman-I.csv friedman-I.csv]
    165149
    166 ==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
    167    [export:/misc/publications/2012/conferences/APCast/swagner/slides.pdf Tutorial slides]
     150This 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).
    168151
    169    Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB].
    170    [export:/misc/publications/2012/conferences/APCast/swagner/ch130.tsp ch130.tsp]
    171    [export:/misc/publications/2012/conferences/APCast/swagner/ch130.opt.tour ch130.opt.tour]
     152[[Image(friedman-I.png)]]
    172153
    173    Demo experiment and results.
    174    [export:/misc/publications/2012/conferences/APCast/swagner/exp.hl exp.hl]
    175    [export:/misc/publications/2012/conferences/APCast/swagner/exp_results.hl exp_results.hl]
     154Variables x01,..., x10 are sampled uniformly from the unit hypercube (x~U(0,1)).
     155Epsilon is generated from the standard normal distribution (e~N(0,1)).
    176156
    177 === GECCO 2012 ===
    178 Genetic and Evolutionary Computation Conference,
    179 7th to 11th July, 2012, Philadelphia, USA
     157===== Friedman-II =====
     158     [export:/misc/publications/2010/theses/gkronber/friedman-II.csv friedman-II.csv]
    180159
    181 ==== Tutorial Algorithm and Experiment Design with HeuristicLab ====
    182    [export:/misc/publications/2012/conferences/GECCO/swagner/slides.pdf Tutorial slides]
     160This dataset is also described in (Friedman, 1991). The signal-to-noise ratio in this dataset is larger compared to the Friedman-I function.
    183161
    184    Demo TSP instance from [http://comopt.ifi.uni-heidelberg.de/software/TSPLIB95 TSPLIB].
    185    [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.tsp ch130.tsp]
    186    [export:/misc/publications/2012/conferences/GECCO/swagner/ch130.opt.tour ch130.opt.tour]
     162[[Image(friedman-ii.png)]]
    187163
    188    Demo experiment and results.
    189    [export:/misc/publications/2012/conferences/GECCO/swagner/exp.hl exp.hl]
    190    [export:/misc/publications/2012/conferences/GECCO/swagner/exp_results.hl exp_results.hl]
     164Variables x1,..., x5 are sampled uniformly from the unit hypercube (x~U(0,1)).
    191165
    192    Demo dataset for symbolic regression.
    193    [export:/misc/publications/2012/conferences/GECCO/gkronber/poly-10.csv poly-10.csv]
     166===== Breiman-I =====
     167     [export:/misc/publications/2010/theses/gkronber/breiman-I.csv breiman-I.csv]
     168This 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.
    194169
    195    Demo dataset for symbolic classification.
    196    [export:/misc/publications/2012/conferences/GECCO/gkronber/mammography.csv mammography.csv]
     170[[Image(breiman-I.png)]]
     171
     172Epsilon is generated from the normal distribution (e~N(0,2)).
     173
     174Variables x01,..., x10 are randomly sampled attributes following the probability distributions:
     175
     176[[Image(breiman-I-variables.png)]]
     177
     178==== Real-world datasets ====
     179
     180===== Chemical-I =====
     181     [export:/misc/publications/2010/theses/gkronber/chemical-I.csv chemical-I.csv]
     182
     183===== Chemical-II =====
     184     [export:/misc/publications/2010/theses/gkronber/chemical-II.csv chemical-II.csv]
     185
     186===== Financial-I =====
     187     [export:/misc/publications/2010/theses/gkronber/financial-I.csv financial-I.csv]
     188
     189===== Macro-Economic =====
     190     [export:/misc/publications/2010/theses/gkronber/macro-economic.csv macro-economic.csv]
     191
     192===== Housing =====
     193     [export:/misc/publications/2010/theses/gkronber/housing.csv housing.csv]
     194
     195==== References ====
     196Jerome H. Friedman, Multivariate adaptive regression splines, ''The Annals of Statistics'', 19(1):1-141, 1991. \\
     197Leo Breiman, Jerome H. Friedman, Charles J. Stone and R. A. Olson, ''Classification and Regression Trees'', Chapman and Hall, 1984\\
     198