Publications

2014

  • A. Beham, G. K. Kronberger, J. Karder, M. Kommenda, A. Scheibenpflug, S. Wagner, M. Affenzeller - Integrated Simulation and Optimization in HeuristicLab - Proceedings of the 26th European Modeling and Simulation Symposium EMSS 2014, Bordeaux, Frankreich, 2014, pp. 418-42

2015

  • M. Affenzeller, A. Beham, S. Vonolfen, E. Pitzer, S. M. Winkler, S. Hutterer, M. Kommenda, M. Kofler, G. K. Kronberger, S. Wagner - Simulation-Based Optimization with HeuristicLab in Applied Simulation and Optimization (Contributions to Book: Part/Chapter/Section 1), (Editors: M. Mujica Mota, I. De La Mota, D. Guimarans Serrano) - Springer, 2015, pp. 1-38
  • S. M. Winkler, M. Affenzeller, G. Kronberger, M. Kommenda, B. Burlacu, and S. Wagner: Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. In Genetic Programming Theory and Practice XII, Springer, 2015.

  • A. Beham, M. Kommenda, S. Wagner, S. M. Winkler, M. Affenzeller: Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems, in R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia (Eds.): Lecture Notes in Computer Science (LNCS 9520), Springer, 2015, pp. 359-366.

  • A. Beham, M. Affenzeller, E. Pitzer: Metaheuristic Algorithms for the Quadratic Assignment Problem: Performance and Comparison, in R. Klempous, J. Nikodem: Innovative Technologies in Management and Science, Innovative Technologies in Management and Science, Nummer 7, Springer, 2015, pp. 91-110.

  • B. Burlacu, M. Affenzeller, M. Kommenda: On the Effectiveness of Genetic Operations in Symbolic Regression, in R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia (Eds.): Lecture Notes in Computer Science (LNCS 9520), Springer, 2015, pp. 367-374.

  • B. Burlacu, M. Kommenda, M. Affenzeller: Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming, in Proceedings of the 3rd Asia-Pacific Conference on Computer Aided System Engineering Conference 2015, 2015.

  • B. Burlacu, M. Affenzeller, S. M. Winkler, M. Kommenda, G. K. Kronberger - Methods for Genealogy and Building Blocks Analysis in Genetic Programming in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 5), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 61-74.

  • J. Fechter, A. Beham, S. Wagner, M. Affenzeller: Modeling a Lot-Aware Slab Stack Shuffling Problem, in R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia (Eds.): Lecture Notes in Computer Science (LNCS 9520), Springer, 2015, pp. 334-341.

  • J. Fechter, A. Beham, S. Wagner: Modelling a Clustered Generalized Quadratic Assignment Problem, in Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, 2015.

  • M. Kommenda, A. Beham, M. Affenzeller, G. Kronberger: Complexity Measures for Multi-Objective Symbolic Regression, in R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia (Eds.): Lecture Notes in Computer Science (LNCS 9520), Springer, 2015, pp. 409-416.

  • M. Kommenda, M. Affenzeller, G. Kronberger, B. Burlacu, S. M. Winkler: Multi-Population Genetic Programming with Data Migration for Symbolic Regression in Computational Intelligence and Efficiency in Engineering Systems , in G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba: Computational Intelligence and Efficiency in Engineering Systems, Nummer 6, Springer, 2015, pp. 75-87.

  • M. Kommenda, M. Affenzeller, G. K. Kronberger, B. Burlacu, S. M. Winkler - Multi-Population Genetic Programming with Data Migration for Symbolic Regression in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 6), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 75-87.

  • G. K. Kronberger, M. Kommenda - Search Strategies for Grammatical Optimization Problems – Alternatives to Grammar-Guided Genetic Programming in Computational Intelligence and Efficiency in Engineering Systems (Contributions to Book: Part/Chapter/Section 7), (Editors: G. Borowik, Z. Chaczko, L.G. Ford, W. Jacak, T. Luba) - Springer, 2015, pp. 89-102.

  • G. K. Kronberger, M. Kommenda, S. M. Winkler, M. Affenzeller - Using Contextual Information in Sequential Search for Grammatical Optimization Problems - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spanien, 2015, pp. 417-424

  • A. Petrakova, M. Affenzeller, G. Merkurjeva : Heterogeneous versus Homogeneous Machine Learning Ensemble. In Information Technology and Management Science 01/2015; 18(1). DOI: 10.1515/itms-2015-0021

  • ​S. Raggl, J. Fechter, A. Beham - A Dynamic Multicommodity Network Flow Problem For Logistics Networks - Proceedings of the 27th European Modeling and Simulation Symposium EMSS 2015, Bergeggi, Italien, 2015, pp. 6

  • A. Scheibenpflug, A. Beham, M. Kommenda, J. Karder, S. Wagner, M. Affenzeller: Simplifying Problem Definitions in the HeuristicLab Optimization Environment, in Companion Publication of the 2015 Genetic and Evolutionary Computation Conference, GECCO'15, 2015, pp. 1101-1108.

  • S. Wagner, M. Affenzeller, A. Scheibenpflug: Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection, in R. Moreno-Diaz, F.Pichler, A. Quesada-Arencibia (Eds.): Lecture Notes in Computer Science (LNCS 9520), Springer, 2015, pp. 433-438.

  • S. M. Winkler, B. Castaño, S. Luengo, S. Schaller, G. Kronberger, M. Affenzeller: HETEROGENEOUS MODEL ENSEMBLES FOR SHORT-TERM PREDICTION OF STOCK MARKET TRENDS. In: Int. J. Simulation and Process Modelling, 2015.

  • Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger,Michael Kommenda, Bogdan Burlacu, and Stefan Wagner: SlidingWindow Symbolic Regression for Detecting Changes of System Dynamics. Genetic Programming Theory and Practice XII (2015)

  • S. M. Winkler, G. K. Kronberger, M. Kommenda, S. Fink, M. Affenzeller - Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning - Lecture Notes in Computer Science LNCS 9520, Las Palmas, Gran Canaria, Spanien, 2015, pp. 326-333

2016

  • A. Beham, S. Wagner, M. Affenzeller - Optimization Knowledge Center - Companion Publication of the 2016 Genetic and Evolutionary Computation Conference, GECCO'16 Companion, Denver, Colorado, Vereinigte Staaten von Amerika, 2016, pp. 1331-1338

  • P. Fleck, M. Kommenda, M. Affenzeller, T. Prante - Analysis of Uncertainty in Engineering Design Optimization Problems - Proceedings of the 28th European Modeling and Simulation Symposium EMSS 2016, Larnaca, Zypern, 2016, pp. 107-116

  • V. A. Hauder, A. Beham, S. Wagner - Integrated Performance Measurement for Optimization Networks in Smart Enterprises - On the Move to Meaningful Internet Systems: OTM 2016 Workshops (Lecture Notes in Computer Science, LNCS 10034), Rhodes, Griechenland, 2016, pp. 10

  • A. Hübl, E. Lengauer, S. Raggl, M. Affenzeller - Network on Demand Planning of Supply Chains Towards Physical Internet - Tagungsband FFH 2016, Wien, Österreich, 2016, pp. 1-6

  • M. Kommenda, G. K. Kronberger, M. Affenzeller, S. M. Winkler, B. Burlacu - Evolving Simple Symbolic Regression Models by Multi-objective Genetic Programming in Genetic Programming Theory and Practice XIII (Editors: Rick Riolo, William P. Worzel, Mark Kotanchek, Arthur Kordon) - Springer, 2016, pp. 1-19

  • S. Raggl, A. Beham, F. Tricoire, M. Affenzeller - A Tree-Search Based Heuristic for a Complex Stacking Problem with Continous Production and Retrieval - Proceedings of the 28th European Modeling and Simulation Symposium EMSS 2016, Larnaca, Zypern, 2016, pp. 6

  • J.R.Sendra, S.M. Winkler: A Heuristic and Evolutionary Algorithm to Optimize the Coefficients of Curve Parametrizations. In: Journal of Computational and Applied Mathematics, Elsevier, Accepted 2016

2017

  • M. Affenzeller, B. Burlacu, S. M. Winkler, M. Kommenda, G. K. Kronberger, S. Wagner - Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 424-431

  • M. Affenzeller, S. M. Winkler, B. Burlacu, G. K. Kronberger, M. Kommenda, S. Wagner - Dynamic Observation of Genotypic and Phenotypic Diversity for Different Symbolic Regression GP variants - GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, Deutschland, 2017, pp. 1553-1558

  • A. Beham, E. Pitzer, S. Wagner, M. Affenzeller - Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8

  • B. Burlacu, M. Affenzeller, M. Kommenda, G. K. Kronberger, S. M. Winkler - Analysis of Schema Frequencies in Genetic Programming - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 7

  • R. Cihal, A. Beham, S. Raggl, E. Hölzl, K. Probst, H. Moser - Slab Stacking Automation in the Hot Slab Yard as Key Factor for Post-Processing of Cast Slabs - Proceedings of the 9th ECCC European Continuous Casting Conference (ECCC 2017), Vienna, Österreich, 2017, pp. 1122-1131

  • V. A. Hauder, A. Beham, S. Wagner, M. Affenzeller - Optimization Networks for Real-World Production and Logistics Problems - GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, Deutschland, 2017, pp. 4

  • V. A. Hauder, J. Karder, A. Beham, S. Wagner, M. Affenzeller - A General Solution Approach for the Location Routing Problem - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 8

  • J. Karder, A. Beham, S. Wagner, M. Affenzeller - Solving the Traveling Thief Problem using Orchestration in Optimization Networks - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 307-315

  • J. Karder, S. Wagner, A. Beham, M. Kommenda, M. Affenzeller - Towards the Design and Implementation of Optimization Networks in HeuristicLab - GECCO '17: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Berlin, Germany, Deutschland, 2017, pp. 1209-1214

  • M. Kommenda, J. Karder, A. Beham, B. Burlacu, G. K. Kronberger, S. Wagner, M. Affenzeller - Optimization Networks for Integrated Machine Learning - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 392-399

  • G. K. Kronberger, B. Burlacu, M. Kommenda, S. M. Winkler, M. Affenzeller - Measures for the Evaluation and Comparison of Graphical Model Structures - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 283-290

  • E. Pitzer, M. Affenzeller - Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 416-423

  • S. Raggl, A. Beham, S. Wagner, M. Affenzeller - Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 347-354

  • S. Wagner, A. Beham, M. Affenzeller - Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms - Lecture Notes in Computer Science 10671, Las Palmas de Gran Canaria, Spanien, 2017, pp. 439-446

  • Weichhart G., Roljic B., Beham A., Frühwirth M., Steringer R., Neissl U., Grote V., Karder J., Zörrer H.: Enterprise Interoperability as Framework for Project Knowledge Management. IN: On the Move to Meaningful Internet Systems: OTM 2016 Workshops:, Rhodes, Greece, October 24–28, 2016, Revised Selected Papers (pp.190-199)

2018

  • Burlacu, Affenzeller, Kommenda, Kronberger, Winkler - Schema Analysis in TreeBased Genetiv Programming. In: Genetic Programming Theory and Practice XV. Accepted for publication 2018

  • G. K. Kronberger, M. Kommenda, E. Lughofer, S. Saminger-Platz, A. Promberger, F. Nickel, S. M. Winkler, M. Affenzeller - Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems - Applied Soft Computing, 2018, pp. 610-624

  • E. Lughofer, G. K. Kronberger, M. Kommenda, S. Saminger-Platz, A. Promberger, F. Nickel, S. M. Winkler, M. Affenzeller - Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems - Proceedings of the 8th International Joint Conference on Computational Intelligence, Porto, Portugal, 2016, pp. 51-63

  • F. Tricoire, J. Scagnetti, A. Beham - New insights on the block relocation problem - COMPUTERS & OPERATIONS RESEARCH, 2018, pp. 127-139