default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMichael Affenzeller
Person information
- affiliation: University of Applied Sciences Upper Austria, Hagenberg, Austria
- affiliation: Johannes Kepler University of Linz, Austria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j30]Bogdan Burlacu
, Kaifeng Yang, Michael Affenzeller:
Population diversity and inheritance in genetic programming for symbolic regression. Nat. Comput. 23(3): 531-566 (2024)- [c173]Hao Wang, Kaifeng Yang, Michael Affenzeller:
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. ICML 2024 - [e8]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15148, Springer 2024, ISBN 978-3-031-70054-5 [contents] - [e7]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15149, Springer 2024, ISBN 978-3-031-70067-5 [contents] - [e6]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15150, Springer 2024, ISBN 978-3-031-70070-5 [contents] - [e5]Michael Affenzeller, Stephan M. Winkler, Anna V. Kononova, Heike Trautmann, Tea Tusar, Penousal Machado, Thomas Bäck:
Parallel Problem Solving from Nature - PPSN XVIII - 18th International Conference, PPSN 2024, Hagenberg, Austria, September 14-18, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15151, Springer 2024, ISBN 978-3-031-70084-2 [contents] - 2023
- [j29]David Muhr, Michael Affenzeller, Josef Küng:
A Probabilistic Transformation of Distance-Based Outliers. Mach. Learn. Knowl. Extr. 5(3): 782-802 (2023) - [c172]Kaifeng Yang, Michael Affenzeller:
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. EMO 2023: 176-190 - [c171]Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller:
Evolutionary Algorithms for Segment Optimization in Vectorial GP. GECCO Companion 2023: 439-442 - [c170]Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth:
A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. GECCO Companion 2023: 2308-2317 - [c169]Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi:
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. GECCO Companion 2023: 2420-2428 - [c168]Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Florian Bachinger, Gabriel Kronberger, Michael Affenzeller:
Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation. GPTP 2023: 225-240 - [c167]Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong:
Gradients of Acquisition Functions for Bi-objective Bayesian optimization. ICNC-FSKD 2023: 1-9 - [c166]David Muhr, Michael Affenzeller, Josef Küng:
Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles. AIAI (2) 2023: 3-15 - [c165]Johannes Karder, Bernhard Werth, Andreas Beham, Stefan Wagner, Michael Affenzeller:
A Novel Benchmark Environment for Dynamic Factory Crane Scheduling. ISM 2023: 1217-1224 - [c164]Holger Gröning, Jan Zenisek, Norbert Wild, Aziz Huskic, Michael Affenzeller:
Method of Process Optimization for LMD-Processes using Machine Learning Algorithms. ISM 2023: 1506-1512 - [e4]Francesco Longo, Michael Affenzeller, Antonio Padovano, Weiming Shen:
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), Lisbon, Portugal, 22-24 November 2023. Procedia Computer Science 217, Elsevier 2023 [contents] - [i19]Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. CoRR abs/2303.03200 (2023) - [i18]David Muhr, Michael Affenzeller, Josef Küng:
Probabilistic Distance-Based Outlier Detection. CoRR abs/2305.09446 (2023) - [i17]Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi:
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. CoRR abs/2307.11756 (2023) - 2022
- [j28]Vladimir Stanovov, Shakhnaz Akhmedova, Alexey Vakhnin, Evgenii Sopov, Eugene Semenkin, Michael Affenzeller:
Improving the Quantum Multi-Swarm Optimization with Adaptive Differential Evolution for Dynamic Environments. Algorithms 15(5): 154 (2022) - [j27]Kaifeng Yang, Michael Affenzeller, Guozhi Dong:
A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement. Swarm Evol. Comput. 75: 101183 (2022) - [c163]David Muhr, Michael Affenzeller:
Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark. DaWaK 2022: 163-169 - [c162]Johannes Karder, Bernhard Werth, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Analysis and Handling of Dynamic Problem Changes in Open-Ended Optimization. EUROCAST 2022: 61-68 - [c161]Bernhard Werth, Erik Pitzer, Johannes Karder, Stefan Wagner, Michael Affenzeller:
Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance. EUROCAST 2022: 69-77 - [c160]Jan Zenisek, Sebastian Dorl, Dominik Falkner, Lukas Gaisberger, Stephan M. Winkler, Michael Affenzeller:
Shapley Value Based Variable Interaction Networks for Data Stream Analysis. EUROCAST 2022: 130-138 - [c159]David Piringer, Stefan Wagner, Christian Haider, Armin Fohler, Siegfried Silber, Michael Affenzeller:
Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints. EUROCAST 2022: 155-163 - [c158]Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller:
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. GPTP 2022: 1-30 - [c157]David Muhr, Michael Affenzeller:
Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces. AIAI (2) 2022: 112-123 - [c156]Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek:
Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. SYNASC 2022: 1-8 - [e3]Francesco Longo, Michael Affenzeller, Antonio Padovano:
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus - Linz, Austria, 17-19 November 2021. Procedia Computer Science 200, Elsevier 2022 [contents] - [i16]Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich:
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. CoRR abs/2205.05505 (2022) - [i15]Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller:
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. CoRR abs/2206.06422 (2022) - [i14]Kaifeng Yang, Guozhi Dong, Michael Affenzeller:
A Parallel Technique for Multi-objective Bayesian Global Optimization: Using a Batch Selection of Probability of Improvement. CoRR abs/2208.03685 (2022) - [i13]David Muhr, Michael Affenzeller, Anthony D. Blaom:
OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language. CoRR abs/2211.04550 (2022) - 2021
- [j26]Johannes Karder, Andreas Beham, Viktoria A. Hauder, Klaus Altendorfer, Michael Affenzeller:
Simulation-based optimisation for worker cross-training. Int. J. Simul. Process. Model. 16(3): 185-198 (2021) - [c155]Erik Pitzer, Michael Affenzeller:
Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms. CEC 2021: 1431-1438 - [c154]Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stöger, Bernd Hofer, Michael Affenzeller, Stephan M. Winkler:
Multi tree operators for genetic programming to identify optimal energy flow controllers. GECCO Companion 2021: 1579-1586 - [c153]Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Grammar-Based Vectorial Genetic Programming for Symbolic Regression. GPTP 2021: 21-43 - [c152]Kaifeng Yang, Michael Affenzeller:
Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging. ISM 2021: 954-961 - [c151]David Muhr, Michael Affenzeller:
Little data is often enough for distance-based outlier detection. ISM 2021: 984-992 - [c150]Bernhard Werth, Andreas Beham, Johannes Karder, Stefan Wagner, Michael Affenzeller:
Fitness Landscape Analysis on Binary Dynamic Optimization Problems. ISM 2021: 1004-1013 - [c149]Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller:
Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times. ISM 2021: 1031-1040 - [c148]Jan Zenisek, Holger Gröning, Norbert Wild, Aziz Huskic, Michael Affenzeller:
Machine Learning based Data Stream Merging in Additive Manufacturing. ISM 2021: 1422-1431 - [e2]Francesco Longo, Michael Affenzeller, Antonio Padovano:
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), Virtual Event, Austria, 23-25 November 2020. Procedia Computer Science 180, Elsevier 2021 [contents] - [i12]Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger:
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression. CoRR abs/2107.10640 (2021) - [i11]Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller:
Concept Drift Detection with Variable Interaction Networks. CoRR abs/2108.03273 (2021) - [i10]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda:
On the Effectiveness of Genetic Operations in Symbolic Regression. CoRR abs/2108.10661 (2021) - [i9]Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger:
Complexity Measures for Multi-objective Symbolic Regression. CoRR abs/2109.00238 (2021) - [i8]Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. CoRR abs/2109.13895 (2021) - [i7]Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. CoRR abs/2109.13898 (2021) - [i6]Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller:
Optimization Networks for Integrated Machine Learning. CoRR abs/2110.00415 (2021) - 2020
- [j25]Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Sophie N. Parragh, Michael Affenzeller:
Resource-constrained multi-project scheduling with activity and time flexibility. Comput. Ind. Eng. 150: 106857 (2020) - [j24]Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger, Michael Affenzeller:
Parameter identification for symbolic regression using nonlinear least squares. Genet. Program. Evolvable Mach. 21(3): 471-501 (2020) - [c147]Sebastian Raggl, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Solution approaches for the dynamic stacking problem. GECCO Companion 2020: 1652-1660 - [c146]Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller:
Towards Knowledge-guided Genetic Improvement. ICSE (Workshops) 2020: 293-294 - [c145]Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Karl F. Doerner, Michael Affenzeller:
Dynamic online optimization in the context of smart manufacturing: an overview. ISM 2020: 988-995
2010 – 2019
- 2019
- [j23]Judith Fechter, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval. Appl. Artif. Intell. 33(1): 68-86 (2019) - [j22]Jan Zenisek, Florian Holzinger, Michael Affenzeller:
Machine learning based concept drift detection for predictive maintenance. Comput. Ind. Eng. 137 (2019) - [j21]Bernhard Werth, Erik Pitzer, Christian Backfrieder, Gerald Ostermayer, Michael Affenzeller:
Surrogate-assisted microscopic traffic simulation-based optimisation of routing parameters. Int. J. Simul. Process. Model. 14(3): 223-233 (2019) - [c144]Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda:
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. CEC 2019: 2175-2182 - [c143]Bernhard Werth, Erik Pitzer, Michael Affenzeller:
Surrogate-Assisted Fitness Landscape Analysis for Computationally Expensive Optimization. EUROCAST (1) 2019: 247-254 - [c142]Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler:
White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems. EUROCAST (1) 2019: 288-295 - [c141]Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller:
Concept Drift Detection with Variable Interaction Networks. EUROCAST (1) 2019: 296-303 - [c140]Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Michael Affenzeller:
Solving a Flexible Resource-Constrained Project Scheduling Problem Under Consideration of Activity Priorities. EUROCAST (1) 2019: 327-334 - [c139]Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger:
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression. EUROCAST (1) 2019: 361-369 - [c138]Mariia Semenkina, Bogdan Burlacu, Michael Affenzeller:
Genetic Programming Based Evolvement of Models of Models. EUROCAST (1) 2019: 387-395 - [c137]Erik Pitzer, Michael Affenzeller:
"Incremental" Evaluation for Genetic Crossover. EUROCAST (1) 2019: 396-404 - [c136]Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stöger, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner, Bernd Hofer:
A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression. EUROCAST (1) 2019: 405-412 - [c135]Sebastian Raggl, Andreas Beham, Michael Affenzeller:
Investigating the Dynamic Block Relocation Problem. EUROCAST (1) 2019: 438-445 - [c134]Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller:
Parsimony measures in multi-objective genetic programming for symbolic regression. GECCO (Companion) 2019: 338-339 - [c133]Andreas Beham, Sebastian Raggl, Stefan Wagner, Michael Affenzeller:
Uncertainty in real-world steel stacking problems. GECCO (Companion) 2019: 1438-1440 - [c132]Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication. GPTP 2019: 79-99 - [c131]Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller:
Mining patterns from genetic improvement experiments. GI@ICSE 2019: 28-29 - [i5]Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda:
Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. CoRR abs/1902.00882 (2019) - [i4]Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Sophie N. Parragh, Michael Affenzeller:
On constraint programming for a new flexible project scheduling problem with resource constraints. CoRR abs/1902.09244 (2019) - 2018
- [j20]Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller:
Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems. Appl. Soft Comput. 69: 610-624 (2018) - [j19]Philipp Fleck, Michael Kommenda, Thorsten Prante, Michael Affenzeller:
Novel robustness measures for engineering design optimisation. Int. J. Simul. Process. Model. 13(4): 387-401 (2018) - [c130]Wojciech Bozejko, Andrzej Gnatowski, Teodor Nizynski, Michael Affenzeller, Andreas Beham:
Local Optima Networks in Solving Algorithm Selection Problem for TSP. DepCoS-RELCOMEX 2018: 83-93 - [c129]Lukas Kammerer, Michael Affenzeller:
Confidence-based ensemble modeling in medical data mining. GECCO (Companion) 2018: 163-164 - [c128]Andreas Beham, Stefan Wagner, Michael Affenzeller:
Algorithm selection on generalized quadratic assignment problem landscapes. GECCO 2018: 253-260 - [c127]Bernhard Werth, Erik Pitzer, Gerald Ostermayer, Michael Affenzeller:
Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes. GECCO 2018: 1087-1094 - [c126]Bogdan Burlacu, Michael Affenzeller:
Schema-based diversification in genetic programming. GECCO 2018: 1111-1118 - [c125]Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller:
Asynchronous surrogate-assisted optimization networks. GECCO (Companion) 2018: 1266-1267 - [c124]Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller:
Dynamic fitness functions for genetic improvement in compilers and interpreters. GECCO (Companion) 2018: 1590-1597 - [c123]Sebastian Raggl, Andreas Beham, Viktoria A. Hauder, Stefan Wagner, Michael Affenzeller:
Discrete real-world problems in a black-box optimization benchmark. GECCO (Companion) 2018: 1745-1752 - [c122]Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller:
Cluster Analysis of a Symbolic Regression Search Space. GPTP 2018: 85-102 - [c121]Jan Zenisek, Josef Wolfartsberger, Christoph Sievi, Michael Affenzeller:
Modeling Sensor Networks for Predictive Maintenance. OTM Workshops 2018: 184-188 - 2017
- [j18]Johannes Karder, Andreas Scheibenpflug, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Extending Sim# for simulation-based optimisation of semi-automated machinery. Int. J. Simul. Process. Model. 12(6): 485-497 (2017) - [c120]Viktoria A. Hauder, Johannes Karder, Andreas Beham, Stefan Wagner, Michael Affenzeller:
A General Solution Approach for the Location Routing Problem. EUROCAST (1) 2017: 257-265 - [c119]Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller:
Measures for the Evaluation and Comparison of Graphical Model Structures. EUROCAST (1) 2017: 283-290 - [c118]Johannes Karder, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Solving the Traveling Thief Problem Using Orchestration in Optimization Networks. EUROCAST (1) 2017: 307-315 - [c117]Sebastian Raggl, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem. EUROCAST (1) 2017: 347-354 - [c116]Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller:
Optimization Networks for Integrated Machine Learning. EUROCAST (1) 2017: 392-399 - [c115]Bernhard Werth, Erik Pitzer, Michael Affenzeller:
A Fair Performance Comparison of Different Surrogate Optimization Strategies. EUROCAST (1) 2017: 408-415 - [c114]Erik Pitzer, Michael Affenzeller:
Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures. EUROCAST (1) 2017: 416-423 - [c113]Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner:
Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals. EUROCAST (1) 2017: 424-431 - [c112]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Analysis of Schema Frequencies in Genetic Programming. EUROCAST (1) 2017: 432-438 - [c111]Stefan Wagner, Andreas Beham, Michael Affenzeller:
Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms. EUROCAST (1) 2017: 439-446 - [c110]Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller:
Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms. EUROCAST (1) 2017: 473-480 - [c109]Jan Zenisek, Michael Affenzeller, Josef Wolfartsberger, Mathias Silmbroth, Christoph Sievi, Aziz Huskic, Herbert Jodlbauer:
Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles. EUROCAST (1) 2017: 481-488 - [c108]Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller:
Towards the design and implementation of optimization networks in HeuristicLab. GECCO (Companion) 2017: 1209-1214 - [c107]Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Optimization networks for real-world production and logistics problems. GECCO (Companion) 2017: 1411-1414 - [c106]Andreas Beham, Michael Affenzeller, Stefan Wagner:
Instance-based algorithm selection on quadratic assignment problem landscapes. GECCO (Companion) 2017: 1471-1478 - [c105]Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner:
Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants. GECCO (Companion) 2017: 1553-1558 - [c104]Bernhard Werth, Erik Pitzer, Michael Affenzeller:
Enabling high-dimensional surrogate-assisted optimization by using sliding windows. GECCO (Companion) 2017: 1630-1637 - [c103]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler:
Schema Analysis in Tree-Based Genetic Programming. GPTP 2017: 17-37 - [c102]Viktoria A. Hauder, Erik Pitzer, Michael Affenzeller:
Optimization Approaches for the Physical Internet. OTM Workshops 2017: 236-245 - 2016
- [j17]Stefan Vonolfen, Michael Affenzeller:
Distribution of waiting time for dynamic pickup and delivery problems. Ann. Oper. Res. 236(2): 359-382 (2016) - [j16]Stephan M. Winkler, Bonifacio Castaño, Sergio Luengo-Sanchez, Susanne Schaller, Gabriel Kronberger, Michael Affenzeller:
Heterogeneous model ensembles for short-term prediction of stock market trends. Int. J. Simul. Process. Model. 11(6): 504-513 (2016) - [c101]Wojciech Bozejko, Andrzej Gnatowski, Ryszard Klempous, Michael Affenzeller, Andreas Beham:
Cyclic scheduling of a robotic cell. CogInfoCom 2016: 379-384 - [c100]Andreas Scheibenpflug, Johannes Karder, Susanne Schaller, Stefan Wagner, Michael Affenzeller:
Evolutionary Procedural 2D Map Generation using Novelty Search. GECCO (Companion) 2016: 39-40 - [c99]Stefan Wagner, Michael Affenzeller:
Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization. GECCO (Companion) 2016: 1313-1314 - [c98]Andreas Beham, Stefan Wagner, Michael Affenzeller:
Optimization Knowledge Center: A Decision Support System for Heuristic Optimization. GECCO (Companion) 2016: 1331-1338 - [c97]Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck:
Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression. GPTP 2016: 1-17 - [c96]Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller:
Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems. IJCCI (FCTA) 2016: 51-63 - 2015
- [j15]Stephan Hutterer, Michael Affenzeller:
Dynamic optimal power flow control with simulation-based evolutionary policy-function approximation. Int. J. Simul. Process. Model. 10(3): 294-305 (2015) - [j14]Stephan M. Winkler, Susanne Schaller, Viktoria Dorfer, Michael Affenzeller, Gerald Petz, Michal P. Karpowicz:
Data-based prediction of sentiments using heterogeneous model ensembles. Soft Comput. 19(12): 3401-3412 (2015) - [c95]Johannes Karder, Andreas Scheibenpflug, Stefan Wagner, Michael Affenzeller:
Optimizing Set-Up Times Using the HeuristicLab Optimization Environment. EUROCAST 2015: 286-293 - [c94]Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Stefan Fink, Michael Affenzeller:
Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning. EUROCAST 2015: 326-333 - [c93]Judith Fechter, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Modeling a Lot-Aware Slab Stack Shuffling Problem. EUROCAST 2015: 334-341 - [c92]Michael Affenzeller, Karin Zölzer, Stephan M. Winkler, Erwin Hopf, Herbert Stekel, Rupert Frechinger, Stefan Wagner:
Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling. EUROCAST 2015: 350-358 - [c91]Andreas Beham, Judith Fechter, Michael Kommenda, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller:
Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems. EUROCAST 2015: 359-366 - [c90]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda:
On the Effectiveness of Genetic Operations in Symbolic Regression. EUROCAST 2015: 367-374 - [c89]Andreas Scheibenpflug, Stefan Wagner, Michael Affenzeller:
Diversity-Based Offspring Selection Criteria for Genetic Algorithms. EUROCAST 2015: 393-400 - [c88]Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger:
Complexity Measures for Multi-objective Symbolic Regression. EUROCAST 2015: 409-416 - [c87]Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller:
Using Contextual Information in Sequential Search for Grammatical Optimization Problems. EUROCAST 2015: 417-424 - [c86]Stefan Wagner, Michael Affenzeller, Andreas Scheibenpflug:
Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection. EUROCAST 2015: 433-438 - [c85]Andreas Scheibenpflug, Andreas Beham, Michael Kommenda, Johannes Karder, Stefan Wagner, Michael Affenzeller:
Simplifying Problem Definitions in the HeuristicLab Optimization Environment. GECCO (Companion) 2015: 1101-1108 - [c84]Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu:
Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. GPTP 2015: 1-19 - [p7]Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger:
Methods for Genealogy and Building Block Analysis in Genetic Programming. Computational Intelligence and Efficiency in Engineering Systems 2015: 61-74 - [p6]Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler:
Multi-Population Genetic Programming with Data Migration for Symbolic Regression. Computational Intelligence and Efficiency in Engineering Systems 2015: 75-87 - [p5]Stephan M. Winkler, Susanne Schaller, Daniela Borgmann, Lisa Obritzberger, Viktoria Dorfer, Christian Haider, Sandra Mayr, Peter Lanzerstorfer, Claudia Loimayr, Simone Hennerbichler-Lugscheider, Andrea Lindenmair, Heinz Redl, Michael Affenzeller, Julian Weghuber, Jaroslaw Jacak:
Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms. Computational Intelligence and Efficiency in Engineering Systems 2015: 103-117 - [p4]Monika Kofler, Andreas Beham, Stefan Wagner, Michael Affenzeller:
Robust Storage Assignment in Warehouses with Correlated Demand. Computational Intelligence and Efficiency in Engineering Systems 2015: 415-428 - 2014
- [j13]Gerd Bramerdorfer, Stephan M. Winkler, Michael Kommenda, Günther Weidenholzer, Siegfried Silber, Gabriel Kronberger, Michael Affenzeller, Wolfgang Amrhein:
Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs. IEEE Trans. Ind. Electron. 61(11): 6454-6462 (2014) - [j12]Stephan Hutterer, Andreas Beham, Michael Affenzeller, Franz Auinger, Stefan Wagner:
Software-Enabled Investigation in Metaheuristic Power Grid Optimization. IEEE Trans. Ind. Informatics 10(1): 364-372 (2014) - [c83]Stephan M. Winkler, Michael Affenzeller, Susanne Schaller, Herbert Stekel:
Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system. GECCO (Companion) 2014: 1337-1344 - [c82]Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler:
Genetic programming with data migration for symbolic regression. GECCO (Companion) 2014: 1361-1366 - [c81]Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner:
Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. GPTP 2014: 91-107 - [c80]Gerd Bramerdorfer, Wolfgang Amrhein, Stephan M. Winkler, Michael Affenzeller:
Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios. IECON 2014: 628-633 - 2013
- [j11]Stefan Vonolfen, Michael Affenzeller, Andreas Beham, Efrem Lengauer, Stefan Wagner:
Simulation-based evolution of resupply and routing policies in rich vendor-managed inventory scenarios. Central Eur. J. Oper. Res. 21(2): 379-400 (2013) - [j10]Stephan Hutterer, Michael Affenzeller:
Probabilistic Electric Vehicle Charging Optimized With Genetic Algorithms and a Two-Stage Sampling Scheme. Int. J. Energy Optim. Eng. 2(3): 1-15 (2013) - [j9]Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Viktoria Dorfer, Witold Jacak, Herbert Stekel:
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer. Int. J. Simul. Process. Model. 8(1): 29-41 (2013) - [j8]Roland Braune, Günther Zäpfel, Michael Affenzeller:
Enhancing local search algorithms for job shops with min-sum objectives by approximate move evaluation. J. Sched. 16(5): 495-518 (2013) - [c79]Stephan Hutterer, Michael Affenzeller, Franz Auinger:
Evolutionary computation enabled controlled charging for e-mobility aggregators. CIASG 2013: 115-121 - [c78]Stefan Vonolfen, Andreas Beham, Michael Kommenda, Michael Affenzeller:
Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems. EUROCAST (1) 2013: 276-283 - [c77]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda:
On the Evolutionary Behavior of Genetic Programming with Constants Optimization. EUROCAST (1) 2013: 284-291 - [c76]Andreas Beham, Erik Pitzer, Michael Affenzeller:
Fitness Landscape Based Parameter Estimation for Robust Taboo Search. EUROCAST (1) 2013: 292-299 - [c75]Corinna Engelhardt-Nowitzki, Stefan Rotter, Michael Affenzeller:
Bridging the Gap between Rich Supply Chain Problems and the Effective Application of Metaheuristics through Ontology-Based Modeling. EUROCAST (1) 2013: 300-307 - [c74]Michael Affenzeller, Stephan M. Winkler, Herbert Stekel, Stefan Forstenlechner, Stefan Wagner:
Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. EUROCAST (1) 2013: 316-323 - [c73]Erik Pitzer, Michael Affenzeller:
Measurement of Anisotropy in Fitness Landscapes. EUROCAST (1) 2013: 340-347 - [c72]Monika Kofler, Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller:
Yard Storage Assignment Optimisation with Neutral Walks. EUROCAST (1) 2013: 356-363 - [c71]Stephan M. Winkler, Michael Affenzeller, Herbert Stekel:
An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data. EUROCAST (1) 2013: 388-395 - [c70]Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler:
Nonlinear Least Squares Optimization of Constants in Symbolic Regression. EUROCAST (1) 2013: 420-427 - [c69]Brigitte Rafael, Michael Affenzeller, Stefan Wagner:
Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem. EvoMUSART 2013: 13-24 - [c68]Erik Pitzer, Andreas Beham, Michael Affenzeller:
Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis. EvoCOP 2013: 109-120 - [c67]Stephan Hutterer, Michael Affenzeller, Franz Auinger:
Evolutionary Algorithm Based Control Policies for Flexible Optimal Power Flow over Time. EvoApplications 2013: 152-161 - [c66]Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Effects of constant optimization by nonlinear least squares minimization in symbolic regression. GECCO (Companion) 2013: 1121-1128 - [c65]Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger:
Visualization of genetic lineages and inheritance information in genetic programming. GECCO (Companion) 2013: 1351-1358 - [c64]Stephan M. Winkler, Michael Affenzeller, Herbert Stekel:
Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system. GECCO (Companion) 2013: 1463-1470 - [c63]Stephan Hutterer, Stefan Vonolfen, Michael Affenzeller:
Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow. GECCO (Companion) 2013: 1529-1536 - [c62]Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner:
Gaining Deeper Insights in Symbolic Regression. GPTP 2013: 175-190 - [i3]Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner:
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. CoRR abs/1309.5896 (2013) - [i2]Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller:
Data Mining using Unguided Symbolic Regression on a Blast Furnace Dataset. CoRR abs/1309.5931 (2013) - 2012
- [j7]Roland Braune, Günther Zäpfel, Michael Affenzeller:
An exact approach for single machine subproblems in shifting bottleneck procedures for job shops with total weighted tardiness objective. Eur. J. Oper. Res. 218(1): 76-85 (2012) - [c61]Stephan Hutterer, Michael Affenzeller, Franz Auinger:
Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging. GECCO (Companion) 2012: 3-10 - [c60]Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller:
On the architecture and implementation of tree-based genetic programming in HeuristicLab. GECCO (Companion) 2012: 101-108 - [c59]Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bäck:
Integration of flexible interfaces in optimization software frameworks for simulation-based optimization. GECCO (Companion) 2012: 125-132 - [c58]Andreas Scheibenpflug, Stefan Wagner, Erik Pitzer, Michael Affenzeller:
Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results. GECCO (Companion) 2012: 141-148 - [c57]Erik Pitzer, Andreas Beham, Michael Affenzeller:
Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problem. GECCO (Companion) 2012: 393-400 - [c56]Brigitte Rafael, Michael Affenzeller, Stefan Wagner:
An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem. GECCO (Companion) 2012: 469-476 - [c55]Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller:
Knowledge Discovery through Symbolic Regression with HeuristicLab. ECML/PKDD (2) 2012: 824-827 - [c54]Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner:
Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. WSC 2012: 122:1-122:12 - [c53]Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner:
Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. WSC 2012: 307:1-307:2 - [c52]Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner:
Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. WSC 2012: 339:1-339:2 - [p3]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler, Andreas Beham:
Analysis of Allele Distribution Dynamics in Different Genetic Algorithms. Recent Advances in Intelligent Engineering Systems 2012: 3-29 - [p2]Erik Pitzer, Michael Affenzeller:
A Comprehensive Survey on Fitness Landscape Analysis. Recent Advances in Intelligent Engineering Systems 2012: 161-191 - [i1]Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller:
Macro-Economic Time Series Modeling and Interaction Networks. CoRR abs/1212.2044 (2012) - 2011
- [c51]Roland Braune, Günther Zäpfel, Michael Affenzeller:
Lower bounds for single machine subproblems occurring in weighted tardiness oriented shifting bottleneck procedures. CISched 2011: 25-32 - [c50]Vitaly Bolshakov, Erik Pitzer, Michael Affenzeller:
Fitness Landscape Analysis of a Simulation Optimisation Problems with HeuristicLab. EMS 2011: 107-112 - [c49]Brigitte Rafael, Stefan Oertl, Michael Affenzeller, Stefan Wagner:
Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation. EUROCAST (1) 2011: 240-247 - [c48]Alexandru-Ciprian Zavoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller:
Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process. EUROCAST (1) 2011: 264-271 - [c47]Stephan Hutterer, Michael Affenzeller, Franz Auinger:
Heuristic Power Scheduling of Electric Vehicle Battery Charging Based on Discrete Event Simulation. EUROCAST (1) 2011: 311-318 - [c46]Stefan Vonolfen, Andreas Beham, Michael Affenzeller, Stefan Wagner, Andreas Mayr:
Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem. EUROCAST (1) 2011: 327-334 - [c45]Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Witold Jacak, Herbert Stekel:
Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling. EUROCAST (1) 2011: 335-342 - [c44]Christoph Neumüller, Stefan Wagner, Gabriel Kronberger, Michael Affenzeller:
Parameter Meta-optimization of Metaheuristic Optimization Algorithms. EUROCAST (1) 2011: 367-374 - [c43]Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Leonhard Schickmair, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner:
Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets. EUROCAST (1) 2011: 400-407 - [c42]Erik Pitzer, Michael Affenzeller, Andreas Beham, Stefan Wagner:
Comprehensive and Automatic Fitness Landscape Analysis Using HeuristicLab. EUROCAST (1) 2011: 424-431 - [c41]Gabriel Kronberger, Michael Affenzeller:
Market Basket Analysis of Retail Data: Supervised Learning Approach. EUROCAST (1) 2011: 464-471 - [c40]Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller:
Macro-economic Time Series Modeling and Interaction Networks. EvoApplications (2) 2011: 101-110 - [c39]Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller:
Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset. EvoApplications (1) 2011: 274-283 - [c38]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation. GECCO (Companion) 2011: 195-196 - [c37]Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel:
Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system. GECCO (Companion) 2011: 503-510 - [c36]Gabriel Kronberger, Michael Kommenda, Michael Affenzeller:
Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. GECCO (Companion) 2011: 631-638 - 2010
- [j6]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Effective allele preservation by offspring selection: an empirical study for the TSP. Int. J. Simul. Process. Model. 6(1): 29-39 (2010) - [c35]Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel:
Classification of tumor marker values using heuristic data mining methods. GECCO (Companion) 2010: 1915-1922 - [c34]Stephan Hutterer, Franz Auinger, Michael Affenzeller, Gerald Steinmaurer:
Overview: A Simulation Based Metaheuristic Optimization Approach to Optimal Power Dispatch Related to a Smart Electric Grid. LSMS/ICSEE (2) 2010: 368-378
2000 – 2009
- 2009
- [b1]Michael Affenzeller, Stephan M. Winkler, Stefan Wagner, Andreas Beham:
Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. CRC Press 2009, ISBN 978-1-58488-629-7, pp. I-XXVII, 1-365 - [j5]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis. Genet. Program. Evolvable Mach. 10(2): 111-140 (2009) - [c33]Brigitte Rafael, Stefan Oertl, Michael Affenzeller, Stefan Wagner:
Music Segmentation With Genetic Algorithms. DEXA Workshops 2009: 256-260 - [c32]Brigitte Rafael, Stefan Oertl, Michael Affenzeller, Stefan Wagner:
Using Heuristic Optimization for Segmentation of Symbolic Music. EUROCAST 2009: 641-648 - [c31]Stephan M. Winkler, Markus Hirsch, Michael Affenzeller, Luigi del Re, Stefan Wagner:
Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification. EUROCAST 2009: 657-664 - [c30]Stefan Wagner, Gabriel Kronberger, Andreas Beham, Stephan M. Winkler, Michael Affenzeller:
Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. EUROCAST 2009: 729-736 - [c29]Michael Kastner, Mohamed Wagdy Saleh, Stefan Wagner, Michael Affenzeller, Witold Jacak:
Heuristic Methods for Searching and Clustering Hierarchical Workflows. EUROCAST 2009: 737-744 - [c28]Andreas Beham, Monika Kofler, Michael Affenzeller, Stefan Wagner:
Evolutionary Selection in Simulation-Based Optimization. EUROCAST 2009: 761-768 - [c27]Michael Affenzeller, Stephan M. Winkler, Andreas Beham, Stefan Wagner:
On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms. EUROCAST 2009: 777-784 - [c26]Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner:
On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection. EUROCAST 2009: 793-800 - [c25]Rene Mayrhofer, Stephan M. Winkler, Helmut Hlavacs, Michael Affenzeller, Stefan Schneider:
On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization. EUROCAST 2009: 801-808 - [c24]Monika Kofler, Stefan Wagner, Andreas Beham, Gabriel Kronberger, Michael Affenzeller:
Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs. EUROCAST 2009: 817-824 - [c23]Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
On Crossover Success Rate in Genetic Programming with Offspring Selection. EuroGP 2009: 232-243 - [c22]Michael Affenzeller, Andreas Beham, Stefan Wagner, Stephan M. Winkler:
About the dynamics of essential genetic information: an empirical analysis for selected GA-variants. GEC Summit 2009: 787-790 - [c21]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine grained population diversity analysis for parallel genetic programming. IPDPS 2009: 1-8 - [c20]Andreas Beham, Monika Kofler, Stefan Wagner, Michael Affenzeller:
Coupling Simulation with HeuristicLab to Solve Facility Layout Problems. WSC 2009: 2205-2217 - [p1]Michael Affenzeller, Andreas Beham, Monika Kofler, Gabriel Kronberger, Stefan A. Wagner, Stephan M. Winkler:
Metaheuristic Optimization. Hagenberg Research 2009: 103-155 - [e1]Bruno Buchberger, Michael Affenzeller, Alois Ferscha, Michael Haller, Tudor Jebelean, Erich-Peter Klement, Peter Paule, Gustav Pomberger, Wolfgang Schreiner, Robert Stubenrauch, Roland R. Wagner, Gerhard Weiß, Wolfgang Windsteiger:
Hagenberg Research. Springer 2009, ISBN 978-3-642-02126-8 [contents] - 2008
- [c19]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Fine-grained population diversity estimation for genetic programming based structure identification. GECCO 2008: 1435-1436 - [c18]Andreas Beham, Stephan M. Winkler, Stefan Wagner, Michael Affenzeller:
A genetic programming approach to solve scheduling problems with parallel simulation. IPDPS 2008: 1-5 - 2007
- [j4]Stephan M. Winkler, Hajrudin Efendic, Luigi del Re, Michael Affenzeller, Stefan Wagner:
Online modelling based on Genetic Programming. Int. J. Intell. Syst. Technol. Appl. 2(2/3): 255-270 (2007) - [j3]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Advanced Genetic Programming Based Machine Learning. J. Math. Model. Algorithms 6(3): 455-480 (2007) - [c17]Stefan Wagner, Stephan M. Winkler, Erik Pitzer, Gabriel Kronberger, Andreas Beham, Roland Braune, Michael Affenzeller:
Benefits of Plugin-Based Heuristic Optimization Software Systems. EUROCAST 2007: 747-754 - [c16]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. EUROCAST 2007: 788-795 - [c15]Roland Braune, Stefan Wagner, Michael Affenzeller:
Optimization Methods for Large-Scale Production Scheduling Problems. EUROCAST 2007: 812-819 - [c14]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Self-adaptive Population Size Adjustment for Genetic Algorithms. EUROCAST 2007: 820-828 - [c13]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Aspects of adaptation in natural and artificial evolution. GECCO (Companion) 2007: 2595-2602 - 2006
- [c12]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. GECCO 2006: 1601-1602 - [c11]Stephan M. Winkler, Michael Affenzeller, Stefan Wagner:
Advances in applying genetic programming to machine learning, focussing on classification problems. IPDPS 2006 - 2005
- [c10]Stephan M. Winkler, Hajrudin Efendic, Michael Affenzeller, Luigi del Re, Stefan Wagner:
On-Line Modelling Based on Genetic Programming. ALaRT 2005: 119-130 - [c9]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
Goal-oriented preservation of essential genetic information by offspring selection. GECCO 2005: 1595-1596 - [c8]Stefan Wagner, Michael Affenzeller:
The Allele Meta-model - Developing a Common Language for Genetic Algorithms. IWINAC (2) 2005: 202-211 - [c7]Michael Affenzeller, Stefan Wagner, Stephan M. Winkler:
GA-Selection Revisited from an ES-Driven Point of View. IWINAC (2) 2005: 262-271 - 2004
- [j2]Michael Affenzeller, Stefan Wagner:
SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results. J. Heuristics 10(3): 243-267 (2004) - 2003
- [c6]Michael Affenzeller, Stefan Wagner:
A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms. EUROCAST 2003: 384-393 - [c5]Stefan Wagner, Michael Affenzeller, Ismail Khalil Ibrahim:
Agent-based Problem Solving: The Ant Colonies Metaphor. iiWAS 2003 - [c4]Michael Affenzeller, Stefan Wagner:
SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering. IWANN (1) 2003: 438-445 - 2002
- [c3]Michael Affenzeller:
New Generic Hybrids Based upon Genetic Algorithms. IBERAMIA 2002: 329-339 - 2001
- [j1]Michael Affenzeller:
Segregative Genetic Algorithms (SEGA): A hybrid superstructure upwards compatible to genetic algorithms for retarding premature convergence. Int. J. Comput. Syst. Signals 2(1): 16-30 (2001) - [c2]Michael Affenzeller, Franz Pichler, Rudolf Mittelmann:
On CAST.FSM Computation of Hierarchical Multi-layer Networks of Automata. EUROCAST 2001: 36-44 - [c1]Michael Affenzeller:
A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA). IWANN (1) 2001: 594-601
Coauthor Index
[c165] [c162] [j26] [c150] [c149] [i9] [i6] [j25] [c147] [c145] [j23] [c140] [c135] [c133] [i4] [c130] [c128] [c125] [c123] [j18] [c120] [c118] [c117] [c116] [c111] [c110] [c108] [c107] [c106] [c101] [c98] [c93] [c91] [c88] [c85] [p4] [j12] [j11] [c78] [c76] [c72] [c68] [i3] [c59] [c57] [c55] [c54] [c53] [c52] [p3] [c46] [c42] [b1] [c30] [c28] [c27] [c26] [c24] [c22] [c20] [p1] [c18] [c17]
[c171] [i19] [c158] [i15] [c153] [i10] [i9] [i8] [i7] [i6] [j24] [c144] [c142] [c134] [c132] [i5] [j20] [j19] [c122] [c119] [c116] [c113] [c112] [c108] [c105] [c103] [c97] [c96] [c94] [c91] [c90] [c88] [c87] [c85] [c84] [p7] [p6] [j13] [c82] [c81] [j9] [c78] [c77] [c70] [c66] [c65] [c62] [i2] [c60] [c55] [i1] [c48] [c45] [c43] [c40] [c39] [c36]
[c168] [c158] [i15] [i12] [i11] [i9] [i8] [i7] [i6] [j24] [c144] [c141] [c139] [c134] [c132] [i5] [j20] [c122] [c119] [c116] [c113] [c112] [c105] [c103] [j16] [c97] [c96] [c94] [c88] [c87] [c84] [p7] [p6] [j13] [c82] [c81] [j9] [c70] [c66] [c65] [c62] [i3] [i2] [c60] [c55] [i1] [c48] [c45] [c44] [c43] [c41] [c40] [c39] [c36] [c30] [c26] [c24] [c23] [p1] [c17]
Stefan Wagner 0002
aka: Stefan A. Wagner
aka: Stefan A. Wagner
[c165] [c162] [c161] [c159] [c150] [c149] [i6] [c147] [c145] [j23] [c136] [c133] [c128] [c125] [c123] [j18] [c120] [c118] [c117] [c116] [c113] [c111] [c110] [c108] [c107] [c106] [c105] [c100] [c99] [c98] [c95] [c93] [c92] [c91] [c89] [c86] [c85] [p4] [j12] [c81] [j11] [j9] [c74] [c72] [c69] [c66] [c62] [i3] [c60] [c59] [c58] [c56] [c55] [p3] [c49] [c46] [c45] [c44] [c43] [c42] [c38] [j6] [b1] [j5] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c24] [c23] [c22] [c21] [c20] [p1] [c19] [c18] [j4] [j3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [j2] [c6] [c5] [c4]
[e8] [e7] [e6] [e5] [c171] [i19] [c160] [c158] [i15] [c154] [c153] [i8] [i7] [c142] [c136] [c132] [j20] [c122] [c119] [c113] [c112] [c105] [c103] [j16] [c97] [c96] [j14] [c94] [c92] [c91] [c87] [c84] [p7] [p6] [p5] [j13] [c83] [c82] [c81] [c80] [j9] [c74] [c71] [c70] [c66] [c65] [c64] [c62] [i3] [c60] [p3] [c45] [c43] [c38] [c37] [j6] [c35] [b1] [j5] [c31] [c30] [c27] [c26] [c25] [c23] [c22] [c21] [p1] [c19] [c18] [j4] [j3] [c17] [c16] [c14] [c13] [c12] [c11] [c10] [c9] [c7]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-04 22:32 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
