Michael Affenzeller

According to our database, Michael Affenzeller authored at least 214 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Population diversity and inheritance in genetic programming for symbolic regression.

Bogdan Burlacu, Kaifeng Yang, Michael Affenzeller

Nat. Comput., September, 2024

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

Hao Wang, Kaifeng Yang, Michael Affenzeller

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Probabilistic Transformation of Distance-Based Outliers.

David Muhr, Michael Affenzeller, Josef Küng

Mach. Learn. Knowl. Extr., June, 2023

Probabilistic Distance-Based Outlier Detection.

David Muhr, Michael Affenzeller, Josef Küng

CoRR, 2023

Vectorial Genetic Programming - Optimizing Segments for Feature Extraction.

Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

CoRR, 2023

A Novel Benchmark Environment for Dynamic Factory Crane Scheduling.

Johannes Karder, Bernhard Werth, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Method of Process Optimization for LMD-Processes using Machine Learning Algorithms.

Holger Gröning, Jan Zenisek, Norbert Wild, Aziz Huskic, Michael Affenzeller

Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023

Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles.

David Muhr, Michael Affenzeller, Josef Küng

Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Gradients of Acquisition Functions for Bi-objective Bayesian optimization.

Kaifeng Yang, Sixuan Liu, Michael Affenzeller, Guozhi Dong

Proceedings of the 19th International Conference on Natural Computation, 2023

Shape-constrained Symbolic Regression: Real-World Applications in Magnetization, Extrusion and Data Validation.

Christian Haider, Fabrício Olivetti de França, Bogdan Burlacu, Florian Bachinger, Gabriel Kronberger, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XX [GPTP 2023], 2023

A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement.

Kaifeng Yang, Kai Chen, Michael Affenzeller, Bernhard Werth

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Evolutionary Algorithms for Segment Optimization in Vectorial GP.

Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Sara Silva, Leonardo Vanneschi, Michael Affenzeller

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation.

Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression.

Kaifeng Yang, Michael Affenzeller

Proceedings of the Evolutionary Multi-Criterion Optimization, 2023

2022

A parallel technique for multi-objective Bayesian global optimization: Using a batch selection of probability of improvement.

Kaifeng Yang, Michael Affenzeller, Guozhi Dong

Swarm Evol. Comput., 2022

OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language.

David Muhr, Michael Affenzeller, Anthony D. Blaom

CoRR, 2022

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization.

Hao Wang, Kaifeng Yang, Michael Affenzeller, Michael Emmerich

CoRR, 2022

Improving the Quantum Multi-Swarm Optimization with Adaptive Differential Evolution for Dynamic Environments.

Vladimir Stanovov, Shakhnaz Akhmedova, Alexey Vakhnin, Evgenii Sopov, Eugene Semenkin, Michael Affenzeller

Algorithms, 2022

Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way.

Michael Affenzeller, Michael Bögl, Lukas Fischer, Florian Sobieczky, Kaifeng Yang, Jan Zenisek

Proceedings of the 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2022

Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces.

David Muhr, Michael Affenzeller

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data.

Bogdan Burlacu, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XIX [GPTP 2022], 2022

Shapley Value Based Variable Interaction Networks for Data Stream Analysis.

Jan Zenisek, Sebastian Dorl, Dominik Falkner, Lukas Gaisberger, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance.

Bernhard Werth, Erik Pitzer, Johannes Karder, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints.

David Piringer, Stefan Wagner, Christian Haider, Armin Fohler, Siegfried Silber, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

Analysis and Handling of Dynamic Problem Changes in Open-Ended Optimization.

Johannes Karder, Bernhard Werth, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark.

David Muhr, Michael Affenzeller

Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021

Simulation-based optimisation for worker cross-training.

Johannes Karder, Andreas Beham, Viktoria A. Hauder, Klaus Altendorfer, Michael Affenzeller

Int. J. Simul. Process. Model., 2021

Machine Learning based Data Stream Merging in Additive Manufacturing.

Jan Zenisek, Holger Gröning, Norbert Wild, Aziz Huskic, Michael Affenzeller

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, 2021

Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging.

Kaifeng Yang, Michael Affenzeller

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, 2021

Fitness Landscape Analysis on Binary Dynamic Optimization Problems.

Bernhard Werth, Andreas Beham, Johannes Karder, Stefan Wagner, Michael Affenzeller

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, 2021

Little data is often enough for distance-based outlier detection.

David Muhr, Michael Affenzeller

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, 2021

Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times.

Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller

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, 2021

Grammar-Based Vectorial Genetic Programming for Symbolic Regression.

Philipp Fleck, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVIII [GPTP 2021]., 2021

Multi tree operators for genetic programming to identify optimal energy flow controllers.

Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stöger, Bernd Hofer, Michael Affenzeller, Stephan M. Winkler

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms.

Erik Pitzer, Michael Affenzeller

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Parameter identification for symbolic regression using nonlinear least squares.

Michael Kommenda, Bogdan Burlacu, Gabriel Kronberger, Michael Affenzeller

Genet. Program. Evolvable Mach., 2020

Resource-constrained multi-project scheduling with activity and time flexibility.

Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Sophie N. Parragh, Michael Affenzeller

Comput. Ind. Eng., 2020

Dynamic online optimization in the context of smart manufacturing: an overview.

Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Karl F. Doerner, Michael Affenzeller

Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020

Towards Knowledge-guided Genetic Improvement.

Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Workshops, Seoul, Republic of Korea, 27 June, 2020

Solution approaches for the dynamic stacking problem.

Sebastian Raggl, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Surrogate-assisted microscopic traffic simulation-based optimisation of routing parameters.

Bernhard Werth, Erik Pitzer, Christian Backfrieder, Gerald Ostermayer, Michael Affenzeller

Int. J. Simul. Process. Model., 2019

On constraint programming for a new flexible project scheduling problem with resource constraints.

Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Sophie N. Parragh, Michael Affenzeller

CoRR, 2019

Machine learning based concept drift detection for predictive maintenance.

Jan Zenisek, Florian Holzinger, Michael Affenzeller

Comput. Ind. Eng., 2019

Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval.

Judith Fechter, Andreas Beham, Stefan Wagner, Michael Affenzeller

Appl. Artif. Intell., 2019

Mining patterns from genetic improvement experiments.

Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller

Proceedings of the 6th International Workshop on Genetic Improvement, 2019

Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication.

Lukas Kammerer, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVII [GPTP 2019, 2019

Parsimony measures in multi-objective genetic programming for symbolic regression.

Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Uncertainty in real-world steel stacking problems.

Andreas Beham, Sebastian Raggl, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Concept Drift Detection with Variable Interaction Networks.

Jan Zenisek, Gabriel Kronberger, Josef Wolfartsberger, Norbert Wild, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Surrogate-Assisted Fitness Landscape Analysis for Computationally Expensive Optimization.

Bernhard Werth, Erik Pitzer, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Genetic Programming Based Evolvement of Models of Models.

Mariia Semenkina, Bogdan Burlacu, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Investigating the Dynamic Block Relocation Problem.

Sebastian Raggl, Andreas Beham, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

"Incremental" Evaluation for Genetic Crossover.

Erik Pitzer, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression.

Kathrin Kefer, Roland Hanghofer, Patrick Kefer, Markus Stöger, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner, Bernd Hofer

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Solving a Flexible Resource-Constrained Project Scheduling Problem Under Consideration of Activity Priorities.

Viktoria A. Hauder, Andreas Beham, Sebastian Raggl, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression.

Bogdan Burlacu, Lukas Kammerer, Michael Affenzeller, Gabriel Kronberger

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

White Box vs. Black Box Modeling: On the Performance of Deep Learning, Random Forests, and Symbolic Regression in Solving Regression Problems.

Michael Affenzeller, Bogdan Burlacu, Viktoria Dorfer, Sebastian Dorl, Gerhard Halmerbauer, Tilman Königswieser, Michael Kommenda, Julia Vetter, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure.

Bogdan Burlacu, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Novel robustness measures for engineering design optimisation.

Philipp Fleck, Michael Kommenda, Thorsten Prante, Michael Affenzeller

Int. J. Simul. Process. Model., 2018

Using robust generalized fuzzy modeling and enhanced symbolic regression to model tribological systems.

Gabriel Kronberger, Michael Kommenda, Edwin Lughofer, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller

Appl. Soft Comput., 2018

Modeling Sensor Networks for Predictive Maintenance.

Jan Zenisek, Josef Wolfartsberger, Christoph Sievi, Michael Affenzeller

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2018 Workshops, 2018

Cluster Analysis of a Symbolic Regression Search Space.

Gabriel Kronberger, Lukas Kammerer, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic Programming Theory and Practice XVI, 2018

Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes.

Bernhard Werth, Erik Pitzer, Gerald Ostermayer, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Discrete real-world problems in a black-box optimization benchmark.

Sebastian Raggl, Andreas Beham, Viktoria A. Hauder, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Dynamic fitness functions for genetic improvement in compilers and interpreters.

Oliver Krauss, Hanspeter Mössenböck, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Asynchronous surrogate-assisted optimization networks.

Johannes Karder, Andreas Beham, Bernhard Werth, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Confidence-based ensemble modeling in medical data mining.

Lukas Kammerer, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Schema-based diversification in genetic programming.

Bogdan Burlacu, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Algorithm selection on generalized quadratic assignment problem landscapes.

Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Local Optima Networks in Solving Algorithm Selection Problem for TSP.

Wojciech Bozejko, Andrzej Gnatowski, Teodor Nizynski, Michael Affenzeller, Andreas Beham

Proceedings of the Contemporary Complex Systems and Their Dependability, 2018

2017

Extending Sim# for simulation-based optimisation of semi-automated machinery.

Johannes Karder, Andreas Scheibenpflug, Andreas Beham, Stefan Wagner, Michael Affenzeller

Int. J. Simul. Process. Model., 2017

Optimization Approaches for the Physical Internet.

Viktoria A. Hauder, Erik Pitzer, Michael Affenzeller

Proceedings of the On the Move to Meaningful Internet Systems. OTM 2017 Workshops, 2017

Schema Analysis in Tree-Based Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Genetic Programming Theory and Practice XV, 2017

Enabling high-dimensional surrogate-assisted optimization by using sliding windows.

Bernhard Werth, Erik Pitzer, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Towards the design and implementation of optimization networks in HeuristicLab.

Johannes Karder, Stefan Wagner, Andreas Beham, Michael Kommenda, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Optimization networks for real-world production and logistics problems.

Viktoria A. Hauder, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Instance-based algorithm selection on quadratic assignment problem landscapes.

Andreas Beham, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.

Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles.

Jan Zenisek, Michael Affenzeller, Josef Wolfartsberger, Mathias Silmbroth, Christoph Sievi, Aziz Huskic, Herbert Jodlbauer

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

A Fair Performance Comparison of Different Surrogate Optimization Strategies.

Bernhard Werth, Erik Pitzer, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem.

Sebastian Raggl, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures.

Erik Pitzer, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Measures for the Evaluation and Comparison of Graphical Model Structures.

Gabriel Kronberger, Bogdan Burlacu, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Optimization Networks for Integrated Machine Learning.

Michael Kommenda, Johannes Karder, Andreas Beham, Bogdan Burlacu, Gabriel Kronberger, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Solving the Traveling Thief Problem Using Orchestration in Optimization Networks.

Johannes Karder, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

A General Solution Approach for the Location Routing Problem.

Viktoria A. Hauder, Johannes Karder, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis of Schema Frequencies in Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms.

Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Offspring Selection Genetic Algorithm Revisited: Improvements in Efficiency by Early Stopping Criteria in the Evaluation of Unsuccessful Individuals.

Michael Affenzeller, Bogdan Burlacu, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms.

Stefan Wagner, Andreas Beham, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016

Heterogeneous model ensembles for short-term prediction of stock market trends.

Stephan M. Winkler, Bonifacio Castaño, Sergio Luengo-Sanchez, Susanne Schaller, Gabriel Kronberger, Michael Affenzeller

Int. J. Simul. Process. Model., 2016

Distribution of waiting time for dynamic pickup and delivery problems.

Stefan Vonolfen, Michael Affenzeller

Ann. Oper. Res., 2016

Robust Fuzzy Modeling and Symbolic Regression for Establishing Accurate and Interpretable Prediction Models in Supervising Tribological Systems.

Edwin Lughofer, Gabriel Kronberger, Michael Kommenda, Susanne Saminger-Platz, Andreas Promberger, Falk Nickel, Stephan M. Winkler, Michael Affenzeller

Proceedings of the 8th International Joint Conference on Computational Intelligence, 2016

Similarity-Based Analysis of Population Dynamics in Genetic Programming Performing Symbolic Regression.

Stephan M. Winkler, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Michael Kommenda, Philipp Fleck

Proceedings of the Genetic Programming Theory and Practice XIV, 2016

Evolutionary Procedural 2D Map Generation using Novelty Search.

Andreas Scheibenpflug, Johannes Karder, Susanne Schaller, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization.

Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization.

Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Cyclic scheduling of a robotic cell.

Wojciech Bozejko, Andrzej Gnatowski, Ryszard Klempous, Michael Affenzeller, Andreas Beham

Proceedings of the 7th IEEE International Conference on Cognitive Infocommunications, 2016

2015

Identification and Classification of Objects and Motions in Microscopy Images of Biological Samples Using Heuristic Algorithms.

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

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Multi-Population Genetic Programming with Data Migration for Symbolic Regression.

Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, Stephan M. Winkler

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Robust Storage Assignment in Warehouses with Correlated Demand.

Monika Kofler, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Methods for Genealogy and Building Block Analysis in Genetic Programming.

Bogdan Burlacu, Michael Affenzeller, Stephan M. Winkler, Michael Kommenda, Gabriel Kronberger

Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Data-based prediction of sentiments using heterogeneous model ensembles.

Stephan M. Winkler, Susanne Schaller, Viktoria Dorfer, Michael Affenzeller, Gerald Petz, Michal P. Karpowicz

Soft Comput., 2015

Dynamic optimal power flow control with simulation-based evolutionary policy-function approximation.

Stephan Hutterer, Michael Affenzeller

Int. J. Simul. Process. Model., 2015

Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming.

Michael Kommenda, Gabriel Kronberger, Michael Affenzeller, Stephan M. Winkler, Bogdan Burlacu

Proceedings of the Genetic Programming Theory and Practice XIII [GPTP 2015]., 2015

Simplifying Problem Definitions in the HeuristicLab Optimization Environment.

Andreas Scheibenpflug, Andreas Beham, Michael Kommenda, Johannes Karder, Stefan Wagner, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Dynamics of Predictability and Variable Influences Identified in Financial Data Using Sliding Window Machine Learning.

Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Stefan Fink, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Diversity-Based Offspring Selection Criteria for Genetic Algorithms.

Andreas Scheibenpflug, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Using Contextual Information in Sequential Search for Grammatical Optimization Problems.

Gabriel Kronberger, Michael Kommenda, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Complexity Measures for Multi-objective Symbolic Regression.

Michael Kommenda, Andreas Beham, Michael Affenzeller, Gabriel Kronberger

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimizing Set-Up Times Using the HeuristicLab Optimization Environment.

Johannes Karder, Andreas Scheibenpflug, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Modeling a Lot-Aware Slab Stack Shuffling Problem.

Judith Fechter, Andreas Beham, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

On the Effectiveness of Genetic Operations in Symbolic Regression.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems.

Andreas Beham, Judith Fechter, Michael Kommenda, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling.

Michael Affenzeller, Karin Zölzer, Stephan M. Winkler, Erwin Hopf, Herbert Stekel, Rupert Frechinger, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection.

Stefan Wagner, Michael Affenzeller, Andreas Scheibenpflug

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014

Software-Enabled Investigation in Metaheuristic Power Grid Optimization.

Stephan Hutterer, Andreas Beham, Michael Affenzeller, Franz Auinger, Stefan Wagner

IEEE Trans. Ind. Informatics, 2014

Using FE Calculations and Data-Based System Identification Techniques to Model the Nonlinear Behavior of PMSMs.

Gerd Bramerdorfer, Stephan M. Winkler, Michael Kommenda, Günther Weidenholzer, Siegfried Silber, Gabriel Kronberger, Michael Affenzeller, Wolfgang Amrhein

IEEE Trans. Ind. Electron., 2014

Identification of a nonlinear PMSM model using symbolic regression and its application to current optimization scenarios.

Gerd Bramerdorfer, Wolfgang Amrhein, Stephan M. Winkler, Michael Affenzeller

Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner

Proceedings of the Genetic Programming Theory and Practice XII, 2014

Data based prediction of cancer diagnoses using heterogeneous model ensembles: a case study for breast cancer, melanoma, and cancer in the respiratory system.

Stephan M. Winkler, Michael Affenzeller, Susanne Schaller, Herbert Stekel

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Genetic programming with data migration for symbolic regression.

Michael Kommenda, Michael Affenzeller, Bogdan Burlacu, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013

Enhancing local search algorithms for job shops with min-sum objectives by approximate move evaluation.

Roland Braune, Günther Zäpfel, Michael Affenzeller

J. Sched., 2013

On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Viktoria Dorfer, Witold Jacak, Herbert Stekel

Int. J. Simul. Process. Model., 2013

Probabilistic Electric Vehicle Charging Optimized With Genetic Algorithms and a Two-Stage Sampling Scheme.

Stephan Hutterer, Michael Affenzeller

Int. J. Energy Optim. Eng., 2013

Simulation-based evolution of resupply and routing policies in rich vendor-managed inventory scenarios.

Stefan Vonolfen, Michael Affenzeller, Andreas Beham, Efrem Lengauer, Stefan Wagner

Central Eur. J. Oper. Res., 2013

Gaining Deeper Insights in Symbolic Regression.

Michael Affenzeller, Stephan M. Winkler, Gabriel Kronberger, Michael Kommenda, Bogdan Burlacu, Stefan Wagner

Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

Evolutionary identification of cancer predictors using clustered data: a case study for breast cancer, melanoma, and cancer in the respiratory system.

Stephan M. Winkler, Michael Affenzeller, Herbert Stekel

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Effects of constant optimization by nonlinear least squares minimization in symbolic regression.

Michael Kommenda, Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow.

Stephan Hutterer, Stefan Vonolfen, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Visualization of genetic lineages and inheritance information in genetic programming.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda, Stephan M. Winkler, Gabriel Kronberger

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem.

Brigitte Rafael, Michael Affenzeller, Stefan Wagner

Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2013

Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis.

Erik Pitzer, Andreas Beham, Michael Affenzeller

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2013

Evolutionary Algorithm Based Control Policies for Flexible Optimal Power Flow over Time.

Stephan Hutterer, Michael Affenzeller, Franz Auinger

Proceedings of the Applications of Evolutionary Computation - 16th European Conference, 2013

An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data.

Stephan M. Winkler, Michael Affenzeller, Herbert Stekel

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems.

Stefan Vonolfen, Andreas Beham, Michael Kommenda, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Measurement of Anisotropy in Fitness Landscapes.

Erik Pitzer, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Nonlinear Least Squares Optimization of Constants in Symbolic Regression.

Michael Kommenda, Michael Affenzeller, Gabriel Kronberger, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Yard Storage Assignment Optimisation with Neutral Walks.

Monika Kofler, Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Bridging the Gap between Rich Supply Chain Problems and the Effective Application of Metaheuristics through Ontology-Based Modeling.

Corinna Engelhardt-Nowitzki, Stefan Rotter, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

On the Evolutionary Behavior of Genetic Programming with Constants Optimization.

Bogdan Burlacu, Michael Affenzeller, Michael Kommenda

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Fitness Landscape Based Parameter Estimation for Robust Taboo Search.

Andreas Beham, Erik Pitzer, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation.

Michael Affenzeller, Stephan M. Winkler, Herbert Stekel, Stefan Forstenlechner, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Evolutionary computation enabled controlled charging for e-mobility aggregators.

Stephan Hutterer, Michael Affenzeller, Franz Auinger

Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

2012

A Comprehensive Survey on Fitness Landscape Analysis.

Erik Pitzer, Michael Affenzeller

Proceedings of the Recent Advances in Intelligent Engineering Systems, 2012

Analysis of Allele Distribution Dynamics in Different Genetic Algorithms.

Michael Affenzeller, Stefan Wagner, Stephan M. Winkler, Andreas Beham

Proceedings of the Recent Advances in Intelligent Engineering Systems, 2012

An exact approach for single machine subproblems in shifting bottleneck procedures for job shops with total weighted tardiness objective.

Roland Braune, Günther Zäpfel, Michael Affenzeller

Eur. J. Oper. Res., 2012

Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation.

Stefan Vonolfen, Monika Kofler, Andreas Beham, Michael Affenzeller, Werner Achleitner

Proceedings of the Winter Simulation Conference, 2012

Knowledge Discovery through Symbolic Regression with HeuristicLab.

Gabriel Kronberger, Stefan Wagner, Michael Kommenda, Andreas Beham, Andreas Scheibenpflug, Michael Affenzeller

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results.

Andreas Scheibenpflug, Stefan Wagner, Erik Pitzer, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem.

Brigitte Rafael, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Generic hardness estimation using fitness and parameter landscapes applied to robust taboo search and the quadratic assignment problem.

Erik Pitzer, Andreas Beham, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the architecture and implementation of tree-based genetic programming in HeuristicLab.

Michael Kommenda, Gabriel Kronberger, Stefan Wagner, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging.

Stephan Hutterer, Michael Affenzeller, Franz Auinger

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Integration of flexible interfaces in optimization software frameworks for simulation-based optimization.

Andreas Beham, Erik Pitzer, Stefan Wagner, Michael Affenzeller, Klaus Altendorfer, Thomas Felberbauer, Martin Bäck

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2011

Analysis of the effects of enhanced selection concepts for genetic programming based structure identification using fine-grained population diversity estimation.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Identification of cancer diagnosis estimation models using evolutionary algorithms: a case study for breast cancer, melanoma, and cancer in the respiratory system.

Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Overfitting detection and adaptive covariant parsimony pressure for symbolic regression.

Gabriel Kronberger, Michael Kommenda, Michael Affenzeller

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Macro-economic Time Series Modeling and Interaction Networks.

Gabriel Kronberger, Stefan Fink, Michael Kommenda, Michael Affenzeller

Proceedings of the Applications of Evolutionary Computation, 2011

Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset.

Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Michael Affenzeller

Proceedings of the Applications of Evolutionary Computation, 2011

Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process.

Alexandru-Ciprian Zavoianu, Gabriel Kronberger, Michael Kommenda, Daniela Zaharie, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, Stefan Wagner, Witold Jacak, Herbert Stekel

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem.

Stefan Vonolfen, Andreas Beham, Michael Affenzeller, Stefan Wagner, Andreas Mayr

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation.

Brigitte Rafael, Stefan Oertl, Michael Affenzeller, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Comprehensive and Automatic Fitness Landscape Analysis Using HeuristicLab.

Erik Pitzer, Michael Affenzeller, Andreas Beham, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Parameter Meta-optimization of Metaheuristic Optimization Algorithms.

Christoph Neumüller, Stefan Wagner, Gabriel Kronberger, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Market Basket Analysis of Retail Data: Supervised Learning Approach.

Gabriel Kronberger, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.

Michael Kommenda, Gabriel Kronberger, Christoph Feilmayr, Leonhard Schickmair, Michael Affenzeller, Stephan M. Winkler, Stefan Wagner

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Heuristic Power Scheduling of Electric Vehicle Battery Charging Based on Discrete Event Simulation.

Stephan Hutterer, Michael Affenzeller, Franz Auinger

Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Fitness Landscape Analysis of a Simulation Optimisation Problems with HeuristicLab.

Vitaly Bolshakov, Erik Pitzer, Michael Affenzeller

Proceedings of the UKSim 5th European Symposium on Computer Modeling and Simulation, 2011

Lower bounds for single machine subproblems occurring in weighted tardiness oriented shifting bottleneck procedures.

Roland Braune, Günther Zäpfel, Michael Affenzeller

Proceedings of the 2011 IEEE Symposium on Computational Intelligence in Scheduling, 2011

2010

Effective allele preservation by offspring selection: an empirical study for the TSP.

Michael Affenzeller, Stefan Wagner, Stephan M. Winkler

Int. J. Simul. Process. Model., 2010

Overview: A Simulation Based Metaheuristic Optimization Approach to Optimal Power Dispatch Related to a Smart Electric Grid.

Stephan Hutterer, Franz Auinger, Michael Affenzeller, Gerald Steinmaurer

Proceedings of the Life System Modeling and Intelligent Computing, 2010

Classification of tumor marker values using heuristic data mining methods.

Stephan M. Winkler, Michael Affenzeller, Witold Jacak, Herbert Stekel

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

2009

Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Genet. Program. Evolvable Mach., 2009

Coupling Simulation with HeuristicLab to Solve Facility Layout Problems.

Andreas Beham, Monika Kofler, Stefan Wagner, Michael Affenzeller

Proceedings of the 2009 Winter Simulation Conference, 2009

Fine grained population diversity analysis for parallel genetic programming.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

About the dynamics of essential genetic information: an empirical analysis for selected GA-variants.

Michael Affenzeller, Andreas Beham, Stefan Wagner, Stephan M. Winkler

Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

On Crossover Success Rate in Genetic Programming with Offspring Selection.

Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic Programming, 12th European Conference, 2009

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification.

Stephan M. Winkler, Markus Hirsch, Michael Affenzeller, Luigi del Re, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2009

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms.

Stefan Wagner, Gabriel Kronberger, Andreas Beham, Stephan M. Winkler, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory, 2009

Using Heuristic Optimization for Segmentation of Symbolic Music.

Brigitte Rafael, Stefan Oertl, Michael Affenzeller, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2009

On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization.

Rene Mayrhofer, Stephan M. Winkler, Helmut Hlavacs, Michael Affenzeller, Stefan Schneider

Proceedings of the Computer Aided Systems Theory, 2009

On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.

Gabriel Kronberger, Stephan M. Winkler, Michael Affenzeller, Andreas Beham, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2009

Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs.

Monika Kofler, Stefan Wagner, Andreas Beham, Gabriel Kronberger, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory, 2009

Heuristic Methods for Searching and Clustering Hierarchical Workflows.

Michael Kastner, Mohamed Wagdy Saleh, Stefan Wagner, Michael Affenzeller, Witold Jacak

Proceedings of the Computer Aided Systems Theory, 2009

Evolutionary Selection in Simulation-Based Optimization.

Andreas Beham, Monika Kofler, Michael Affenzeller, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2009

On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms.

Michael Affenzeller, Stephan M. Winkler, Andreas Beham, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2009

Music Segmentation With Genetic Algorithms.

Brigitte Rafael, Stefan Oertl, Michael Affenzeller, Stefan Wagner

Proceedings of the Database and Expert Systems Applications, 2009

Metaheuristic Optimization.

Michael Affenzeller, Andreas Beham, Monika Kofler, Gabriel Kronberger, Stefan A. Wagner, Stephan M. Winkler

Proceedings of the Hagenberg Research, 2009

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications.

Michael Affenzeller, Stephan M. Winkler, Stefan Wagner, Andreas Beham

CRC Press, ISBN: 978-1-58488-629-7, 2009

2008

A genetic programming approach to solve scheduling problems with parallel simulation.

Andreas Beham, Stephan M. Winkler, Stefan Wagner, Michael Affenzeller

Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Fine-grained population diversity estimation for genetic programming based structure identification.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007

Advanced Genetic Programming Based Machine Learning.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

J. Math. Model. Algorithms, 2007

Online modelling based on Genetic Programming.

Stephan M. Winkler, Hajrudin Efendic, Luigi del Re, Michael Affenzeller, Stefan Wagner

Int. J. Intell. Syst. Technol. Appl., 2007

Aspects of adaptation in natural and artificial evolution.

Michael Affenzeller, Stefan Wagner, Stephan M. Winkler

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2007

Benefits of Plugin-Based Heuristic Optimization Software Systems.

Stefan Wagner, Stephan M. Winkler, Erik Pitzer, Gabriel Kronberger, Andreas Beham, Roland Braune, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory, 2007

Optimization Methods for Large-Scale Production Scheduling Problems.

Roland Braune, Stefan Wagner, Michael Affenzeller

Proceedings of the Computer Aided Systems Theory, 2007

Self-adaptive Population Size Adjustment for Genetic Algorithms.

Michael Affenzeller, Stefan Wagner, Stephan M. Winkler

Proceedings of the Computer Aided Systems Theory, 2007

2006

Advances in applying genetic programming to machine learning, focussing on classification problems.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), 2006

Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification.

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005

The Allele Meta-model - Developing a Common Language for Genetic Algorithms.

Stefan Wagner, Michael Affenzeller

Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

GA-Selection Revisited from an ES-Driven Point of View.

Michael Affenzeller, Stefan Wagner, Stephan M. Winkler

Proceedings of the Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, 2005

Goal-oriented preservation of essential genetic information by offspring selection.

Michael Affenzeller, Stefan Wagner, Stephan M. Winkler

Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On-Line Modelling Based on Genetic Programming.

Stephan M. Winkler, Hajrudin Efendic, Michael Affenzeller, Luigi del Re, Stefan Wagner

Proceedings of the International Workshop on Automatic Learning and Real-Time, 2005

2004

SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results.

Michael Affenzeller, Stefan Wagner

J. Heuristics, 2004

2003

SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering.

Michael Affenzeller, Stefan Wagner

Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Agent-based Problem Solving: The Ant Colonies Metaphor.

Stefan Wagner, Michael Affenzeller, Ismail Khalil Ibrahim

Proceedings of the iiWAS'2003, 2003

A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms.

Michael Affenzeller, Stefan Wagner

Proceedings of the Computer Aided Systems Theory, 2003

2002

New Generic Hybrids Based upon Genetic Algorithms.

Michael Affenzeller

Proceedings of the Advances in Artificial Intelligence, 2002

2001

Segregative Genetic Algorithms (SEGA): A hybrid superstructure upwards compatible to genetic algorithms for retarding premature convergence.

Michael Affenzeller

Int. J. Comput. Syst. Signals, 2001

A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA).

Michael Affenzeller

Proceedings of the Connectionist Models of Neurons, 2001

On CAST.FSM Computation of Hierarchical Multi-layer Networks of Automata.

Michael Affenzeller, Franz Pichler, Rudolf Mittelmann

Proceedings of the Computer Aided Systems Theory, 2001