On CAST.FSM Computation of Hierarchical Multi-layer Networks of Automata. - Michael Affenzeller; Franz Pichler; Rudolf Mittelmann (EUROCAST, 2001)

A New Approach to Evolutionary Computation: Segregative Genetic Algorithms (SEGA). - Michael Affenzeller (IWANN (1), 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)

New Generic Hybrids Based upon Genetic Algorithms. - Michael Affenzeller (IBERAMIA, 2002)

A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms. - Michael Affenzeller; Stefan Wagner 002 (EUROCAST, 2003)

Agent-based Problem Solving: The Ant Colonies Metaphor. - Stefan Wagner 002; Michael Affenzeller; Ismail Khalil Ibrahim (iiWAS, 2003)

SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering. - Michael Affenzeller; Stefan Wagner 002 (IWANN (1), 2003)

SASEGASA: A New Generic Parallel Evolutionary Algorithm for Achieving Highest Quality Results. - Michael Affenzeller; Stefan Wagner 002 (J. Heuristics, 2004)

On-Line Modelling Based on Genetic Programming. - Stephan M. Winkler; Hajrudin Efendic; Michael Affenzeller; Luigi del Re; Stefan Wagner 002 (ALaRT, 2005)

Goal-oriented preservation of essential genetic information by offspring selection. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (GECCO, 2005)

GA-Selection Revisited from an ES-Driven Point of View. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (IWINAC (2), 2005)

The Allele Meta-model - Developing a Common Language for Genetic Algorithms. - Stefan Wagner 002; Michael Affenzeller (IWINAC (2), 2005)

Sets of receiver operating characteristic curves and their use in the evaluation of multi-class classification. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO, 2006)

Advances in applying genetic programming to machine learning, focussing on classification problems. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (IPDPS, 2006)

Self-adaptive Population Size Adjustment for Genetic Algorithms. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (EUROCAST, 2007)

Optimization Methods for Large-Scale Production Scheduling Problems. - Roland Braune; Stefan Wagner 002; Michael Affenzeller (EUROCAST, 2007)

Benefits of Plugin-Based Heuristic Optimization Software Systems. - Stefan Wagner 002; Stephan M. Winkler; Erik Pitzer; Gabriel Kronberger; Andreas Beham; Roland Braune; Michael Affenzeller (EUROCAST, 2007)

Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (EUROCAST, 2007)

Aspects of adaptation in natural and artificial evolution. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (GECCO (Companion), 2007)

Online modelling based on Genetic Programming. - Stephan M. Winkler; Hajrudin Efendic; Luigi del Re; Michael Affenzeller; Stefan Wagner 002 (Int. J. Intell. Syst. Technol. Appl., 2007)

Advanced Genetic Programming Based Machine Learning. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (J. Math. Model. Algorithms, 2007)

Fine-grained population diversity estimation for genetic programming based structure identification. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO, 2008)

A genetic programming approach to solve scheduling problems with parallel simulation. - Andreas Beham; Stephan M. Winkler; Stefan Wagner 002; Michael Affenzeller (IPDPS, 2008)

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications. - Michael Affenzeller; Stephan M. Winkler; Stefan Wagner 002; Andreas Beham (CRC Press, 2009)

Metaheuristic Optimization. - Michael Affenzeller; Andreas Beham; Monika Kofler; Gabriel Kronberger; Stefan A. Wagner; Stephan M. Winkler (Hagenberg Research, 2009)

Music Segmentation With Genetic Algorithms. - Brigitte Rafael; Stefan Oertl; Michael Affenzeller; Stefan Wagner 002 (DEXA Workshops, 2009)

On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms. - Michael Affenzeller; Stephan M. Winkler; Andreas Beham; Stefan Wagner 002 (EUROCAST, 2009)

Evolutionary Selection in Simulation-Based Optimization. - Andreas Beham; Monika Kofler; Michael Affenzeller; Stefan Wagner 002 (EUROCAST, 2009)

Heuristic Methods for Searching and Clustering Hierarchical Workflows. - Michael Kastner; Mohamed Wagdy Saleh; Stefan Wagner 002; Michael Affenzeller; Witold Jacak (EUROCAST, 2009)

Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs. - Monika Kofler; Stefan Wagner 002; Andreas Beham; Gabriel Kronberger; Michael Affenzeller (EUROCAST, 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 002 (EUROCAST, 2009)

On Structural Identification of 2D Regression Functions for Indoor Bluetooth Localization. - Rene Mayrhofer; Stephan M. Winkler; Helmut Hlavacs; Michael Affenzeller; Stefan Schneider (EUROCAST, 2009)

Using Heuristic Optimization for Segmentation of Symbolic Music. - Brigitte Rafael; Stefan Oertl; Michael Affenzeller; Stefan Wagner 002 (EUROCAST, 2009)

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms. - Stefan Wagner 002; Gabriel Kronberger; Andreas Beham; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 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 002 (EUROCAST, 2009)

On Crossover Success Rate in Genetic Programming with Offspring Selection. - Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (EuroGP, 2009)

About the dynamics of essential genetic information: an empirical analysis for selected GA-variants. - Michael Affenzeller; Andreas Beham; Stefan Wagner 002; Stephan M. Winkler (GEC Summit, 2009)

Fine grained population diversity analysis for parallel genetic programming. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (IPDPS, 2009)

Coupling Simulation with HeuristicLab to Solve Facility Layout Problems. - Andreas Beham; Monika Kofler; Stefan Wagner 002; Michael Affenzeller (WSC, 2009)

Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis. - Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (Genet. Program. Evolvable Mach., 2009)

Classification of tumor marker values using heuristic data mining methods. - Stephan M. Winkler; Michael Affenzeller; Witold Jacak; Herbert Stekel (GECCO (Companion), 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 (LSMS/ICSEE (2), 2010)

Effective allele preservation by offspring selection: an empirical study for the TSP. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler (Int. J. Simul. Process. Model., 2010)

Lower bounds for single machine subproblems occurring in weighted tardiness oriented shifting bottleneck procedures. - Roland Braune; Günther Zäpfel; Michael Affenzeller (CISched, 2011)

Fitness Landscape Analysis of a Simulation Optimisation Problems with HeuristicLab. - Vitaly Bolshakov; Erik Pitzer; Michael Affenzeller (EMS, 2011)

Heuristic Power Scheduling of Electric Vehicle Battery Charging Based on Discrete Event Simulation. - Stephan Hutterer; Michael Affenzeller; Franz Auinger (EUROCAST (1), 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 002 (EUROCAST (1), 2011)

Market Basket Analysis of Retail Data: Supervised Learning Approach. - Gabriel Kronberger; Michael Affenzeller (EUROCAST (1), 2011)

Parameter Meta-optimization of Metaheuristic Optimization Algorithms. - Christoph Neumüller; Stefan Wagner 002; Gabriel Kronberger; Michael Affenzeller (EUROCAST (1), 2011)

Comprehensive and Automatic Fitness Landscape Analysis Using HeuristicLab. - Erik Pitzer; Michael Affenzeller; Andreas Beham; Stefan Wagner 002 (EUROCAST (1), 2011)

Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation. - Brigitte Rafael; Stefan Oertl; Michael Affenzeller; Stefan Wagner 002 (EUROCAST (1), 2011)

Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem. - Stefan Vonolfen; Andreas Beham; Michael Affenzeller; Stefan Wagner 002; Andreas Mayr (EUROCAST (1), 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 002; Witold Jacak; Herbert Stekel (EUROCAST (1), 2011)

Improving the Parsimony of Regression Models for an Enhanced Genetic Programming Process. - Alexandru-Ciprian Zavoianu; Gabriel Kronberger; Michael Kommenda; Daniela Zaharie; Michael Affenzeller (EUROCAST (1), 2011)

Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset. - Michael Kommenda; Gabriel Kronberger; Christoph Feilmayr; Michael Affenzeller (EvoApplications (1), 2011)

Macro-economic Time Series Modeling and Interaction Networks. - Gabriel Kronberger; Stefan Fink; Michael Kommenda; Michael Affenzeller (EvoApplications (2), 2011)

Overfitting detection and adaptive covariant parsimony pressure for symbolic regression. - Gabriel Kronberger; Michael Kommenda; Michael Affenzeller (GECCO (Companion), 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 (GECCO (Companion), 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 002 (GECCO (Companion), 2011)

Integration of flexible interfaces in optimization software frameworks for simulation-based optimization. - Andreas Beham; Erik Pitzer; Stefan Wagner 002; Michael Affenzeller; Klaus Altendorfer; Thomas Felberbauer; Martin Bäck (GECCO (Companion), 2012)

Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging. - Stephan Hutterer; Michael Affenzeller; Franz Auinger (GECCO (Companion), 2012)

On the architecture and implementation of tree-based genetic programming in HeuristicLab. - Michael Kommenda; Gabriel Kronberger; Stefan Wagner 002; Stephan M. Winkler; Michael Affenzeller (GECCO (Companion), 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 (GECCO (Companion), 2012)

An adaption of the schema theorem to various crossover and mutation operators for a music segmentation problem. - Brigitte Rafael; Michael Affenzeller; Stefan Wagner 002 (GECCO (Companion), 2012)

Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results. - Andreas Scheibenpflug; Stefan Wagner 002; Erik Pitzer; Michael Affenzeller (GECCO (Companion), 2012)

Knowledge Discovery through Symbolic Regression with HeuristicLab. - Gabriel Kronberger; Stefan Wagner 002; Michael Kommenda; Andreas Beham; Andreas Scheibenpflug; Michael Affenzeller (ECML/PKDD (2), 2012)

Optimizing assembly line supply by integrating warehouse picking and forklift routing using simulation. - Stefan Vonolfen; Monika Kofler; Andreas Beham; Michael Affenzeller; Werner Achleitner (WSC, 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)

Analysis of Allele Distribution Dynamics in Different Genetic Algorithms. - Michael Affenzeller; Stefan Wagner 002; Stephan M. Winkler; Andreas Beham (Recent Advances in Intelligent Engineering Systems, 2012)

A Comprehensive Survey on Fitness Landscape Analysis. - Erik Pitzer; Michael Affenzeller (Recent Advances in Intelligent Engineering Systems, 2012)

Evolutionary computation enabled controlled charging for e-mobility aggregators. - Stephan Hutterer; Michael Affenzeller; Franz Auinger (CIASG, 2013)

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation. - Michael Affenzeller; Stephan M. Winkler; Herbert Stekel; Stefan Forstenlechner; Stefan Wagner 002 (EUROCAST (1), 2013)

Fitness Landscape Based Parameter Estimation for Robust Taboo Search. - Andreas Beham; Erik Pitzer; Michael Affenzeller (EUROCAST (1), 2013)

On the Evolutionary Behavior of Genetic Programming with Constants Optimization. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda (EUROCAST (1), 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 (EUROCAST (1), 2013)

Yard Storage Assignment Optimisation with Neutral Walks. - Monika Kofler; Andreas Beham; Erik Pitzer; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2013)

Nonlinear Least Squares Optimization of Constants in Symbolic Regression. - Michael Kommenda; Michael Affenzeller; Gabriel Kronberger; Stephan M. Winkler (EUROCAST (1), 2013)

Measurement of Anisotropy in Fitness Landscapes. - Erik Pitzer; Michael Affenzeller (EUROCAST (1), 2013)

Structural Synthesis of Dispatching Rules for Dynamic Dial-a-Ride Problems. - Stefan Vonolfen; Andreas Beham; Michael Kommenda; Michael Affenzeller (EUROCAST (1), 2013)

An Integrated Clustering and Classification Approach for the Analysis of Tumor Patient Data. - Stephan M. Winkler; Michael Affenzeller; Herbert Stekel (EUROCAST (1), 2013)

Evolutionary Algorithm Based Control Policies for Flexible Optimal Power Flow over Time. - Stephan Hutterer; Michael Affenzeller; Franz Auinger (EvoApplications, 2013)

Automatic Algorithm Selection for the Quadratic Assignment Problem Using Fitness Landscape Analysis. - Erik Pitzer; Andreas Beham; Michael Affenzeller (EvoCOP, 2013)

Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem. - Brigitte Rafael; Michael Affenzeller; Stefan Wagner 002 (EvoMUSART, 2013)

Visualization of genetic lineages and inheritance information in genetic programming. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda; Stephan M. Winkler; Gabriel Kronberger (GECCO (Companion), 2013)

Genetic programming enabled evolution of control policies for dynamic stochastic optimal power flow. - Stephan Hutterer; Stefan Vonolfen; Michael Affenzeller (GECCO (Companion), 2013)

Effects of constant optimization by nonlinear least squares minimization in symbolic regression. - Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller; Stefan Wagner 002 (GECCO (Companion), 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 (GECCO (Companion), 2013)

Gaining Deeper Insights in Symbolic Regression. - Michael Affenzeller; Stephan M. Winkler; Gabriel Kronberger; Michael Kommenda; Bogdan Burlacu; Stefan Wagner 002 (GPTP, 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 002 (Central Eur. J. Oper. Res., 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)

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 002; Viktoria Dorfer; Witold Jacak; Herbert Stekel (Int. J. Simul. Process. Model., 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)

Genetic programming with data migration for symbolic regression. - Michael Kommenda; Michael Affenzeller; Bogdan Burlacu; Gabriel Kronberger; Stephan M. Winkler (GECCO (Companion), 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 (GECCO (Companion), 2014)

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics. - Stephan M. Winkler; Michael Affenzeller; Gabriel Kronberger; Michael Kommenda; Bogdan Burlacu; Stefan Wagner 002 (GPTP, 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 (IECON, 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)

Software-Enabled Investigation in Metaheuristic Power Grid Optimization. - Stephan Hutterer; Andreas Beham; Michael Affenzeller; Franz Auinger; Stefan Wagner 002 (IEEE Trans. Ind. Informatics, 2014)

Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection. - Stefan Wagner 002; Michael Affenzeller; Andreas Scheibenpflug (EUROCAST, 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 002 (EUROCAST, 2015)

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems. - Andreas Beham; Judith Fechter; Michael Kommenda; Stefan Wagner 002; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2015)

On the Effectiveness of Genetic Operations in Symbolic Regression. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda (EUROCAST, 2015)

Modeling a Lot-Aware Slab Stack Shuffling Problem. - Judith Fechter; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (EUROCAST, 2015)

Optimizing Set-Up Times Using the HeuristicLab Optimization Environment. - Johannes Karder; Andreas Scheibenpflug; Stefan Wagner 002; Michael Affenzeller (EUROCAST, 2015)

Complexity Measures for Multi-objective Symbolic Regression. - Michael Kommenda; Andreas Beham; Michael Affenzeller; Gabriel Kronberger (EUROCAST, 2015)

Using Contextual Information in Sequential Search for Grammatical Optimization Problems. - Gabriel Kronberger; Michael Kommenda; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2015)

Diversity-Based Offspring Selection Criteria for Genetic Algorithms. - Andreas Scheibenpflug; Stefan Wagner 002; Michael Affenzeller (EUROCAST, 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 (EUROCAST, 2015)

Simplifying Problem Definitions in the HeuristicLab Optimization Environment. - Andreas Scheibenpflug; Andreas Beham; Michael Kommenda; Johannes Karder; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2015)

Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming. - Michael Kommenda; Gabriel Kronberger; Michael Affenzeller; Stephan M. Winkler; Bogdan Burlacu (GPTP, 2015)

Dynamic optimal power flow control with simulation-based evolutionary policy-function approximation. - Stephan Hutterer; Michael Affenzeller (Int. J. Simul. Process. Model., 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)

Methods for Genealogy and Building Block Analysis in Genetic Programming. - Bogdan Burlacu; Michael Affenzeller; Stephan M. Winkler; Michael Kommenda; Gabriel Kronberger (Computational Intelligence and Efficiency in Engineering Systems, 2015)

Robust Storage Assignment in Warehouses with Correlated Demand. - Monika Kofler; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (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 (Computational Intelligence and Efficiency in Engineering Systems, 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; et al. (Computational Intelligence and Efficiency in Engineering Systems, 2015)

Cyclic scheduling of a robotic cell. - Wojciech Bozejko; Andrzej Gnatowski; Ryszard Klempous; Michael Affenzeller; Andreas Beham (CogInfoCom, 2016)

Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization. - Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2016)

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization. - Andreas Beham; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2016)

Evolutionary Procedural 2D Map Generation using Novelty Search. - Andreas Scheibenpflug; Johannes Karder; Susanne Schaller; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 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 (GPTP, 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 (IJCCI (FCTA), 2016)

Distribution of waiting time for dynamic pickup and delivery problems. - Stefan Vonolfen; Michael Affenzeller (Ann. Oper. Res., 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)

Analysis and Visualization of the Impact of Different Parameter Configurations on the Behavior of Evolutionary Algorithms. - Stefan Wagner 002; Andreas Beham; Michael Affenzeller (EUROCAST (1), 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 002 (EUROCAST (1), 2017)

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms. - Andreas Beham; Erik Pitzer; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2017)

Analysis of Schema Frequencies in Genetic Programming. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler (EUROCAST (1), 2017)

A General Solution Approach for the Location Routing Problem. - Viktoria A. Hauder; Johannes Karder; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2017)

Solving the Traveling Thief Problem Using Orchestration in Optimization Networks. - Johannes Karder; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2017)

Optimization Networks for Integrated Machine Learning. - Michael Kommenda; Johannes Karder; Andreas Beham; Bogdan Burlacu; Gabriel Kronberger; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2017)

Measures for the Evaluation and Comparison of Graphical Model Structures. - Gabriel Kronberger; Bogdan Burlacu; Michael Kommenda; Stephan M. Winkler; Michael Affenzeller (EUROCAST (1), 2017)

Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures. - Erik Pitzer; Michael Affenzeller (EUROCAST (1), 2017)

Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem. - Sebastian Raggl; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2017)

A Fair Performance Comparison of Different Surrogate Optimization Strategies. - Bernhard Werth; Erik Pitzer; Michael Affenzeller (EUROCAST (1), 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 (EUROCAST (1), 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 002 (GECCO (Companion), 2017)

Instance-based algorithm selection on quadratic assignment problem landscapes. - Andreas Beham; Michael Affenzeller; Stefan Wagner 002 (GECCO (Companion), 2017)

Optimization networks for real-world production and logistics problems. - Viktoria A. Hauder; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2017)

Towards the design and implementation of optimization networks in HeuristicLab. - Johannes Karder; Stefan Wagner 002; Andreas Beham; Michael Kommenda; Michael Affenzeller (GECCO (Companion), 2017)

Enabling high-dimensional surrogate-assisted optimization by using sliding windows. - Bernhard Werth; Erik Pitzer; Michael Affenzeller (GECCO (Companion), 2017)

Schema Analysis in Tree-Based Genetic Programming. - Bogdan Burlacu; Michael Affenzeller; Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler (GPTP, 2017)

Optimization Approaches for the Physical Internet. - Viktoria A. Hauder; Erik Pitzer; Michael Affenzeller (OTM Workshops, 2017)

Extending Sim# for simulation-based optimisation of semi-automated machinery. - Johannes Karder; Andreas Scheibenpflug; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (Int. J. Simul. Process. Model., 2017)

Local Optima Networks in Solving Algorithm Selection Problem for TSP. - Wojciech Bozejko; Andrzej Gnatowski; Teodor Nizynski; Michael Affenzeller; Andreas Beham (DepCoS-RELCOMEX, 2018)

Algorithm selection on generalized quadratic assignment problem landscapes. - Andreas Beham; Stefan Wagner 002; Michael Affenzeller (GECCO, 2018)

Schema-based diversification in genetic programming. - Bogdan Burlacu; Michael Affenzeller (GECCO, 2018)

Confidence-based ensemble modeling in medical data mining. - Lukas Kammerer; Michael Affenzeller (GECCO (Companion), 2018)

Asynchronous surrogate-assisted optimization networks. - Johannes Karder; Andreas Beham; Bernhard Werth; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2018)

Dynamic fitness functions for genetic improvement in compilers and interpreters. - Oliver Krauss; Hanspeter Mössenböck; Michael Affenzeller (GECCO (Companion), 2018)

Discrete real-world problems in a black-box optimization benchmark. - Sebastian Raggl; Andreas Beham; Viktoria A. Hauder; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2018)

Quasi-bistability of walk-based landscape measures in stochastic fitness landscapes. - Bernhard Werth; Erik Pitzer; Gerald Ostermayer; Michael Affenzeller (GECCO, 2018)

Cluster Analysis of a Symbolic Regression Search Space. - Gabriel Kronberger; Lukas Kammerer; Bogdan Burlacu; Stephan M. Winkler; Michael Kommenda; Michael Affenzeller (GPTP, 2018)

Modeling Sensor Networks for Predictive Maintenance. - Jan Zenisek; Josef Wolfartsberger; Christoph Sievi; Michael Affenzeller (OTM Workshops, 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)

Novel robustness measures for engineering design optimisation. - Philipp Fleck; Michael Kommenda; Thorsten Prante; Michael Affenzeller (Int. J. Simul. Process. Model., 2018)

Online Diversity Control in Symbolic Regression via a Fast Hash-based Tree Similarity Measure. - Bogdan Burlacu; Michael Affenzeller; Gabriel Kronberger; Michael Kommenda (CEC, 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 (EUROCAST (1), 2019)

Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression. - Bogdan Burlacu; Lukas Kammerer; Michael Affenzeller; Gabriel Kronberger (EUROCAST (1), 2019)

Solving a Flexible Resource-Constrained Project Scheduling Problem Under Consideration of Activity Priorities. - Viktoria A. Hauder; Andreas Beham; Sebastian Raggl; Michael Affenzeller (EUROCAST (1), 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 002; Bernd Hofer (EUROCAST (1), 2019)

"Incremental" Evaluation for Genetic Crossover. - Erik Pitzer; Michael Affenzeller (EUROCAST (1), 2019)

Investigating the Dynamic Block Relocation Problem. - Sebastian Raggl; Andreas Beham; Michael Affenzeller (EUROCAST (1), 2019)

Genetic Programming Based Evolvement of Models of Models. - Mariia Semenkina; Bogdan Burlacu; Michael Affenzeller (EUROCAST (1), 2019)

Surrogate-Assisted Fitness Landscape Analysis for Computationally Expensive Optimization. - Bernhard Werth; Erik Pitzer; Michael Affenzeller (EUROCAST (1), 2019)

Concept Drift Detection with Variable Interaction Networks. - Jan Zenisek; Gabriel Kronberger; Josef Wolfartsberger; Norbert Wild; Michael Affenzeller (EUROCAST (1), 2019)

Uncertainty in real-world steel stacking problems. - Andreas Beham; Sebastian Raggl; Stefan Wagner 002; Michael Affenzeller (GECCO (Companion), 2019)

Parsimony measures in multi-objective genetic programming for symbolic regression. - Bogdan Burlacu; Gabriel Kronberger; Michael Kommenda; Michael Affenzeller (GECCO (Companion), 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 (GPTP, 2019)

Mining patterns from genetic improvement experiments. - Oliver Krauss; Hanspeter Mössenböck; Michael Affenzeller (GI@ICSE, 2019)

Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval. - Judith Fechter; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (Appl. Artif. Intell., 2019)

Machine learning based concept drift detection for predictive maintenance. - Jan Zenisek; Florian Holzinger; Michael Affenzeller (Comput. Ind. Eng., 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)

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)

Solution approaches for the dynamic stacking problem. - Sebastian Raggl; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (GECCO Companion, 2020)

Towards Knowledge-guided Genetic Improvement. - Oliver Krauss; Hanspeter Mössenböck; Michael Affenzeller (ICSE (Workshops), 2020)

Dynamic online optimization in the context of smart manufacturing: an overview. - Viktoria A. Hauder; Andreas Beham; Stefan Wagner 002; Karl F. Doerner; Michael Affenzeller (ISM, 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)

Parameter identification for symbolic regression using nonlinear least squares. - Michael Kommenda; Bogdan Burlacu; Gabriel Kronberger; Michael Affenzeller (Genet. Program. Evolvable Mach., 2020)

Cheating Like The Neighbors: Logarithmic Complexity For Fitness Evaluation In Genetic Algorithms. - Erik Pitzer; Michael Affenzeller (CEC, 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 (GECCO Companion, 2021)

Grammar-Based Vectorial Genetic Programming for Symbolic Regression. - Philipp Fleck; Stephan M. Winkler; Michael Kommenda; Michael Affenzeller (GPTP, 2021)

Integrated Machine Learning in Open-Ended Crane Scheduling: Learning Movement Speeds and Service Times. - Johannes Karder; Andreas Beham; Bernhard Werth; Stefan Wagner 002; Michael Affenzeller (ISM, 2021)

Little data is often enough for distance-based outlier detection. - David Muhr; Michael Affenzeller (ISM, 2021)

Fitness Landscape Analysis on Binary Dynamic Optimization Problems. - Bernhard Werth; Andreas Beham; Johannes Karder; Stefan Wagner 002; Michael Affenzeller (ISM, 2021)

Quantifying Uncertainties of Residuals in Symbolic Regression via Kriging. - Kaifeng Yang; Michael Affenzeller (ISM, 2021)

Machine Learning based Data Stream Merging in Additive Manufacturing. - Jan Zenisek; Holger Gröning; Norbert Wild; Aziz Huskic; Michael Affenzeller (ISM, 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)

Outlier/Anomaly Detection of Univariate Time Series: A Dataset Collection and Benchmark. - David Muhr; Michael Affenzeller (DaWaK, 2022)

Analysis and Handling of Dynamic Problem Changes in Open-Ended Optimization. - Johannes Karder; Bernhard Werth; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (EUROCAST, 2022)

Improving the Flexibility of Shape-Constrained Symbolic Regression with Extended Constraints. - David Piringer; Stefan Wagner 002; Christian Haider; Armin Fohler; Siegfried Silber; Michael Affenzeller (EUROCAST, 2022)

Dynamic Vehicle Routing with Time-Linkage: From Problem States to Algorithm Performance. - Bernhard Werth; Erik Pitzer; Johannes Karder; Stefan Wagner 002; Michael Affenzeller (EUROCAST, 2022)

Shapley Value Based Variable Interaction Networks for Data Stream Analysis. - Jan Zenisek; Sebastian Dorl; Dominik Falkner; Lukas Gaisberger; Stephan M. Winkler; Michael Affenzeller (EUROCAST, 2022)

Symbolic Regression in Materials Science: Discovering Interatomic Potentials from Data. - Bogdan Burlacu; Michael Kommenda; Gabriel Kronberger; Stephan M. Winkler; Michael Affenzeller (GPTP, 2022)

Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces. - David Muhr; Michael Affenzeller (AIAI (2), 2022)

Method of Process Optimization for LMD-Processes using Machine Learning Algorithms. - Holger Gröning; Jan Zenisek; Norbert Wild; Aziz Huskic; Michael Affenzeller (ISM, 2022)

A Novel Benchmark Environment for Dynamic Factory Crane Scheduling. - Johannes Karder; Bernhard Werth; Andreas Beham; Stefan Wagner 002; Michael Affenzeller (ISM, 2022)

Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way. - Michael Affenzeller; Michael Bögl; Lukas Fischer 001; Florian Sobieczky; Kaifeng Yang; Jan Zenisek (SYNASC, 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)

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. - Hao Wang 025; Kaifeng Yang; Michael Affenzeller; Michael Emmerich 001 (CoRR, 2022)

OutlierDetection.jl: A modular outlier detection ecosystem for the Julia programming language. - David Muhr; Michael Affenzeller; Anthony D. Blaom (CoRR, 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)

Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression. - Kaifeng Yang; Michael Affenzeller (EMO, 2023)

Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. - Du Nguyen Duy; Michael Affenzeller; Ramin Nikzad-Langerodi (GECCO Companion, 2023)

Evolutionary Algorithms for Segment Optimization in Vectorial GP. - Philipp Fleck; Stephan M. Winkler; Michael Kommenda; Sara Silva; Leonardo Vanneschi; Michael Affenzeller (GECCO Companion, 2023)

A New Acquisition Function for Multi-objective Bayesian Optimization: Correlated Probability of Improvement. - Kaifeng Yang; Kai Chen; Michael Affenzeller; Bernhard Werth (GECCO Companion, 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 (GPTP, 2023)

Gradients of Acquisition Functions for Bi-objective Bayesian optimization. - Kaifeng Yang; Sixuan Liu; Michael Affenzeller; Guozhi Dong (ICNC-FSKD, 2023)

Implicit Directed Acyclic Graphs (DAGs) for Parallel Outlier/Anomaly Detection Ensembles. - David Muhr; Michael Affenzeller; Josef Küng (AIAI (2), 2023)

Automated Machine Learning for Industrial Applications - Challenges and Opportunities. - Florian Bachinger; Jan Zenisek; Michael Affenzeller (ISM, 2023)

Integrating Machine Learning into Supply Chain Management: Challenges and Opportunities. - Dominik Falkner; Michael Bögl; Anna Gattinger; Roman Stainko; Jan Zenisek; Michael Affenzeller (ISM, 2023)

A messaging library for distributed modeling. - Jan Zenisek; Florian Bachinger; Dominik Falkner; Erik Pitzer; Stefan Wagner 002; Alfredo Lopez; Michael Affenzeller (ISM, 2023)

Probabilistic Distance-Based Outlier Detection. - David Muhr; Michael Affenzeller; Josef Küng (CoRR, 2023)

A Probabilistic Transformation of Distance-Based Outliers. - David Muhr; Michael Affenzeller; Josef Küng (Mach. Learn. Knowl. Extr., 2023)

Automated Inference of Domain Knowledge in Scientific Machine Learning. - Florian Bachinger; Christian Haider; Jan Zenisek; Fabrício Olivetti de França; Michael Affenzeller (EUROCAST (1), 2024)

VFLBench: A Practical Benchmark for Vertical Federated Learning in Smart Manufacturing. - Du Nguyen Duy; Ramin Nikzad-Langerodi; Michael Affenzeller (EUROCAST (1), 2024)

A Hybrid Cooperative Approach for Symbolic Regression. - Bahareh Etaati; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2024)

Surrogates for Fair-Weather Photovoltaic Module Output. - Dominik Falkner; Michael Bögl; Ines Langthallner; Jan Zenisek; Michael Affenzeller (EUROCAST (3), 2024)

Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. - Philipp Fleck; Stephan Winkler 001; Michael Kommenda; Michael Affenzeller (EUROCAST (1), 2024)

Concurrent Evolution of Dynamic Single and Dual-Crane Scheduling Scenarios. - Johannes Karder; Bernhard Werth; Stefan Wagner 002; Michael Affenzeller (EUROCAST (3), 2024)

Incrementally Solving the Dynamic Stacking Problem. - Sebastian Leitner; Stefan Wagner 002; Michael Affenzeller (EUROCAST (3), 2024)

Diversity Management in Evolutionary Dynamic Optimization. - Bernhard Werth; Johannes Karder; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2024)

Age-Layer-Population-Structure with Self-adaptation in Optimization. - Kaifeng Yang; Bernhard Werth; Michael Affenzeller (EUROCAST (3), 2024)

Composable Evolutionary Computation. - Jan Zenisek; Florian Bachinger; Florian Holzinger; Erik Pitzer; Stefan Wagner 002; Michael Affenzeller (EUROCAST (1), 2024)

Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization. - Hao Wang 025; Kaifeng Yang; Michael Affenzeller (ICML, 2024)

Adaptive Operators for Genetic Programming to Identify Optimal Energy Flow Controllers. - Kathrin Kefer; Michael Affenzeller; Stephan M. Winkler (ISM, 2024)

Population diversity and inheritance in genetic programming for symbolic regression. - Bogdan Burlacu; Kaifeng Yang; Michael Affenzeller (Nat. Comput., 2024)

Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts. - Marcel Salvenmoser; Michael Affenzeller (EvoMUSART, 2025)