Michael Affenzeller

发表

Using Genetic Programming in Nonlinear Model Identification

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2012 .

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

Michael Affenzeller, Stefan Wagner, M. Affenzeller, 2004, J. Heuristics.

Smart maintenance lifecycle management: a design proposal

Antonio Padovano, Michael Affenzeller, Letizia Nicoletti, 2017 .

Symbolic regression with sampling

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2010 .

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

Witold Jacak, Stephan M. Winkler, Michael Affenzeller, 2011, GECCO.

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2011, EUROCAST.

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

Michael Affenzeller, Gerald Ostermayer, Bernhard Werth, 2018, GECCO.

Evolving Programs: Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2011, EvoApplications.

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

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2012, GECCO '12.

Mutation effects in genetic algorithms with offspring selection applied to combinatorial optimization problems

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2010 .

Solving large-scale vehicle routing problem instances using an island-model offspring selection genetic algorithm

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2011, 3rd IEEE International Symposium on Logistics and Industrial Informatics.

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

Michael Affenzeller, Stephan Hutterer, Franz Auinger, 2013, EvoApplications.

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

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2013, EvoCOP.

Re-warehousing vs. healing: Strategies for warehouse storage location assignment

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2011, 3rd IEEE International Symposium on Logistics and Industrial Informatics.

Macro-economic Time Series Modeling and Interaction Networks

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2011, EvoApplications.

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

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2016, Int. J. Simul. Process. Model..

Reassigning storage locations in a warehouse to optimize the order picking process

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2010 .

Gaining Deeper Insights in Symbolic Regression

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2013, GPTP.

On-line parameter optimization strategies for metaheuristics

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2010 .

Evolutionary computation enabled controlled charging for e-mobility aggregators

Michael Affenzeller, Stephan Hutterer, Franz Auinger, 2013, 2013 IEEE Computational Intelligence Applications in Smart Grid (CIASG).

Parsimony measures in multi-objective genetic programming for symbolic regression

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2019, GECCO.

Yard Storage Assignment Optimisation with Neutral Walks

Michael Affenzeller, Stefan Wagner, Erik Pitzer, 2013, EUROCAST.

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

Witold Jacak, Stephan M. Winkler, Michael Affenzeller, 2013, Int. J. Simul. Process. Model..

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

Michael Affenzeller, Stephan Hutterer, Franz Auinger, 2011, EUROCAST.

Session details: EvoSoft'15 Workshop

Michael Affenzeller, Stefan Wagner, 2015, GECCO 2015.

A General Solution Approach for the Location Routing Problem

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, EUROCAST.

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

Michael Affenzeller, 2001, IWANN.

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

Michael Affenzeller, Stephan Hutterer, Stefan Vonolfen, 2013, GECCO.

A Comprehensive Survey on Fitness Landscape Analysis

Michael Affenzeller, Erik Pitzer, M. Affenzeller, 2012, Recent Advances in Intelligent Engineering Systems.

Fitness Landscape Based Parameter Estimation for Robust Taboo Search

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2013, EUROCAST.

Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2015, EUROCAST.

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

Witold Jacak, Stephan M. Winkler, Michael Affenzeller, 2011, EUROCAST.

Cluster Analysis of a Symbolic Regression Search Space

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2018, GPTP.

DEVS Simulation of Spiking Neural Networks

Michael Affenzeller, Herbert Prähofer, Rene Mayrhofer, 2003 .

Variables diversity in systems identification based on extended genetic programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2008 .

Sliding Window Symbolic Regression for Predictive Maintenance Using Model Ensembles

Michael Affenzeller, Jan Zenisek, Herbert Jodlbauer, 2017, EUROCAST.

Prediction of blood demands in a hospital

Stephan M. Winkler, Michael Affenzeller, Herbert Stekel, 2010 .

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2014, GPTP.

Online modelling based on Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007, Int. J. Intell. Syst. Technol. Appl..

Combinatorial Optimization: Route Planning

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005, IWINAC.

Optimization Approaches for the Physical Internet

Michael Affenzeller, Erik Pitzer, Viktoria A. Hauder, 2017, OTM Workshops.

Evolutionary Selection in Simulation-Based Optimization

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2009, EUROCAST.

Fitness Landscape Analysis of a Simulation Optimisation Problems with HeuristicLab

Michael Affenzeller, Erik Pitzer, Vitaly Bolshakov, 2011, 2011 UKSim 5th European Symposium on Computer Modeling and Simulation.

Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation

Michael Affenzeller, Stefan Wagner, Brigitte Rafael, 2011, EUROCAST.

Evolutionary Procedural 2D Map Generation using Novelty Search

Michael Affenzeller, Stefan Wagner, Susanne Schaller, 2016, GECCO.

Modeling a Lot-Aware Slab Stack Shuffling Problem

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2015, EUROCAST.

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

Michael Affenzeller, Stefan Wagner, Brigitte Rafael, 2013, EvoMUSART.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, Genetic Programming and Evolvable Machines.

Robust Storage Assignment in Warehouses with Correlated Demand

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2015, Computational Intelligence and Efficiency in Engineering Systems.

Traps and Dangers when Modelling Problems for Genetic Algorithms

Michael Affenzeller, Stefan Wagner, Daniel Schragl, 2004 .

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

Edwin Lughofer, Stephan M. Winkler, Michael Affenzeller, 2016, IJCCI.

Agent-based Problem Solving: The Ant Colonies Metaphor

Ismail Khalil, Michael Affenzeller, Stefan Wagner, 2003, iiWAS.

On-Line Modelling Based on Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005, ALaRT.

Solving Multiclass Classification Problems by Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005 .

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2019, Appl. Artif. Intell..

Cyclic scheduling of a robotic cell

Michael Affenzeller, Wojciech Bozejko, Ryszard Klempous, 2016, 2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).

Parameter selection for PCMA* using surrogate-assisted black-box optimization and microscopic traffic simulation

Michael Affenzeller, Christian Backfrieder, Bernhard Werth, 2017 .

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

Michael Affenzeller, Günther Zäpfel, Roland Braune, 2013, Journal of Scheduling.

Data-based prediction of sentiments using heterogeneous model ensembles

Stephan M. Winkler, Michael Affenzeller, Michal Karpowicz, 2015, Soft Comput..

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

Michael Affenzeller, M. Affenzeller, 2001, Int. J. Comput. Syst. Signals.

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

Stephan M. Winkler, Michael Affenzeller, Herbert Stekel, 2013, EUROCAST.

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

Michael Affenzeller, Stephan Hutterer, M. Affenzeller, 2015, Int. J. Simul. Process. Model..

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2018, GECCO.

Incorporating physical knowledge about the formation of nitric oxides into evolutionary system identification

Stephan M. Winkler, Michael Affenzeller, Luigi del Re, 2008 .

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

Michael Affenzeller, Stefan Wagner, Erik Pitzer, 2012, GECCO '12.

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

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

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, 2013, GECCO.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2017, GECCO.

Agent-Based Simulation of Dispatching Rules in Dynamic Pickup and Delivery Problems

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2009, 2009 2nd International Symposium on Logistics and Industrial Informatics.

Fine grained population diversity analysis for parallel genetic programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, 2009 IEEE International Symposium on Parallel & Distributed Processing.

Asynchronous surrogate-assisted optimization networks

Michael Affenzeller, Stefan Wagner, Bernhard Werth, 2018, GECCO.

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, Int. J. Simul. Process. Model..

EFFICIENT HEURISTIC OPTIMIZATION IN SINGLE MACHINE SCHEDULING

Michael Affenzeller, Stefan Wagner, Roland Braune, 2006 .

Heuristic Methods for Searching and Clustering Hierarchical Workflows

Witold Jacak, Michael Affenzeller, Stefan Wagner, 2009, EUROCAST.

Distribution of waiting time for dynamic pickup and delivery problems

Michael Affenzeller, Stefan Vonolfen, M. Affenzeller, 2016, Ann. Oper. Res..

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

Michael Affenzeller, Stefan Wagner, Brigitte Rafael, 2012, GECCO '12.

Schema-based diversification in genetic programming

Michael Affenzeller, Bogdan Burlacu, 2018, GECCO.

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

Michael Affenzeller, Bernhard Werth, Erik Pitzer, 2017, GECCO.

Analysis of uncertainty in engineering design optimization problems

Michael Affenzeller, Michael Kommenda, Thorsten Prante, 2016 .

Simulation-based evolution of municipal glass-waste collection strategies utilizing electric trucks

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2011, 3rd IEEE International Symposium on Logistics and Industrial Informatics.

Advanced Genetic Programming Based Machine Learning

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007, J. Math. Model. Algorithms.

Optimization networks for real-world production and logistics problems

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, GECCO.

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

Michael Affenzeller, Günther Zäpfel, Roland Braune, 2011, 2011 IEEE Symposium on Computational Intelligence in Scheduling (SCIS).

On the Reliability of Nonlinear Modeling using Enhanced Genetic Programming Techniques

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

Box-Type Boom Design Using Surrogate Modeling: Introducing an Industrial Optimization Benchmark

Michael Affenzeller, Michael Kommenda, Martin Schwarz, 2018, Computational Methods in Applied Sciences.

Session details: Workshop: evolutionary computation software systems

Michael Affenzeller, Stefan Wagner, 2014, GECCO 2014.

Market Basket Analysis of Retail Data: Supervised Learning Approach

Michael Affenzeller, Gabriel Kronberger, M. Affenzeller, 2011, EUROCAST.

Applying Genetic Algorithms to the Optimization of Production Planning in a Real-World Manufacturing Environment

Michael Affenzeller, Stefan Wagner, Roland Braune, 2007 .

Towards the design and implementation of optimization networks in HeuristicLab

Michael Affenzeller, Stefan Wagner, Michael Kommenda, 2017, GECCO.

On the Effectiveness of Genetic Operations in Symbolic Regression

Michael Affenzeller, Michael Kommenda, Bogdan Burlacu, 2015, EUROCAST.

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms

Michael Affenzeller, Stefan Wagner, Erik Pitzer, 2017, EUROCAST.

Production fine planning using a solution archive of priority rules

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2011, 3rd IEEE International Symposium on Logistics and Industrial Informatics.

Evolutionary optimization of multi-agent controlstrategies for electric vehicle charging

Michael Affenzeller, Stephan Hutterer, Franz Auinger, 2012, GECCO '12.

A simulation-based approach to the vehicle routing problem

Michael Affenzeller, Stefan Wagner, Marike Scheucher, 2010 .

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

Michael Affenzeller, Stefan Wagner, 2016, GECCO.

A Fair Performance Comparison of Different Surrogate Optimization Strategies

Michael Affenzeller, Bernhard Werth, Erik Pitzer, 2017, EUROCAST.

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2015, EUROCAST.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2006, Proceedings 20th IEEE International Parallel & Distributed Processing Symposium.

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

Michael Affenzeller, Stephan Hutterer, 2013, Int. J. Energy Optim. Eng..

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2016, GECCO.

Feature selection in the analysis of tumor marker data using evolutionary algorithms

Witold Jacak, Stephan M. Winkler, Michael Affenzeller, 2010 .

The influence of population genetics for the redesign of genetic algorithms

Michael Affenzeller, Stefan Wagner, 2004 .

New Generic Hybrids Based upon Genetic Algorithms

Michael Affenzeller, M. Affenzeller, 2002, IBERAMIA.

Genetic programming with data migration for symbolic regression

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2014, GECCO.

TRANSFERRING THE CONCEPT OF SELECTIVE PRESSURE FROM EVOLUTIONARY STRATEGIES TO GENETIC ALGORITHMS

Michael Affenzeller, 2003 .

New methods for the identification of nonlinear model structures based upon genetic programming techniques

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005 .

Heat treatment process parameter estimation using heuristic optimization algorithms

Michael Affenzeller, Michael Kommenda, Bogdan Burlacu, 2015 .

Session details: Evolutionary computation software systems

Michael Affenzeller, Stefan Wagner, 2012, GECCO '12.

Aspects of adaptation in natural and artificial evolution

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007, GECCO '07.

Visualization of genetic lineages and inheritance information in genetic programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2013, GECCO.

Streaming Synthetic Time Series for Simulated Condition Monitoring

Michael Affenzeller, Jan Zenisek, Josef Wolfartsberger, 2018 .

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

Michael Affenzeller, Andreas Beham, Sebastian Raggl, 2019, ArXiv.

System Identification of Blast Furnace Processes with Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2009, 2009 2nd International Symposium on Logistics and Industrial Informatics.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2008, Int. J. Simul. Process. Model..

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2013, GECCO.

Genetic Programming Based Model Structure Identification Using On-Line System Data

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005 .

Evolutionary Systems Identification: New Algorithmic Concepts and Applications

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2008 .

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

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2021, GPTP.

Solving the Traveling Thief Problem Using Orchestration in Optimization Networks

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, EUROCAST.

Data-Based Modeling with Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, EUROCAST.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007, EUROCAST.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2012, GECCO '12.

HeuristicLab: A Generic and Extensible Optimization Environment

Michael Affenzeller, Stefan Wagner, M. Affenzeller, 2005 .

Heuristic Optimization Methods for the Tuning of Input Parameters of Simulation Models

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007 .

Session details: Evolutionary computation software systems (EvoSoft'13)

Michael Affenzeller, Stefan Wagner, 2013, GECCO '13 Companion.

Measurement of Anisotropy in Fitness Landscapes

Michael Affenzeller, Erik Pitzer, M. Affenzeller, 2013, EUROCAST.

On Crossover Success Rate in Genetic Programming with Offspring Selection

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, EuroGP.

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

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

Michael Affenzeller, Günther Zäpfel, Roland Braune, 2012, Eur. J. Oper. Res..

Architecture and Design of the HeuristicLab Optimization Environment

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2014 .

Novel robustness measures for engineering design optimisation

Michael Affenzeller, Michael Kommenda, Thorsten Prante, 2018, Int. J. Simul. Process. Model..

Simulating Evolution: Basics about Genetic Algorithms

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2006, GECCO '06.

Local Optima Networks in Solving Algorithm Selection Problem for TSP

Michael Affenzeller, Wojciech Bozejko, Andreas Beham, 2018, DepCoS-RELCOMEX.

HeuristicModeler: A Multi-Purpose Evolutionary Machine Learning Algorithm and its Applications in Medical Data Analysis

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2006 .

Evolving Simple Symbolic Regression Models by Multi-Objective Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2016 .

Instance-based algorithm selection on quadratic assignment problem landscapes

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, GECCO.

A Genetic Programming Based Tool for Supporting Bioinformatical Classification Problems

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005 .

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

Michael Affenzeller, Stephan Hutterer, Franz Auinger, 2010, LSMS/ICSEE.

Application of Genetic Programming on Temper Mill Datasets

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, 2009 2nd International Symposium on Logistics and Industrial Informatics.

Multi-Population Genetic Programming with Data Migration for Symbolic Regression

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2015, Computational Intelligence and Efficiency in Engineering Systems.

Benefits of Plugin-Based Heuristic Optimization Software Systems

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007, EUROCAST.

Analysis of Schema Frequencies in Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2017, EUROCAST.

Software-Enabled Investigation in Metaheuristic Power Grid Optimization

Michael Affenzeller, Stefan Wagner, Stephan Hutterer, 2014, IEEE Transactions on Industrial Informatics.

Schema Analysis in Tree-Based Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2017, GPTP.

Self-adaptive Population Size Adjustment for Genetic Algorithms

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007, EUROCAST.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, EUROCAST.

Mining Patterns from Genetic Improvement Experiments

Hanspeter Mössenböck, Michael Affenzeller, Oliver Krauss, 2019, 2019 IEEE/ACM International Workshop on Genetic Improvement (GI).

NOx virtual sensor based on structure identification and global optimization

Stephan M. Winkler, Michael Affenzeller, Luigi del Re, 2005 .

Automatic Data Based Patient Classification Using Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007 .

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2013, EUROCAST.

On the benefits of a domain-specific language for modelingmetaheuristic optimization algorithms

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2010 .

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

Stephan M. Winkler, Michael Affenzeller, Wolfgang Amrhein, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

A genetic programming approach to solve scheduling problems with parallel simulation

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2008, IPDPS 2008.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, GEC '09.

Genetic Algorithms and Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2010 .

Facilitating Evolutionary Algorithm Analysis with Persistent Data Structures

Michael Affenzeller, Erik Pitzer, M. Affenzeller, 2017, EUROCAST.

Simplifying Problem Definitions in the HeuristicLab Optimization Environment

Michael Affenzeller, Stefan Wagner, Michael Kommenda, 2015, GECCO.

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

Jaroslaw Jacak, Stephan M. Winkler, Michael Affenzeller, 2015, Computational Intelligence and Efficiency in Engineering Systems.

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009, EUROCAST.

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

Michael Affenzeller, Michael Kommenda, Andreas Beham, 2013, EUROCAST.

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

Michael Affenzeller, Stefan Wagner, 2003, EUROCAST.

A tree-search based heuristic for a complex stacking problem with continuous production and retrieval

Michael Affenzeller, Sebastian Raggl, Fabien Tricoire, 2016 .

A Computational Study of Lower Bounding Schemes for Total Weighted Tardiness Job Shops

Michael Affenzeller, Roland Braune, Gunther Zapfel, 2009, 2009 2nd International Symposium on Logistics and Industrial Informatics.

Diversity-Based Offspring Selection Criteria for Genetic Algorithms

Michael Affenzeller, Stefan Wagner, Andreas Scheibenpflug, 2015, EUROCAST.

Overfitting detection and adaptive covariant parsimony pressure for symbolic regression

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2011, GECCO.

Comprehensive and Automatic Fitness Landscape Analysis Using HeuristicLab

Michael Affenzeller, Stefan Wagner, Erik Pitzer, 2011, EUROCAST.

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

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2014, IEEE Transactions on Industrial Electronics.

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

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2015, EUROCAST.

Optimizing Set-Up Times Using the HeuristicLab Optimization Environment

Michael Affenzeller, Stefan Wagner, Johannes Karder, 2015, EUROCAST.

Coupling simulation with HeuristicLab to solve facility layout problems

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

Policy evolution for large scale electric vehicle charging control

Michael Affenzeller, Stephan Hutterer, Franz Auinger, 2012 .

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

Michael Affenzeller, Stefan Wagner, Gabriel Kronberger, 2009, EUROCAST.

Preservation of Relevant Building Blocks

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

Evolutionary System Identification

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

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

Edwin Lughofer, Stephan M. Winkler, Michael Affenzeller, 2018, Appl. Soft Comput..

Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection

Michael Affenzeller, Stefan Wagner, Andreas Scheibenpflug, 2015, EUROCAST.

Machine learning based concept drift detection for predictive maintenance

Michael Affenzeller, Jan Zenisek, Florian Holzinger, 2019, Comput. Ind. Eng..

Enhanced priority rule synthesis with waiting conditions

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2010 .

MODELLING OF AN AGENT-BASED SCHEDULE OPTIMISATION SYSTEM

Michael Affenzeller, Stefan Wagner, Georg Weichhart, 2004 .

Music Segmentation With Genetic Algorithms

Michael Affenzeller, Stefan Wagner, Brigitte Rafael, 2009, 2009 20th International Workshop on Database and Expert Systems Application.

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2011, EUROCAST.

Affinity Based Slotting in Warehouses with Dynamic Order Patterns

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2014 .

On the Evolutionary Behavior of Genetic Programming with Constants Optimization

Michael Affenzeller, Michael Kommenda, Bogdan Burlacu, 2013, EUROCAST.

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2016, GPTP.

Modeling rich and dynamic vehicle routing problems in Heuristiclab

Michael Affenzeller, Stefan Wagner, Stefan Vonolfen, 2012 .

Identifying Nonlinear Model Structures Using Genetic Programming Techniques

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2007 .

Hagenberg Research

Bruno Buchberger, Alois Ferscha, Michael Affenzeller, 2009 .

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2017, EUROCAST.

Modeling Sensor Networks for Predictive Maintenance

Michael Affenzeller, Jan Zenisek, Josef Wolfartsberger, 2018, OTM Workshops.

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

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2008, GECCO '08.

Optimization of medical ultrasound transducers with simulation and genetic algorithms

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2008 .

Solving the Job Shop Scheduling Problem Using Parallel Genetic Algorithms

Michael Affenzeller, Stefan Wagner, Athanasios C. Spanos, 2008 .

Solving a real world steel stacking problem

Michael Affenzeller, Andreas Beham, Sebastian Raggl, 2018 .

On the analysis, classification and prediction of metaheuristic algorithm behavior for combinatorial optimization problems

Michael Affenzeller, Erik Pitzer, Stefan Wagner, 2012 .

Parameter Meta-optimization of Metaheuristic Optimization Algorithms

Michael Affenzeller, Stefan Wagner, Gabriel Kronberger, 2011, EUROCAST.

Dynamic fitness functions for genetic improvement in compilers and interpreters

Hanspeter Mössenböck, Michael Affenzeller, Oliver Krauss, 2018, GECCO.

HeuristicLab Grid - a flexible and extensible environment for parallel heuristic optimization

Michael Affenzeller, Stefan Wagner, M. Affenzeller, 2004 .

Analysis of the dynamics of allele distribution for some selected GA-variants

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2010, 2010 IEEE 14th International Conference on Intelligent Engineering Systems.

Novel robustness measures for engineering design optimisation

Michael Affenzeller, Michael Kommenda, Thorsten Prante, 2018 .

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, EUROCAST.

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

Michael Affenzeller, Stefan Wagner, M. Affenzeller, 2005, IWINAC.

Measures for the Evaluation and Comparison of Graphical Model Structures

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2017, EUROCAST.

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

Thomas Felberbauer, Michael Affenzeller, Stefan Wagner, 2012, Annual Conference on Genetic and Evolutionary Computation.

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2017, EUROCAST.

Confidence-based ensemble modeling in medical data mining

Michael Affenzeller, Lukas Kammerer, 2018, GECCO.

Optimization Networks for Integrated Machine Learning

Michael Affenzeller, Stefan Wagner, Gabriel Kronberger, 2017, EUROCAST.

Applications of Genetic Algorithms: Combinatorial Optimization

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2009 .

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2013, Central Eur. J. Oper. Res..

Optimization Methods for Large-Scale Production Scheduling Problems

Michael Affenzeller, Stefan Wagner, Roland Braune, 2007, EUROCAST.

Methods for Genealogy and Building Block Analysis in Genetic Programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2015, Computational Intelligence and Efficiency in Engineering Systems.

Using Heuristic Optimization for Segmentation of Symbolic Music

Michael Affenzeller, Stefan Wagner, Brigitte Rafael, 2009, EUROCAST.

Metaheuristic Algorithms for the Quadratic Assignment Problem: Performance and Comparison

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2015 .

Evolution tracking in genetic programming

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2012 .

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, 2011, GECCO '11.

Using ERP-driven flow analysis to optimize a constrained facility layout problem

Michael Affenzeller, Andreas Beham, Monika Kofler, 2010 .

Complexity Measures for Multi-objective Symbolic Regression

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2015, EUROCAST.

Evaluation of Dispatching Strategies for the Optimization of a Real-World Production Plant

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2009, 2009 2nd International Symposium on Logistics and Industrial Informatics.

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

Helmut Hlavacs, Stephan M. Winkler, Michael Affenzeller, 2009, EUROCAST.

Classification of tumor marker values using heuristic data mining methods

Witold Jacak, Stephan M. Winkler, Michael Affenzeller, 2010, GECCO '10.

A genetic programming approach to solve scheduling problems with parallel simulation

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2008, 2008 IEEE International Symposium on Parallel and Distributed Processing.

Using Contextual Information in Sequential Search for Grammatical Optimization Problems

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2015, EUROCAST.

Nonlinear Least Squares Optimization of Constants in Symbolic Regression

Stephan M. Winkler, Michael Affenzeller, Gabriel Kronberger, 2013, EUROCAST.

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

Michael Affenzeller, Franz Pichler, Rudolf Mittelmann, 2001, EUROCAST.

Goal-oriented preservation of essential genetic information by offspring selection

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2005, GECCO '05.

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

Michael Affenzeller, Stefan Wagner, M. Affenzeller, 2003, IWANN.

Uncertainty in real-world steel stacking problems

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2019, GECCO.

Algorithm selection on generalized quadratic assignment problem landscapes

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2018, GECCO.

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

Michael Affenzeller, Gabriel Kronberger, Michael Kommenda, 2011, EUROCAST.

Simulation-Based Optimization with HeuristicLab: Practical Guidelines and Real-World Applications

Stephan M. Winkler, Michael Affenzeller, Stefan Wagner, 2015 .

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, Herbert Stekel, 2014, GECCO.

Knowledge Discovery through Symbolic Regression with HeuristicLab

Michael Affenzeller, Stefan Wagner, Gabriel Kronberger, 2012, ECML/PKDD.

Structural Analysis of Vehicle Routing Problems using General Fitness Landscape Analysis and Problem Specific Measures

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2012 .

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

Michael Affenzeller, Gabriel Kronberger, Bogdan Burlacu, 2021 .

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

Michael Affenzeller, Erik Pitzer, 2021, 2021 IEEE Congress on Evolutionary Computation (CEC).

Simulation-based optimisation for worker cross-training

Michael Affenzeller, Klaus Altendorfer, Andreas Beham, 2021, Int. J. Simul. Process. Model..

Continuous improvement and adaptation of predictive models in smart manufacturing and model management

Michael Affenzeller, Gabriel Kronberger, Florian Bachinger, 2021, IET Collaborative Intelligent Manufacturing.

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

Stephan M. Winkler, Michael Affenzeller, Bernd Hofer, 2021, GECCO Companion.

Computational study of neighborhood operator performance on the Traveling Salesman Problem with Time Windows in neighborhood search based frameworks (RTS, VNS)

Michael Affenzeller, Gunther Zapfel, M. Affenzeller, 2011, 3rd IEEE International Symposium on Logistics and Industrial Informatics.

A closer look down the basins of attraction

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2010, 2010 UK Workshop on Computational Intelligence (UKCI).

Correlation of Problem Hardness and Fitness Landscapes in the Quadratic Assignment Problem

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2014 .

On the Use of Estimated Tumor Marker Classifications in Tumor Diagnosis Prediction - A Case Study for Breast Cancer

Witold Jacak, Stephan M. Winkler, Michael Affenzeller, 2011 .

A GENERIC EVOLUTIONARY COMPUTATION APPROACH BASED UPON GENETIC ALGORITHMS AND EVOLUTION STRATEGIES

Michael Affenzeller, 2003 .

Building Blocks Identification Based on Subtree Sample Counts for Genetic Programming

Michael Affenzeller, Michael Kommenda, Bogdan Burlacu, 2015, 2015 Asia-Pacific Conference on Computer Aided System Engineering.

Reconsidering the Selection Concept of Genetic Algorithms from a Population Genetics Inspired Point of View

Michael Affenzeller, Stefan Wagner, M. Affenzeller, 2004 .

New Variants of Genetic Algorithms Applied to Problems of Combinatorial Optimization

Michael Affenzeller, M. Affenzeller, 2003 .

A new metric to measure distances between solutions to the Quadratic Assignment Problem

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2011, 3rd IEEE International Symposium on Logistics and Industrial Informatics.