A. Beham

发表

Service level improvement due to worker cross training with stochastic worker absence

K. Altendorfer, Andreas Schober, J. Karder, 2020, Int. J. Prod. Res..

Analysis of Allele Distribution Dynamics in Different Genetic Algorithms

Stephan M. Winkler, M. Affenzeller, A. Beham, 2012, Recent Advances in Intelligent Engineering Systems.

Modelling a clustered generalized quadratic assignment problem

M. Affenzeller, A. Beham, Stefan Wagner, 2015 .

Evolving Programs: Genetic Programming

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

Preservation of Relevant Building Blocks

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

Evolutionary System Identification

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

Combinatorial Optimization: Route Planning

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

Data-Based Modeling with Genetic Programming

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

Metaheuristic Optimization

Stephan M. Winkler, Gabriel Kronberger, Andreas Beham, 2009, Hagenberg Research.

Simulating Evolution: Basics about Genetic Algorithms

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

Applications of Genetic Algorithms: Combinatorial Optimization

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

On-line parameter optimization strategies for metaheuristics

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

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

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

Simulation-based Optimization of Material Requirements Planning Parameters

K. Altendorfer, J. Karder, A. Beham, 2023, Procedia Computer Science.

A closer look down the basins of attraction

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

REGRESSION METHODS FOR SURROGATE MODELING OF A REAL PRODUCTION SYSTEM APPROXIMATING THE INFLUENCE ON INVENTORY AND TARDINESS

Andreas J. Peirleitner, Klaus Altendorfer, Andreas Beham, 2018, 2018 Winter Simulation Conference (WSC).

L G ] 1 S ep 2 02 1 Complexity Measures for Multi-Objective Symbolic Regression

M. Affenzeller, G. Kronberger, M. Kommenda, 2021 .

Algorithm selection on generalized quadratic assignment problem landscapes

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

AbYSS: Adapting Scatter Search to Multiobjective Optimization

Enrique Alba, Francisco Luna, Bernabé Dorronsoro, 2008, IEEE Transactions on Evolutionary Computation.

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

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

Software-Enabled Investigation in Metaheuristic Power Grid Optimization

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

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

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

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.

Fitness Landscape Analysis on Binary Dynamic Optimization Problems

M. Affenzeller, J. Karder, A. Beham, 2021, ISM.

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

Stephan M. Winkler, Stefan Wagner, Gabriel Kronberger, 2009, EUROCAST.

Optimization networks for real-world production and logistics problems

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

A General Solution Approach for the Location Routing Problem

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

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.

Architecture and Design of the HeuristicLab Optimization Environment

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

Integrated Performance Measurement for Optimization Networks in Smart Enterprises

Stefan Wagner, Andreas Beham, Viktoria A. Hauder, 2016, OTM Workshops.

Dynamic landscape analysis for open-ended stacking

Stefan Wagner, Bernhard Werth, Andreas Beham, 2021, GECCO Companion.

A comparative study of genetic algorithm components in simulation-based optimisation

Cathal Heavey, Andreas Beham, Birkan Can, 2008, 2008 Winter Simulation Conference.

Simplifying Problem Definitions in the HeuristicLab Optimization Environment

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

Knowledge Discovery through Symbolic Regression with HeuristicLab

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

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications

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

New insights on the block relocation problem

Andreas Beham, Fabien Tricoire, Judith Scagnetti, 2018, Comput. Oper. Res..

A simulation-based approach to the vehicle routing problem

Michael Affenzeller, Stefan Wagner, Marike Scheucher, 2010 .

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

Andreas Beham, Stefan Vonolfen, Monika Kofler, 2012, Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC).

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

Michael Affenzeller, Erik Pitzer, Andreas Beham, 2014 .

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..

Influence of Workforce Qualification on Service Level in a Flow Shop with two Lines

Klaus Altendorfer, Andreas Beham, Johannes Karder, 2019, IFAC-PapersOnLine.

Complexity Measures for Multi-objective Symbolic Regression

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

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

Sophie N. Parragh, M. Affenzeller, A. Beham, 2020, Comput. Ind. Eng..

A dynamic multicommodity network flow problem for logistics networks

Andreas Beham, Sebastian Raggl, Judith Fechter, 2015 .

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

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

Walking through the Quadratic Assignment-Instance Space: Algorithm Performance and Landscape Measures

Erik Pitzer, J. Karder, A. Beham, 2023, GECCO Companion.

Instance-based algorithm selection on quadratic assignment problem landscapes

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

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms

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

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization

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

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

Michael Affenzeller, Stefan Wagner, Andreas Beham, 2010 .

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

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

Towards the design and implementation of optimization networks in HeuristicLab

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

Optimization Networks for Integrated Machine Learning

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

Parallel Tabu Search and the Multiobjective Vehicle Routing Problem with Time Windows

Andreas Beham, A. Beham, 2007, 2007 IEEE International Parallel and Distributed Processing Symposium.

Parallel Tabu Search and the Multiobjective Capacitated Vehicle Routing Problem with Soft Time Windows

Andreas Beham, A. Beham, 2007, EUROCAST.

Solving the Traveling Thief Problem Using Orchestration in Optimization Networks

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

Symbolic regression using tabu search in a neighborhood of semantically similar solutions

Gabriel Kronberger, Andreas Beham, G. Kronberger, 2012 .

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.

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

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

Robust Storage Assignment in Warehouses with Correlated Demand

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

Simulation-based set-up time optimization using Sim# and Heuristiclab

Andreas Beham, Stefan Wagner, Johannes Karder, 2015 .

Integrated simulation and optimization in HeuristicLab

Stefan Wagner, Gabriel Kronberger, Michael Kommenda, 2014 .

Scripting and framework integration in heuristic optimization environments

Stefan Wagner, Gabriel Kronberger, Michael Kommenda, 2014, GECCO.