Stefan Wagner

According to our database1, Stefan Wagner authored at least 96 papers between 2003 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Solution approaches for the dynamic stacking problem.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Approximate Q-Learning for Stacking Problems with Continuous Production and Retrieval.
Appl. Artif. Intell., 2019

Uncertainty in real-world steel stacking problems.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

A Model-Based Learning Approach for Controlling the Energy Flows of a Residential Household Using Genetic Programming to Perform Symbolic Regression.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2018
Discrete real-world problems in a black-box optimization benchmark.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Asynchronous surrogate-assisted optimization networks.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Algorithm selection on generalized quadratic assignment problem landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Extending Sim# for simulation-based optimisation of semi-automated machinery.
Int. J. Simul. Process. Model., 2017

Towards the design and implementation of optimization networks in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Optimization networks for real-world production and logistics problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Instance-based algorithm selection on quadratic assignment problem landscapes.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Dynamic observation of genotypic and phenotypic diversity for different symbolic regression GP variants.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Analysing a Hybrid Model-Based Evolutionary Algorithm for a Hard Grouping Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Optimization Networks for Integrated Machine Learning.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Solving the Traveling Thief Problem Using Orchestration in Optimization Networks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

A General Solution Approach for the Location Routing Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

Integrating Exploratory Landscape Analysis into Metaheuristic Algorithms.
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.
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.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
Integrated Performance Measurement for Optimization Networks in Smart Enterprises.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Workshops, 2016

Evolutionary Procedural 2D Map Generation using Novelty Search.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Optimization Knowledge Center: A Decision Support System for Heuristic Optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evolutionary Computation Software Systems (EvoSoft) Workshop 2016 Chairs' Welcome & Organization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

2015
Robust Storage Assignment in Warehouses with Correlated Demand.
Proceedings of the Computational Intelligence and Efficiency in Engineering Systems, 2015

Simplifying Problem Definitions in the HeuristicLab Optimization Environment.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Diversity-Based Offspring Selection Criteria for Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimizing Set-Up Times Using the HeuristicLab Optimization Environment.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Modeling a Lot-Aware Slab Stack Shuffling Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Optimization Strategies for Integrated Knapsack and Traveling Salesman Problems.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Increasing the Sensitivity of Cancer Predictors Using Confidence Based Ensemble Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

Automatic Adaption of Operator Probabilities in Genetic Algorithms with Offspring Selection.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2014
Software-Enabled Investigation in Metaheuristic Power Grid Optimization.
IEEE Trans. Ind. Informatics, 2014

Sliding Window Symbolic Regression for Detecting Changes of System Dynamics.
Proceedings of the Genetic Programming Theory and Practice XII, 2014

Scripting and framework integration in heuristic optimization environments.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
On the use of estimated tumour marker classifications in tumour diagnosis prediction - a case study for breast cancer.
Int. J. Simul. Process. Model., 2013

Simulation-based evolution of resupply and routing policies in rich vendor-managed inventory scenarios.
Central Eur. J. Oper. Res., 2013

Gaining Deeper Insights in Symbolic Regression.
Proceedings of the Genetic Programming Theory and Practice XI [GPTP 2013, 2013

GPDL: a framework-independent problem definition language for grammar-guided genetic programming.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Effects of constant optimization by nonlinear least squares minimization in symbolic regression.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Application of an Island Model Genetic Algorithm for a Multi-track Music Segmentation Problem.
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2013

An Analysis of the Intensification and Diversification Behavior of Different Operators for Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Optimization as a Service: On the Use of Cloud Computing for Metaheuristic Optimization.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Yard Storage Assignment Optimisation with Neutral Walks.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Improving the Accuracy of Cancer Prediction by Ensemble Confidence Evaluation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

2012
Analysis of Allele Distribution Dynamics in Different Genetic Algorithms.
Proceedings of the Recent Advances in Intelligent Engineering Systems, 2012

Knowledge Discovery through Symbolic Regression with HeuristicLab.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Algorithm and experiment design with heuristic lab: an open source optimization environment for research and education.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Optimization knowledge base: an open database for algorithm and problem characteristics and optimization results.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

On the architecture and implementation of tree-based genetic programming in HeuristicLab.
Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Integration of flexible interfaces in optimization software frameworks for simulation-based optimization.
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.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Algorithm and experiment design with heuristiclab: an open source optimization environment for research and education.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Analysis of Selected Evolutionary Algorithms in Feature Selection and Parameter Optimization for Data Based Tumor Marker Modeling.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Combination and Comparison of Different Genetic Encodings for the Vehicle Routing Problem.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Optimization of Parameter Settings for Genetic Algorithms in Music Segmentation.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Comprehensive and Automatic Fitness Landscape Analysis Using HeuristicLab.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Parameter Meta-optimization of Metaheuristic Optimization Algorithms.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

Application of Symbolic Regression on Blast Furnace and Temper Mill Datasets.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

2010
Effective allele preservation by offspring selection: an empirical study for the TSP.
Int. J. Simul. Process. Model., 2010

2009
Using enhanced genetic programming techniques for evolving classifiers in the context of medical diagnosis.
Genet. Program. Evolvable Mach., 2009

Coupling Simulation with HeuristicLab to Solve Facility Layout Problems.
Proceedings of the 2009 Winter Simulation Conference, 2009

Fine grained population diversity analysis for parallel genetic programming.
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.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

On Crossover Success Rate in Genetic Programming with Offspring Selection.
Proceedings of the Genetic Programming, 12th European Conference, 2009

Virtual Sensors for Emissions of a Diesel Engine Produced by Evolutionary System Identification.
Proceedings of the Computer Aided Systems Theory, 2009

Model Driven Rapid Prototyping of Heuristic Optimization Algorithms.
Proceedings of the Computer Aided Systems Theory, 2009

Using Heuristic Optimization for Segmentation of Symbolic Music.
Proceedings of the Computer Aided Systems Theory, 2009

On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection.
Proceedings of the Computer Aided Systems Theory, 2009

Priority Rule Generation with a Genetic Algorithm to Minimize Sequence Dependent Setup Costs.
Proceedings of the Computer Aided Systems Theory, 2009

Heuristic Methods for Searching and Clustering Hierarchical Workflows.
Proceedings of the Computer Aided Systems Theory, 2009

Evolutionary Selection in Simulation-Based Optimization.
Proceedings of the Computer Aided Systems Theory, 2009

On the Influence of Selection Schemes on the Genetic Diversity in Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2009

Music Segmentation With Genetic Algorithms.
Proceedings of the Database and Expert Systems Applications, 2009


Metaheuristic Optimization.
Proceedings of the Hagenberg Research, 2009

Genetic Algorithms and Genetic Programming - Modern Concepts and Practical Applications.
CRC Press, ISBN: 978-1-58488-629-7, 2009

2008
A genetic programming approach to solve scheduling problems with parallel simulation.
Proceedings of the 22nd IEEE International Symposium on Parallel and Distributed Processing, 2008

Fine-grained population diversity estimation for genetic programming based structure identification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2008

2007
Advanced Genetic Programming Based Machine Learning.
J. Math. Model. Algorithms, 2007

Online modelling based on Genetic Programming.
Int. J. Intell. Syst. Technol. Appl., 2007

Aspects of adaptation in natural and artificial evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Selection Pressure Driven Sliding Window Behavior in Genetic Programming Based Structure Identification.
Proceedings of the Computer Aided Systems Theory, 2007

Benefits of Plugin-Based Heuristic Optimization Software Systems.
Proceedings of the Computer Aided Systems Theory, 2007

Optimization Methods for Large-Scale Production Scheduling Problems.
Proceedings of the Computer Aided Systems Theory, 2007

Self-adaptive Population Size Adjustment for Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2007

2006
Advances in applying genetic programming to machine learning, focussing on classification problems.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006

2005
The Allele Meta-model - Developing a Common Language for Genetic Algorithms.
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.
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.
Proceedings of the Genetic and Evolutionary Computation Conference, 2005

On-Line Modelling Based on Genetic Programming.
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.
J. Heuristics, 2004

2003
SASEGASA: An Evolutionary Algorithm for Retarding Premature Convergence by Self-adaptive Selection Pressure Steering.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Agent-based Problem Solving: The Ant Colonies Metaphor.
Proceedings of the iiWAS'2003, 2003

A Self-adaptive Model for Selective Pressure Handling within the Theory of Genetic Algorithms.
Proceedings of the Computer Aided Systems Theory, 2003


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