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University of Applied Sciences Upper Austria Heuristic and Evolutionary Algorithms Laboratory Dr. Michael Affenzeller Softwarepark 11 4232 Hagenberg, AUSTRIA |
Here you can download recent PhD-Theses of some research group members:
Gabriel Kronberger (2010): Symbolic Regression for Knowledge Discovery - Bloat, Overfittting, and Variable Interaction Networks
Stephan Hutterer (2013): Simulation-Based Evolutionary Dynamic and Stochastic Optimization for Smart Electric Power Systems
Erik Pitzer (2013): Applied Fitness Landscape Analysis
Stefan Vonolfen (2014): Adaptive Heuristic Approaches for Dynamic Vehicle Routing - Algorithmic and Practical Aspects
Monika Kofler (2014): Optimizing the Storage Location Assignment Problem under Dynamic Conditions
Bogdan Burlacu (2017): Tracing of Evolutionary Search Trajectories in Complex Hypothesis Spaces
Michael Kommenda (2018): Local Optimization and Complexity Control for Symbolic Regression
Andreas Beham (2019): Fitness Landscape Analysis and Algorithm Selection for Assignment Problems
| Attachment | Size |
|---|---|
 PhD Gabriel Kronberger | 1.94 MB |
| PhD Stephan Hutterer | 1.81 MB |
| PhD Erik Pitzer | 1.89 MB |
| PhD Stefan Vonolfen | 1.56 MB |
| PhD Michael Kommenda | 1.86 MB |
| PhD Andreas Beham | 9.09 MB |
Find out more about HeuristicLab, our framework for heuristic and evolutionary algorithms, on dev.heuristiclab.com
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