Theses | HEAL

PhD theses of HEAL members:

Michael Affenzeller (2001): New Hybrid Variants of Genetic Algorithms - Theoretical and Practical Aspects
Stephan Winkler (2008): Evolutionary System Identification - Modern Concepts and Practical Applications
Stefan Wagner (2009): Heuristic Optimization Software Systems - Modeling of Heuristic Optimization Algorithms in the HeuristicLab Software Environment
Gabriel Kronberger (2010): Symbolic Regression for Knowledge Discovery - Bloat, Overfittting, and Variable Interaction Networks (pdf)
Stephan Hutterer (2013): Simulation-Based Evolutionary Dynamic and Stochastic Optimization for Smart Electric Power Systems (pdf)
Erik Pitzer (2013): Applied Fitness Landscape Analysis (pdf)
Stefan Vonolfen (2014): Adaptive Heuristic Approaches for Dynamic Vehicle Routing - Algorithmic and Practical Aspects (pdf)
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 (pdf)
Andreas Beham (2019): Fitness Landscape Analysis and Algorithm Selection for Assignment Problems (pdf)
Viktoria A. Hauder (2020): Integrated Logistics Optimization