| 2026 | GECCO | Analysis of Search Heuristics in the Multi-Armed Bandit Setting. | Jasmin Brandt, Barbara Hammer, Timo Ktzing, Jurek Sander |
| 2026 | GECCO | Gray-Box Optimization and the Vertex Coloring Problem. | Johanna Gasse, Antonia Heinen, Hendrik Higl, Timo Ktzing |
| 2026 | GECCO | Anytime Analysis on BinVal: Adaptive Parameters Help. | Timo Ktzing, Jurek Sander |
| 2026 | PPSN | Theoretical Analysis of the (1+1)-EA-ES with Reduced Success Rule for Mixed Discrete-Continuous Optimization. | Anne Auger, Dimo Brockhoff, Timo Ktzing, Jurek Sander |
| 2026 | PPSN | Combinatorial Landscape Analysis for Dominating Set and Vertex Coloring. | Johanna Gasse, Antonia Heinen, Felix Leonard Knfel, Timo Ktzing, Maxim Stanko |
| 2026 | PPSN | First Hitting Times for Multiple Processes and Targets. | Timo Ktzing, Jonathan E. Rowe |
| 2025 | CEC | Algorithm Performance Comparison of the (1+1) EA with Heavy-Tailed Mutators. | Xiaoyue Li, Samuel Baguley, Timo Ktzing |
| 2025 | CEC | Discrete Evolutionary Algorithms for Optimizing Sphere. | Timo Ktzing, Aishwarya Radhakrishnan |
| 2025 | EvoCOP | Mixed-Binary Problems Optimized with Fast Discrete Solver. | Timo Ktzing, Aishwarya Radhakrishnan |
| 2024 | GECCO | Run Time Bounds for Integer-Valued OneMax Functions. | Jonathan Gadea Harder, Timo Ktzing, Xiaoyue Li, Aishwarya Radhakrishnan, Janosch Ruff |
| 2024 | GECCO | Algorithm Performance Comparison for Integer-Valued OneMax. | Xiaoyue Li, Timo Ktzing |
| 2024 | PPSN | Greedy Versus Curious Parent Selection for Multi-objective Evolutionary Algorithms. | Denis Antipov, Timo Ktzing, Aishwarya Radhakrishnan |
| 2023 | GECCO | Analysis of (1+1) EA on LeadingOnes with Constraints. | Tobias Friedrich, Timo Ktzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan |
| 2023 | GECCO | ELEA - Build your own Evolutionary Algorithm in your Browser. | Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Ktzing |
| 2023 | GECCO | Experimental Analyses of Crossover and Diversity on Jump. | Xiaoyue Li, Timo Ktzing |
| 2022 | CiE | Maps of Restrictions for Behaviourally Correct Learning. | Vanja Doskoc, Timo Ktzing |
| 2022 | GECCO | Crossover for cardinality constrained optimization. | Tobias Friedrich, Timo Ktzing, Aishwarya Radhakrishnan, Leon Schiller, Martin Schirneck, Georg Tennigkeit, Simon Wietheger |
| 2022 | GECCO | Analysis of a gray-box operator for vertex cover. | Samuel Baguley, Tobias Friedrich, Timo Ktzing, Xiaoyue Li, Marcus Pappik, Ziena Zeif |
| 2022 | PPSN | Escaping Local Optima with Local Search: A Theory-Driven Discussion. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Amirhossein Rajabi |
| 2022 | PPSN | Theoretical Study of Optimizing Rugged Landscapes with the cGA. | Tobias Friedrich, Timo Ktzing, Frank Neumann, Aishwarya Radhakrishnan |
| 2021 | CiE | Learning Languages with Decidable Hypotheses. | Julian Berger, Maximilian Bther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Ktzing, Winfried Ltzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger |
| 2021 | CiE | Mapping Monotonic Restrictions in Inductive Inference. | Vanja Doskoc, Timo Ktzing |
| 2021 | CiE | Normal Forms for Semantically Witness-Based Learners in Inductive Inference. | Vanja Doskoc, Timo Ktzing |
| 2021 | CiE | Towards a Map for Incremental Learning in the Limit from Positive and Negative Information. | Ardalan Khazraei, Timo Ktzing, Karen Seidel |
| 2021 | CiE | Learning Languages in the Limit from Positive Information with Finitely Many Memory Changes. | Timo Ktzing, Karen Seidel |
| 2021 | GECCO | Lower bounds from fitness levels made easy. | Benjamin Doerr, Timo Ktzing |
| 2020 | ALT | Cautious Limit Learning. | Vanja Doskoc, Timo Ktzing |
| 2020 | PPSN | Improved Fixed-Budget Results via Drift Analysis. | Timo Ktzing, Carsten Witt |
| 2019 | ALT | Limit Learning Equivalence Structures. | Ekaterina B. Fokina, Timo Ktzing, Luca San Mauro |
| 2019 | GECCO | Multiplicative up-drift. | Benjamin Doerr, Timo Ktzing |
| 2018 | GECCO | Improving the run time of the (1 + 1) evolutionary algorithm with luby sequences. | Tobias Friedrich, Timo Ktzing, Francesco Quinzan, Andrew M. Sutton |
| 2018 | PPSN | Ring Migration Topology Helps Bypassing Local Optima. | Clemens Frahnow, Timo Ktzing |
| 2018 | PPSN | First-Hitting Times for Finite State Spaces. | Timo Ktzing, Martin S. Krejca |
| 2018 | PPSN | First-Hitting Times Under Additive Drift. | Timo Ktzing, Martin S. Krejca |
| 2018 | PPSN | Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. | Timo Ktzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko |
| 2017 | AAAI | A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. | Tobias Friedrich, Timo Ktzing, Markus Wagner |
| 2017 | ALT | Normal Forms in Semantic Language Identification. | Timo Ktzing, Martin Schirneck, Karen Seidel |
| 2017 | FOGA | Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints. | Tobias Friedrich, Timo Ktzing, Gregor Lagodzinski, Frank Neumann, Martin Schirneck |
| 2017 | FOGA | Resampling vs Recombination: a Statistical Run Time Estimation. | Tobias Friedrich, Timo Ktzing, Francesco Quinzan, Andrew M. Sutton |
| 2017 | GECCO | Analyzing search heuristics with differential equations. | Tobias Friedrich, Timo Ktzing, Anna Melnichenko |
| 2017 | GECCO | Unknown solution length problems with no asymptotically optimal run time. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2017 | GECCO | Island models meet rumor spreading. | Benjamin Doerr, Philipp Fischbeck, Clemens Frahnow, Tobias Friedrich, Timo Ktzing, Martin Schirneck |
| 2017 | GECCO | Bounding bloat in genetic programming. | Benjamin Doerr, Timo Ktzing, J. A. Gregor Lagodzinski, Johannes Lengler |
| 2017 | GECCO | Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraints. | Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Ktzing, Frank Neumann |
| 2016 | GECCO | Escaping Local Optima with Diversity Mechanisms and Crossover. | Duc-Cuong Dang, Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton |
| 2016 | GECCO | The Right Mutation Strength for Multi-Valued Decision Variables. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2016 | GECCO | EDAs cannot be Balanced and Stable. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca |
| 2016 | GECCO | Fast Building Block Assembly by Majority Vote Crossover. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Samadhi Nallaperuma, Frank Neumann, Martin Schirneck |
| 2016 | GECCO | The Benefit of Recombination in Noisy Evolutionary Search. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Andrew M. Sutton |
| 2016 | GECCO | Ant Colony Optimization Beats Resampling on Noisy Functions. | Tobias Friedrich, Timo Ktzing, Francesco Quinzan, Andrew M. Sutton |
| 2016 | PPSN | Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. | Duc-Cuong Dang, Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton |
| 2016 | PPSN | Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2016 | PPSN | Graceful Scaling on Uniform Versus Steep-Tailed Noise. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Andrew M. Sutton |
| 2016 | PPSN | On the Robustness of Evolving Populations. | Tobias Friedrich, Timo Ktzing, Andrew M. Sutton |
| 2016 | STACS | Towards an Atlas of Computational Learning Theory. | Timo Ktzing, Martin Schirneck |
| 2015 | FOGA | (1+1) EA on Generalized Dynamic OneMax. | Timo Ktzing, Andrei Lissovoi, Carsten Witt |
| 2015 | GECCO | Solving Problems with Unknown Solution Length at (Almost) No Extra Cost. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2015 | GECCO | Robustness of Ant Colony Optimization to Noise. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Andrew M. Sutton |
| 2015 | ISAAC | The Benefit of Recombination in Noisy Evolutionary Search. | Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Andrew M. Sutton |
| 2014 | ALT | On the Role of Update Constraints and Text-Types in Iterative Learning. | Sanjay Jain, Timo Ktzing, Junqi Ma, Frank Stephan |
| 2014 | ALT | A Map of Update Constraints in Inductive Inference. | Timo Ktzing, Raphaela Palenta |
| 2014 | GECCO | Unbiased black-box complexities of jump functions: how to cross large plateaus. | Benjamin Doerr, Carola Doerr, Timo Ktzing |
| 2014 | GECCO | Robustness of populations in stochastic environments. | Christian Gieen, Timo Ktzing |
| 2014 | GECCO | Concentration of first hitting times under additive drift. | Timo Ktzing |
| 2014 | STACS | A Solution to Wiehagen's Thesis. | Timo Ktzing |
| 2013 | ALT | Topological Separations in Inductive Inference. | John Case, Timo Ktzing |
| 2013 | FOGA | Optimizing expected path lengths with ant colony optimization using fitness proportional update. | Matthias Feldmann, Timo Ktzing |
| 2013 | GECCO | An effective heuristic for the smallest grammar problem. | Florian Benz, Timo Ktzing |
| 2013 | ICDT | Fast learning of restricted regular expressions and DTDs. | Dominik D. Freydenberger, Timo Ktzing |
| 2013 | UIST | MenuOptimizer: interactive optimization of menu systems. | Gilles Bailly, Antti Oulasvirta, Timo Ktzing, Sabrina Hoppe |
| 2012 | ALT | Enlarging Learnable Classes. | Sanjay Jain, Timo Ktzing, Frank Stephan |
| 2012 | GECCO | Efficient algorithms for extracting biological key pathways with global constraints. | Jan Baumbach, Tobias Friedrich, Timo Ktzing, Anton Krohmer, Joachim Mller, Josch Pauling |
| 2012 | GECCO | Ants easily solve stochastic shortest path problems. | Benjamin Doerr, Ashish Ranjan Hota, Timo Ktzing |
| 2012 | GECCO | The max problem revisited: the importance of mutation in genetic programming. | Timo Ktzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly |
| 2012 | PPSN | ACO Beats EA on a Dynamic Pseudo-Boolean Function. | Timo Ktzing, Hendrik Molter |
| 2011 | ALT | Iterative Learning from Positive Data and Counters. | Timo Ktzing |
| 2011 | FOGA | Faster black-box algorithms through higher arity operators. | Benjamin Doerr, Daniel Johannsen, Timo Ktzing, Per Kristian Lehre, Markus Wagner, Carola Winzen |
| 2011 | FOGA | Simple max-min ant systems and the optimization of linear pseudo-boolean functions. | Timo Ktzing, Frank Neumann, Dirk Sudholt, Markus Wagner |
| 2011 | GECCO | Too fast unbiased black-box algorithms. | Benjamin Doerr, Timo Ktzing, Carola Winzen |
| 2011 | GECCO | Black-box complexities of combinatorial problems. | Benjamin Doerr, Johannes Lengler, Timo Ktzing, Carola Winzen |
| 2011 | GECCO | PAC learning and genetic programming. | Timo Ktzing, Frank Neumann, Reto Sphel |
| 2011 | GECCO | How crossover helps in pseudo-boolean optimization. | Timo Ktzing, Dirk Sudholt, Madeleine Theile |
| 2011 | STACS | Measuring Learning Complexity with Criteria Epitomizers. | John Case, Timo Ktzing |
| 2010 | ALT | Solutions to Open Questions for Non-U-Shaped Learning with Memory Limitations. | John Case, Timo Ktzing |
| 2010 | COLT | Strongly Non-U-Shaped Learning Results by General Techniques. | John Case, Timo Ktzing |
| 2010 | GECCO | Ant colony optimization and the minimum cut problem. | Timo Ktzing, Per Kristian Lehre, Frank Neumann, Pietro S. Oliveto |
| 2010 | LATA | String Extension Learning Using Lattices. | Anna Kasprzik, Timo Ktzing |
| 2010 | PPSN | More Effective Crossover Operators for the All-Pairs Shortest Path Problem. | Benjamin Doerr, Daniel Johannsen, Timo Ktzing, Frank Neumann, Madeleine Theile |
| 2009 | ALT | Difficulties in Forcing Fairness of Polynomial Time Inductive Inference. | John Case, Timo Ktzing |
| 2008 | ALT | Dynamically Delayed Postdictive Completeness and Consistency in Learning. | John Case, Timo Ktzing |
| 2008 | ALT | Dynamic Modeling in Inductive Inference. | John Case, Timo Ktzing |
| 2007 | ALT | Feasible Iteration of Feasible Learning Functionals. | John Case, Timo Ktzing, Todd Paddock |