Timo Kötzing

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 95

Top Venues

Publications

Jonathan Gadea Harder, Timo Kötzing, Xiaoyue Li, Aishwarya Radhakrishnan, Janosch Ruff
Run Time Bounds for Integer-Valued OneMax Functions. GECCO (2024)
Timo Kötzing
Theory of Stochastic Drift. CoRR (2024)
Xiaoyue Li, Timo Kötzing
Algorithm Performance Comparison for Integer-Valued OneMax. GECCO Companion (2024)
Benjamin Doerr, Timo Kötzing
Lower Bounds from Fitness Levels Made Easy. Algorithmica 86 (2) (2024)
Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan
Analysis of the (1+1) EA on LeadingOnes with Constraints. CoRR (2023)
Tobias Friedrich, Timo Kötzing, Aishwarya Radhakrishnan, Leon Schiller, Martin Schirneck, Georg Tennigkeit, Simon Wietheger
Crossover for Cardinality Constrained Optimization. ACM Trans. Evol. Learn. Optim. 3 (2) (2023)
Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing
ELEA - Build your own Evolutionary Algorithm in your Browser. GECCO Companion (2023)
Markus Wagner, Erik Kohlros, Gerome Quantmeyer, Timo Kötzing
ELEA - Build your own Evolutionary Algorithm in your Browser. CoRR (2023)
Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan
Analysis of (1+1) EA on LeadingOnes with Constraints. GECCO (2023)
Jonathan Gadea Harder, Timo Kötzing, Xiaoyue Li, Aishwarya Radhakrishnan
Run Time Bounds for Integer-Valued OneMax Functions. CoRR (2023)
Xiaoyue Li, Timo Kötzing
Experimental Analyses of Crossover and Diversity on Jump. GECCO Companion (2023)
Samuel Baguley, Tobias Friedrich, Timo Kötzing, Xiaoyue Li, Marcus Pappik, Ziena Zeif
Analysis of a gray-box operator for vertex cover. GECCO (2022)
Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan
Theoretical Study of Optimizing Rugged Landscapes with the cGA. CoRR (2022)
Vanja Doskoc, Timo Kötzing
Maps of Restrictions for Behaviourally Correct Learning. CiE (2022)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Amirhossein Rajabi
Escaping Local Optima with Local Search: A Theory-Driven Discussion. PPSN (2) (2022)
Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan
Theoretical Study of Optimizing Rugged Landscapes with the cGA. PPSN (2) (2022)
Tobias Friedrich, Timo Kötzing, Aishwarya Radhakrishnan, Leon Schiller, Martin Schirneck, Georg Tennigkeit, Simon Wietheger
Crossover for cardinality constrained optimization. GECCO (2022)
Timo Kötzing, Karen Seidel
Learning Languages in the Limit from Positive Information with Finitely Many Memory Changes. CiE (2021)
Ardalan Khazraei, Timo Kötzing, Karen Seidel
Towards a Map for Incremental Learning in the Limit from Positive and Negative Information. CiE (2021)
Benjamin Doerr, Timo Kötzing
Lower bounds from fitness levels made easy. GECCO (2021)
Benjamin Doerr, Timo Kötzing
Lower Bounds from Fitness Levels Made Easy. CoRR (2021)
Vanja Doskoc, Timo Kötzing
Normal Forms for Semantically Witness-Based Learners in Inductive Inference. CiE (2021)
Vanja Doskoc, Timo Kötzing
Mapping Monotonic Restrictions in Inductive Inference. CiE (2021)
Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger
Learning Languages with Decidable Hypotheses. CiE (2021)
Benjamin Doerr, Timo Kötzing
Multiplicative Up-Drift. Algorithmica 83 (10) (2021)
Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Kötzing, Frank Neumann
Correction to: Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints. Algorithmica 82 (10) (2020)
Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger
Maps for Learning Indexable Classes. CoRR (2020)
Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko
Destructiveness of lexicographic parsimony pressure and alleviation by a concatenation crossover in genetic programming. Theor. Comput. Sci. 816 (2020)
Tobias Friedrich, Timo Kötzing, J. A. Gregor Lagodzinski, Frank Neumann, Martin Schirneck
Analysis of the (1 + 1) EA on subclasses of linear functions under uniform and linear constraints. Theor. Comput. Sci. 832 (2020)
Timo Kötzing, Karen Seidel
Learning Languages in the Limit from Positive Information with Finitely Many Memory Changes. CoRR (2020)
Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler
The impact of lexicographic parsimony pressure for ORDER/MAJORITY on the run time. Theor. Comput. Sci. 816 (2020)
Julian Berger, Maximilian Böther, Vanja Doskoc, Jonathan Gadea Harder, Nicolas Klodt, Timo Kötzing, Winfried Lötzsch, Jannik Peters, Leon Schiller, Lars Seifert, Armin Wells, Simon Wietheger
Learning Languages with Decidable Hypotheses. CoRR (2020)
Vanja Doskoc, Timo Kötzing
Mapping Monotonic Restrictions in Inductive Inference. CoRR (2020)
Vanja Doskoc, Timo Kötzing
Normal Forms for (Semantically) Witness-Based Learners in Inductive Inference. CoRR (2020)
Timo Kötzing, Carsten Witt
Improved Fixed-Budget Results via Drift Analysis. PPSN (2) (2020)
Ardalan Khazraei, Timo Kötzing, Karen Seidel
Learning Half-Spaces and other Concept Classes in the Limit with Iterative Learners. CoRR (2020)
Vanja Doskoc, Timo Kötzing
Cautious Limit Learning. ALT (2020)
Timo Kötzing, Carsten Witt
Improved Fixed-Budget Results via Drift Analysis. CoRR (2020)
Ekaterina B. Fokina, Timo Kötzing, Luca San Mauro
Limit Learning Equivalence Structures. ALT (2019)
Benjamin Doerr, Philipp Fischbeck, Clemens Frahnow, Tobias Friedrich, Timo Kötzing, Martin Schirneck
Island Models Meet Rumor Spreading. Algorithmica 81 (2) (2019)
Timo Kötzing, Martin S. Krejca
First-hitting times under drift. Theor. Comput. Sci. 796 (2019)
Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Kötzing, Frank Neumann
Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints. Algorithmica 81 (2) (2019)
Jannik Peters, Daniel Stephan, Isabel Amon, Hans Gawendowicz, Julius Lischeid, Lennart Salabarria, Jonas Umland, Felix Werner, Martin S. Krejca, Ralf Rothenberger, Timo Kötzing, Tobias Friedrich
Mixed Integer Programming versus Evolutionary Computation for Optimizing a Hard Real-World Staff Assignment Problem. ICAPS (2019)
Benjamin Doerr, Carola Doerr, Timo Kötzing
Solving Problems with Unknown Solution Length at Almost No Extra Cost. Algorithmica 81 (2) (2019)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca
Unbiasedness of estimation-of-distribution algorithms. Theor. Comput. Sci. 785 (2019)
Benjamin Doerr, Timo Kötzing
Multiplicative Up-Drift. CoRR (2019)
Benjamin Doerr, Timo Kötzing
Multiplicative up-drift. GECCO (2019)
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton
Escaping Local Optima Using Crossover With Emergent Diversity. IEEE Trans. Evol. Comput. 22 (3) (2018)
Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko
Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. CoRR (2018)
Andreas Göbel, Timo Kötzing, Martin S. Krejca
Intuitive Analyses via Drift Theory. CoRR (2018)
Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler, Anna Melnichenko
Destructiveness of Lexicographic Parsimony Pressure and Alleviation by a Concatenation Crossover in Genetic Programming. PPSN (2) (2018)
Timo Kötzing, Martin S. Krejca
First-Hitting Times for Finite State Spaces. PPSN (2) (2018)
Clemens Frahnow, Timo Kötzing
Ring Migration Topology Helps Bypassing Local Optima. PPSN (2) (2018)
Benjamin Doerr, Carola Doerr, Timo Kötzing
Static and Self-Adjusting Mutation Strengths for Multi-valued Decision Variables. Algorithmica 80 (5) (2018)
Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton
Improving the run time of the (1 + 1) evolutionary algorithm with luby sequences. GECCO (2018)
Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler
Bounding Bloat in Genetic Programming. CoRR (2018)
Timo Kötzing, Dirk Sudholt
Preface to the Special Issue on Theory of Genetic and Evolutionary Computation. Algorithmica 80 (5) (2018)
Martin Aschenbach, Timo Kötzing, Karen Seidel
Learning Families of Formal Languages from Positive and Negative Information. CoRR (2018)
Timo Kötzing, Martin S. Krejca
First-Hitting Times Under Additive Drift. PPSN (2) (2018)
Clemens Frahnow, Timo Kötzing
Ring Migration Topology Helps Bypassing Local Optima. CoRR (2018)
Timo Kötzing, Martin S. Krejca
First-Hitting Times Under Additive Drift. CoRR (2018)
Tobias Friedrich, Timo Kötzing, Gregor Lagodzinski, Frank Neumann, Martin Schirneck
Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints. FOGA (2017)
Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler
Bounding bloat in genetic programming. GECCO (2017)
Tobias Friedrich, Timo Kötzing, Markus Wagner
A Generic Bet-and-Run Strategy for Speeding Up Stochastic Local Search. AAAI (2017)
Benjamin Doerr, Philipp Fischbeck, Clemens Frahnow, Tobias Friedrich, Timo Kötzing, Martin Schirneck
Island models meet rumor spreading. GECCO (2017)
Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton
Resampling vs Recombination: a Statistical Run Time Estimation. FOGA (2017)
Timo Kötzing, Martin Schirneck, Karen Seidel
Normal Forms in Semantic Language Identification. ALT (2017)
Timo Kötzing
A Solution to Wiehagen's Thesis. Theory Comput. Syst. 60 (3) (2017)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
The Compact Genetic Algorithm is Efficient Under Extreme Gaussian Noise. IEEE Trans. Evol. Comput. 21 (3) (2017)
Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Kötzing, Frank Neumann
Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraints. GECCO (2017)
Benjamin Doerr, Carola Doerr, Timo Kötzing
Unknown solution length problems with no asymptotically optimal run time. GECCO (2017)
Wanru Gao, Tobias Friedrich, Timo Kötzing, Frank Neumann
Scaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization. Australasian Conference on Artificial Intelligence (2017)
Tobias Friedrich, Timo Kötzing, Anna Melnichenko
Analyzing search heuristics with differential equations. GECCO (Companion) (2017)
Tobias Friedrich, Timo Kötzing, Francesco Quinzan, Andrew M. Sutton
Ant Colony Optimization Beats Resampling on Noisy Functions. GECCO (Companion) (2016)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Samadhi Nallaperuma, Frank Neumann, Martin Schirneck
Fast Building Block Assembly by Majority Vote Crossover. GECCO (2016)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
Robustness of Ant Colony Optimization to Noise. Evol. Comput. 24 (2) (2016)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
Graceful Scaling on Uniform Versus Steep-Tailed Noise. PPSN (2016)
John Case, Timo Kötzing
Topological separations in inductive inference. Theor. Comput. Sci. 620 (2016)
Sanjay Jain, Timo Kötzing, Frank Stephan
Enlarging learnable classes. Inf. Comput. 251 (2016)
Timo Kötzing, Raphaela Palenta
A map of update constraints in inductive inference. Theor. Comput. Sci. 650 (2016)
Benjamin Doerr, Carola Doerr, Timo Kötzing
The Right Mutation Strength for Multi-Valued Decision Variables. CoRR (2016)
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton
Emergence of Diversity and Its Benefits for Crossover in Genetic Algorithms. PPSN (2016)
Sanjay Jain, Timo Kötzing, Junqi Ma, Frank Stephan
On the role of update constraints and text-types in iterative learning. Inf. Comput. 247 (2016)
Tobias Friedrich, Timo Kötzing, Markus Wagner
A Generic Bet-and-run Strategy for Speeding Up Traveling Salesperson and Minimum Vertex Cover. CoRR (2016)
Timo Kötzing
Concentration of First Hitting Times Under Additive Drift. Algorithmica 75 (3) (2016)
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton
Escaping Local Optima with Diversity Mechanisms and Crossover. GECCO (2016)
John Case, Timo Kötzing
Strongly non-U-shaped language learning results by general techniques. Inf. Comput. 251 (2016)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca
EDAs cannot be Balanced and Stable. GECCO (2016)
Tobias Friedrich, Timo Kötzing, Andrew M. Sutton
On the Robustness of Evolving Populations. PPSN (2016)
Duc-Cuong Dang, Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Per Kristian Lehre, Pietro S. Oliveto, Dirk Sudholt, Andrew M. Sutton
Escaping Local Optima using Crossover with Emergent or Reinforced Diversity. CoRR (2016)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
The Benefit of Recombination in Noisy Evolutionary Search. GECCO (Companion) (2016)
Timo Kötzing, Martin Schirneck
Towards an Atlas of Computational Learning Theory. STACS (2016)
Benjamin Doerr, Carola Doerr, Timo Kötzing
The Right Mutation Strength for Multi-Valued Decision Variables. GECCO (2016)
Christian Gießen, Timo Kötzing
Robustness of Populations in Stochastic Environments. Algorithmica 75 (3) (2016)
Benjamin Doerr, Carola Doerr, Timo Kötzing
Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. PPSN (2016)
Benjamin Doerr, Carola Doerr, Timo Kötzing
Unbiased Black-Box Complexities of Jump Functions. Evol. Comput. 23 (4) (2015)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
Robustness of Ant Colony Optimization to Noise. GECCO (2015)
Dominik D. Freydenberger, Timo Kötzing
Fast Learning of Restricted Regular Expressions and DTDs. Theory Comput. Syst. 57 (4) (2015)
Timo Kötzing, Andrei Lissovoi, Carsten Witt
(1+1) EA on Generalized Dynamic OneMax. FOGA (2015)
Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Andrew M. Sutton
The Benefit of Recombination in Noisy Evolutionary Search. ISAAC (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Timo Kötzing