| 2026 | GECCO | Hot of the Press: Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem. | Duc-Cuong Dang, Aneta Neumann, Frank Neumann, Andre Opris, Dirk Sudholt |
| 2026 | GECCO | Theory and Practice of Population Diversity in Evolutionary Computation. | Dirk Sudholt, Giovanni Squillero |
| 2026 | PPSN | SPEA2 | Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2025 | GECCO | Analysing the Effectiveness of Mutation Operators for One-Sided Bipartite Crossing Minimisation. | Jakob Baumann, Ignaz Rutter, Dirk Sudholt |
| 2025 | GECCO | Why Dominance Is Not Enough: Lessons from Practical Evolutionary Multi-Objective Algorithms. | Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2025 | GECCO | A Royal Road Function for Permutation Spaces: an Example Where Order Crossover is Provably Essential. | Andre Opris, Sebastian Sonntag, Dirk Sudholt |
| 2025 | GECCO | Empirical Linkage Learning Provably Builds Truthful Models on Concatenated Traps and H-IFF. | Marcus Schmidbauer, Dirk Sudholt |
| 2025 | GECCO | Theory and Practice of Population Diversity in Evolutionary Computation. | Dirk Sudholt, Giovanni Squillero |
| 2025 | IJCAI | Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem. | Duc-Cuong Dang, Aneta Neumann, Frank Neumann, Andre Opris, Dirk Sudholt |
| 2024 | GD | Evolutionary Algorithms for One-Sided Bipartite Crossing Minimisation (Poster Abstract). | Jakob Baumann, Ignaz Rutter, Dirk Sudholt |
| 2024 | GECCO | Evolutionary Computation Meets Graph Drawing: Runtime Analysis for Crossing Minimisation on Layered Graph Drawings. | Jakob Baumann, Ignaz Rutter, Dirk Sudholt |
| 2024 | GECCO | Illustrating the Efficiency of Popular Evolutionary Multi-Objective Algorithms Using Runtime Analysis. | Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2024 | GECCO | Runtime Analyses of NSGA-III on Many-Objective Problems. | Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt |
| 2024 | GECCO | Hot of the Press: Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. | Andre Opris, Duc-Cuong Dang, Dirk Sudholt |
| 2024 | GECCO | A Tight | Andre Opris, Johannes Lengler, Dirk Sudholt |
| 2024 | GECCO | Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions. | Marcus Schmidbauer, Andre Opris, Jakob Bossek, Frank Neumann, Dirk Sudholt |
| 2024 | GECCO | Theory and Practice of Population Diversity in Evolutionary Computation. | Dirk Sudholt, Giovanni Squillero |
| 2024 | PPSN | On the Equivalence Between Stochastic Tournament and Power-Law Ranking Selection and How to Implement Them Efficiently. | Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2024 | PPSN | Level-Based Theorems for Runtime Analysis of Multi-objective Evolutionary Algorithms. | Duc-Cuong Dang, Andre Opris, Dirk Sudholt |
| 2023 | AAAI | A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation. | Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt |
| 2023 | GECCO | Runtime Analysis of Quality Diversity Algorithms. | Jakob Bossek, Dirk Sudholt |
| 2023 | GECCO | Analysing the Robustness of NSGA-II under Noise. | Duc-Cuong Dang, Andre Opris, Bahare Salehi, Dirk Sudholt |
| 2023 | GECCO | Comma Selection Outperforms Plus Selection on OneMax with Randomly Planted Optima. | Joost Jorritsma, Johannes Lengler, Dirk Sudholt |
| 2023 | GECCO | Analysing Equilibrium States for Population Diversity. | Johannes Lengler, Andre Opris, Dirk Sudholt |
| 2023 | GECCO | Theory and Practice of Population Diversity in Evolutionary Computation. | Dirk Sudholt, Giovanni Squillero |
| 2022 | GECCO | The compact genetic algorithm struggles on Cliff functions. | Frank Neumann, Dirk Sudholt, Carsten Witt |
| 2022 | GECCO | Hard problems are easier for success-based parameter control. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2022 | GECCO | Theory and practice of population diversity in evolutionary computation. | Dirk Sudholt, Giovanni Squillero |
| 2022 | PPSN | Evolutionary Algorithms for Cardinality-Constrained Ising Models. | Vijay Dhanjibhai Bhuva, Duc-Cuong Dang, Liam Huber, Dirk Sudholt |
| 2021 | FOGA | Do additional optima speed up evolutionary algorithms? | Jakob Bossek, Dirk Sudholt |
| 2021 | FOGA | Self-adjusting offspring population sizes outperform fixed parameters on the cliff function. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2021 | GECCO | Self-adjusting population sizes for non-elitist evolutionary algorithms: why success rates matter. | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2020 | GECCO | Do sophisticated evolutionary algorithms perform better than simple ones? | Michael Foster, Matthew Hughes, George O. O'Brien, Pietro S. Oliveto, James Pyle, Dirk Sudholt, James Williams |
| 2020 | GECCO | Causes and effects of fitness landscapes in unit test generation. | Nasser M. Albunian, Gordon Fraser, Dirk Sudholt |
| 2020 | GECCO | More effective randomized search heuristics for graph coloring through dynamic optimization. | Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt |
| 2020 | GECCO | On the choice of the parameter control mechanism in the (1+( | Mario Alejandro Hevia Fajardo, Dirk Sudholt |
| 2020 | GECCO | Analysis of the performance of algorithm configurators for search heuristics with global mutation operators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2020 | GECCO | A tight lower bound on the expected runtime of standard steady state genetic algorithms. | Pietro S. Oliveto, Dirk Sudholt, Carsten Witt |
| 2020 | GECCO | Theory and practice of population diversity in evolutionary computation. | Dirk Sudholt, Giovanni Squillero |
| 2020 | PPSN | Fast Perturbative Algorithm Configurators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2020 | SSBSE | Measuring and Maintaining Population Diversity in Search-Based Unit Test Generation. | Nasser M. Albunian, Gordon Fraser, Dirk Sudholt |
| 2019 | FOGA | Time complexity analysis of RLS and (1 + 1) EA for the edge coloring problem. | Jakob Bossek, Dirk Sudholt |
| 2019 | GECCO | Runtime analysis of randomized search heuristics for dynamic graph coloring. | Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt |
| 2019 | GECCO | On the impact of the cutoff time on the performance of algorithm configurators. | George T. Hall, Pietro S. Oliveto, Dirk Sudholt |
| 2018 | GECCO | Medium step sizes are harmful for the compact genetic algorithm. | Johannes Lengler, Dirk Sudholt, Carsten Witt |
| 2018 | GECCO | Memetic algorithms beat evolutionary algorithms on the class of hurdle problems. | Phan Trung Hai Nguyen, Dirk Sudholt |
| 2018 | GECCO | Runtime analysis of probabilistic crowding and restricted tournament selection for bimodal optimisation. | Edgar Covantes Osuna, Dirk Sudholt |
| 2018 | GECCO | On the robustness of evolutionary algorithms to noise: refined results and an example where noise helps. | Dirk Sudholt |
| 2018 | PPSN | Empirical Analysis of Diversity-Preserving Mechanisms on Example Landscapes for Multimodal Optimisation. | Edgar Covantes Osuna, Dirk Sudholt |
| 2018 | PPSN | Tutorials at PPSN 2018. | Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Mart, Yi Mei, Juan Julin Merelo Guervs, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang |
| 2017 | FOGA | Analysis of the Clearing Diversity-Preserving Mechanism. | Edgar Covantes Osuna, Dirk Sudholt |
| 2017 | GECCO | Theoretical results on bet-and-run as an initialisation strategy. | Andrei Lissovoi, Dirk Sudholt, Markus Wagner, Christine Zarges |
| 2017 | GECCO | When is it beneficial to reject improvements? | Samadhi Nallaperuma, Pietro S. Oliveto, Jorge Prez Heredia, Dirk Sudholt |
| 2017 | GECCO | Speeding up evolutionary multi-objective optimisation through diversity-based parent selection. | Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt |
| 2017 | GECCO | Theory of swarm intelligence: tutorial at GECCO 2017. | Dirk Sudholt |
| 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 | Runtime Analysis for the Parameter-less Population Pyramid. | Brian W. Goldman, Dirk Sudholt |
| 2016 | GECCO | When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys. | Pietro S. Oliveto, Tiago Paixo, Jorge Prez Heredia, Dirk Sudholt, Barbora Trubenov |
| 2016 | GECCO | Theory of Swarm Intelligence. | Dirk Sudholt |
| 2016 | GECCO | Update Strength in EDAs and ACO: How to Avoid Genetic Drift. | Dirk Sudholt, Carsten Witt |
| 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 | Tutorials at PPSN 2016. | Carola Doerr, Nicolas Bredche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malag, Juan Julin Merelo Guervs, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jrg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer |
| 2015 | FOGA | Black-box Complexity of Parallel Search with Distributed Populations. | Golnaz Badkobeh, Per Kristian Lehre, Dirk Sudholt |
| 2015 | GECCO | On Easiest Functions for Somatic Contiguous Hypermutations And Standard Bit Mutations. | Dogan Corus, Jun He, Thomas Jansen, Pietro S. Oliveto, Dirk Sudholt, Christine Zarges |
| 2015 | GECCO | First Steps Towards a Runtime Comparison of Natural and Artificial Evolution. | Tiago Paixo, Jorge Prez Heredia, Dirk Sudholt, Barbora Trubenov |
| 2015 | GECCO | Theory of Swarm Intelligence. | Dirk Sudholt |
| 2014 | GECCO | Design and analysis of adaptive migration intervals in parallel evolutionary algorithms. | Andrea Mambrini, Dirk Sudholt |
| 2014 | GECCO | A fixed budget analysis of randomized search heuristics for the traveling salesperson problem. | Samadhi Nallaperuma, Frank Neumann, Dirk Sudholt |
| 2014 | GECCO | On the runtime analysis of stochastic ageing mechanisms. | Pietro S. Oliveto, Dirk Sudholt |
| 2014 | GECCO | Theory of swarm intelligence. | Dirk Sudholt |
| 2014 | PPSN | Unbiased Black-Box Complexity of Parallel Search. | Golnaz Badkobeh, Per Kristian Lehre, Dirk Sudholt |
| 2014 | PPSN | On the Runtime Analysis of Fitness Sharing Mechanisms. | Pietro S. Oliveto, Dirk Sudholt, Christine Zarges |
| 2013 | FOGA | When do evolutionary algorithms optimize separable functions in parallel? | Benjamin Doerr, Dirk Sudholt, Carsten Witt |
| 2013 | GECCO | A theoretical runtime and empirical analysis of different alternating variable searches for search-based testing. | Joseph Kempka, Phil McMinn, Dirk Sudholt |
| 2012 | GECCO | Evolutionary algorithms for the project scheduling problem: runtime analysis and improved design. | Leandro L. Minku, Dirk Sudholt, Xin Yao |
| 2012 | GECCO | Runtime analysis of convex evolutionary search. | Alberto Moraglio, Dirk Sudholt |
| 2012 | GECCO | The choice of the offspring population size in the (1, λ) EA. | Jonathan E. Rowe, Dirk Sudholt |
| 2012 | GECCO | Crossover speeds up building-block assembly. | Dirk Sudholt |
| 2012 | GECCO | Theory of swarm intelligence. | Dirk Sudholt |
| 2012 | PPSN | Homogeneous and Heterogeneous Island Models for the Set Cover Problem. | Andrea Mambrini, Dirk Sudholt, Xin Yao |
| 2011 | FOGA | Simple max-min ant systems and the optimization of linear pseudo-boolean functions. | Timo Ktzing, Frank Neumann, Dirk Sudholt, Markus Wagner |
| 2011 | FOGA | Adaptive population models for offspring populations and parallel evolutionary algorithms. | Jrg Lssig, Dirk Sudholt |
| 2011 | FOGA | Using markov-chain mixing time estimates for the analysis of ant colony optimization. | Dirk Sudholt |
| 2011 | GECCO | How crossover helps in pseudo-boolean optimization. | Timo Ktzing, Dirk Sudholt, Madeleine Theile |
| 2011 | GECCO | On the effectiveness of crossover for migration in parallel evolutionary algorithms. | Frank Neumann, Pietro S. Oliveto, Gnter Rudolph, Dirk Sudholt |
| 2011 | GECCO | Theory of swarm intelligence. | Dirk Sudholt |
| 2011 | ISAAC | Analysis of Speedups in Parallel Evolutionary Algorithms for Combinatorial Optimization - (Extended Abstract). | Jrg Lssig, Dirk Sudholt |
| 2010 | GECCO | Ant colony optimization for stochastic shortest path problems. | Christian Horoba, Dirk Sudholt |
| 2010 | GECCO | The benefit of migration in parallel evolutionary algorithms. | Jrg Lssig, Dirk Sudholt |
| 2010 | GECCO | A few ants are enough: ACO with iteration-best update. | Frank Neumann, Dirk Sudholt, Carsten Witt |
| 2010 | ISAAC | Analysis of an Iterated Local Search Algorithm for Vertex Coloring. | Dirk Sudholt, Christine Zarges |
| 2010 | PPSN | Optimizing Monotone Functions Can Be Difficult. | Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges |
| 2010 | PPSN | Experimental Supplements to the Theoretical Analysis of Migration in the Island Model. | Jrg Lssig, Dirk Sudholt |
| 2010 | PPSN | General Scheme for Analyzing Running Times of Parallel Evolutionary Algorithms. | Jrg Lssig, Dirk Sudholt |
| 2010 | PPSN | General Lower Bounds for the Running Time of Evolutionary Algorithms. | Dirk Sudholt |
| 2008 | GECCO | Theoretical analysis of diversity mechanisms for global exploration. | Tobias Friedrich, Pietro S. Oliveto, Dirk Sudholt, Carsten Witt |
| 2008 | GECCO | Memetic algorithms with variable-depth search to overcome local optima. | Dirk Sudholt |
| 2008 | GECCO | Runtime analysis of binary PSO. | Dirk Sudholt, Carsten Witt |
| 2008 | SIROCCO | Self-stabilizing Cuts in Synchronous Networks. | Thomas Sauerwald, Dirk Sudholt |
| 2007 | GECCO | On the runtime analysis of the 1-ANT ACO algorithm. | Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carsten Witt |
| 2006 | GECCO | On the analysis of the (1+1) memetic algorithm. | Dirk Sudholt |
| 2006 | ISAAC | Local Search in Evolutionary Algorithms: The Impact of the Local Search Frequency. | Dirk Sudholt |
| 2005 | CEC | Design and analysis of an asymmetric mutation operator. | Thomas Jansen, Dirk Sudholt |
| 2005 | GECCO | Crossover is provably essential for the ising model on trees. | Dirk Sudholt |
| 2004 | PPSN | Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization. | Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Rglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener |
| 2004 | PPSN | The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes. | Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Rglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener |