| 2026 | GECCO | Hot off the Press: Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem. | Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 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 | On the Use of Bi-Objective Evolutionary Algorithms for the Stochastic Multiple Knapsack Problem under Dynamic Constraints. | Ishara Hewa Pathiranage, Aneta Neumann |
| 2026 | PPSN | Effective Traveling for Metric Instances of the Traveling Thief Problem. | Jan Eube, Kelin Luo, Aneta Neumann, Frank Neumann, Heiko Rglin |
| 2026 | PPSN | Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem. | Liam Wigney, Aneta Neumann, Yew Soon Ong, Frank Neumann |
| 2025 | CEC | Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem. | Thilina Pathirage Don, Aneta Neumann, Frank Neumann |
| 2025 | EvoCOP | Feature-Based Evolutionary Diversity Optimization of Discriminating Instances for Chance-Constrained Optimization Problems. | Saba Sadeghi Ahouei, Denis Antipov, Aneta Neumann, Frank Neumann |
| 2025 | FOGA | Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions. | Kokila Kasuni Perera, Frank Neumann, Aneta Neumann |
| 2025 | GECCO | Evolutionary computation for stochastic problems. | Frank Neumann, Aneta Neumann, Hemant K. Singh |
| 2025 | GECCO | Evolving Diverse Differentiating Stochastic Constraints Using Multi-objective Indicators. | Saba Sadeghi Ahouei, Aneta Neumann, Frank Neumann |
| 2025 | GECCO | Evolutionary Multitasking for the Scenario-based Travelling Thief Problem. | Thilina Pathirage Don, Aneta Neumann, Frank Neumann |
| 2025 | GECCO | Runtime Analysis of Evolutionary Multitasking for Classical Benchmark Problems. | Johannes Lengler, Aneta Neumann, Frank Neumann |
| 2025 | GECCO | Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms. | Shuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bck, Hao Wang |
| 2025 | GECCO | On the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem. | Liam Wigney, Aneta Neumann, Yew-Soon Ong, Frank Neumann |
| 2025 | GECCO | Quality Diversity Genetic Programming for Learning Scheduling Heuristics. | Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong |
| 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 | AAAI | Limited Query Graph Connectivity Test. | Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen |
| 2024 | CEC | Multi-Objective Evolutionary Optimization for Large-Scale Open Pit Mine Scheduling. | Ishara Hewa Pathiranage, Aneta Neumann |
| 2024 | GECCO | Evolutionary computation for stochastic problems. | Frank Neumann, Aneta Neumann, Hemant Kumar Singh |
| 2024 | GECCO | Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. | Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bck, Frank Neumann |
| 2024 | GECCO | A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax. | Denis Antipov, Aneta Neumann, Frank Neumann |
| 2024 | GECCO | A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. | Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann |
| 2024 | GECCO | The Chance Constrained Travelling Thief Problem: Problem Formulations and Algorithms. | Thilina Pathirage Don, Aneta Neumann, Frank Neumann |
| 2024 | GECCO | Evolutionary Diversity Optimisation for Sparse Directed Communication Networks. | Sharlotte Gounder, Frank Neumann, Aneta Neumann |
| 2024 | GECCO | Quality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes. | Adel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann |
| 2024 | GECCO | Effective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem. | Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann |
| 2024 | GECCO | Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. | Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann |
| 2024 | GECCO | Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem. | Kokila Kasuni Perera, Aneta Neumann |
| 2024 | GECCO | Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems. | Xiankun Yan, Aneta Neumann, Frank Neumann |
| 2024 | GECCO | What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. | Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bck |
| 2024 | PPSN | Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential. | Denis Antipov, Aneta Neumann, Frank Neumann |
| 2024 | PPSN | Runtime Analysis of Evolutionary Diversity Optimization on a Tri-Objective Version of the (LeadingOnes, TrailingZeros) Problem. | Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 2024 | PPSN | Evolutionary Multi-objective Diversity Optimization. | Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2024 | PPSN | Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem. | Jonathan Gadea Harder, Aneta Neumann, Frank Neumann |
| 2024 | PPSN | Multi-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits. | Kokila Kasuni Perera, Frank Neumann, Aneta Neumann |
| 2024 | PPSN | Sliding Window Bi-objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions. | Xiankun Yan, Aneta Neumann, Frank Neumann |
| 2023 | AAAI | Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. | Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen |
| 2023 | CEC | Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. | Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bck |
| 2023 | CEC | Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting. | Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann |
| 2023 | FOGA | Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. | Denis Antipov, Aneta Neumann, Frank Neumann |
| 2023 | GECCO | Analysis of (1+1) EA on LeadingOnes with Constraints. | Tobias Friedrich, Timo Ktzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan |
| 2023 | GECCO | Evolutionary computation for stochastic problems. | Frank Neumann, Aneta Neumann, Hemant K. Singh |
| 2023 | GECCO | Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem. | Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif |
| 2023 | GECCO | On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2023 | GECCO | Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. | Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo |
| 2023 | GECCO | Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space. | Alejandro Marrero, Eduardo Segredo, Emma Hart, Jakob Bossek, Aneta Neumann |
| 2023 | GECCO | Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks. | Aneta Neumann, Sharlotte Gounder, Xiankun Yan, Gregory Sherman, Benjamin Campbell, Mingyu Guo, Frank Neumann |
| 2023 | IJCAI | Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint. | Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2022 | AAAI | Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. | Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen |
| 2022 | GECCO | Evolutionary diversity optimization for combinatorial optimization: tutorial at GECCO'22, Boston, USA. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2022 | GECCO | Niching-based evolutionary diversity optimization for the traveling salesperson problem. | Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2022 | GECCO | Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. | Diksha Goel, Max Hector Ward-Graham, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo |
| 2022 | GECCO | Evolutionary submodular optimisation: tutorial. | Aneta Neumann, Frank Neumann, Chao Qian |
| 2022 | GECCO | Coevolutionary Pareto diversity optimization. | Aneta Neumann, Denis Antipov, Frank Neumann |
| 2022 | GECCO | On the use of quality diversity algorithms for the traveling thief problem. | Adel Nikfarjam, Aneta Neumann, Frank Neumann |
| 2022 | GECCO | Evolutionary diversity optimisation for the traveling thief problem. | Adel Nikfarjam, Aneta Neumann, Frank Neumann |
| 2022 | GECCO | An optimization strategy for the complex large-scale stockpile blending problem. | Yue Xie, Aneta Neumann, Frank Neumann |
| 2022 | PPSN | Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits. | Aneta Neumann, Yue Xie, Frank Neumann |
| 2022 | PPSN | Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation. | Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann |
| 2022 | PPSN | Co-evolutionary Diversity Optimisation for the Traveling Thief Problem. | Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann |
| 2022 | PPSN | Evolutionary Time-Use Optimization for Improving Children's Health Outcomes. | Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann |
| 2021 | CEC | Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems. | Yue Xie, Aneta Neumann, Frank Neumann |
| 2021 | FOGA | Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation. | Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Evolutionary submodular optimisation. | Aneta Neumann, Frank Neumann, Chao Qian |
| 2021 | GECCO | Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Analysis of evolutionary diversity optimisation for permutation problems. | Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions. | Aneta Neumann, Jakob Bossek, Frank Neumann |
| 2021 | GECCO | Entropy-based evolutionary diversity optimisation for the traveling salesperson problem. | Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Advanced mine optimisation under uncertainty using evolution. | William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann |
| 2021 | GECCO | Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints. | Yue Xie, Aneta Neumann, Frank Neumann |
| 2021 | GECCO | Runtime analysis of RLS and the (1+1) EA for the chance-constrained knapsack problem with correlated uniform weights. | Yue Xie, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 2020 | AAAI | Optimization of Chance-Constrained Submodular Functions. | Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton |
| 2020 | ECAI | Evolutionary Bi-Objective Optimization for the Dynamic Chance-Constrained Knapsack Problem Based on Tail Bound Objectives. | Hirad Assimi, Oscar Harper, Yue Xie, Aneta Neumann, Frank Neumann |
| 2020 | ECAI | Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings. | Vanja Doskoc, Tobias Friedrich, Andreas Gbel, Aneta Neumann, Frank Neumann, Francesco Quinzan |
| 2020 | GECCO | Evolutionary computation for digital art. | Aneta Neumann, Frank Neumann |
| 2020 | GECCO | Evolving diverse sets of tours for the travelling salesperson problem. | Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2020 | GECCO | Specific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem. | Yue Xie, Aneta Neumann, Frank Neumann |
| 2020 | PPSN | Evolving Sampling Strategies for One-Shot Optimization Tasks. | Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann |
| 2020 | PPSN | Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions. | Jakob Bossek, Aneta Neumann, Frank Neumann |
| 2020 | PPSN | Optimising Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-objective Algorithms. | Aneta Neumann, Frank Neumann |
| 2019 | AAAI | Pareto Optimization for Subset Selection with Dynamic Cost Constraints. | Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich |
| 2019 | FOGA | Evolving diverse TSP instances by means of novel and creative mutation operators. | Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann |
| 2019 | GECCO | Evolutionary computation for digital art. | Aneta Neumann, Frank Neumann |
| 2019 | GECCO | Evolutionary diversity optimization using multi-objective indicators. | Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann |
| 2019 | GECCO | Evolutionary algorithms for the chance-constrained knapsack problem. | Yue Xie, Oscar Harper, Hirad Assimi, Aneta Neumann, Frank Neumann |
| 2019 | ICONIP | Evolving Pictures in Image Transition Space. | Bradley Alexander, David Hin, Aneta Neumann, Safwan Ull-Karim |
| 2018 | CEC | On the Use of Colour-Based Segmentation in Evolutionary Image Composition. | Aneta Neumann, Frank Neumann |
| 2018 | GECCO | Discrepancy-based evolutionary diversity optimization. | Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner |
| 2018 | GECCO | Evolutionary computation for digital art. | Aneta Neumann, Frank Neumann |
| 2018 | ICONIP | Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network. | Aneta Neumann, Christo Pyromallis, Bradley Alexander |
| 2018 | PPSN | On the Performance of Baseline Evolutionary Algorithms on the Dynamic Knapsack Problem. | Vahid Roostapour, Aneta Neumann, Frank Neumann |
| 2017 | CEC | A modified indicator-based evolutionary algorithm (mIBEA). | Wenwen Li, Ender zcan, Robert I. John, John H. Drake, Aneta Neumann, Markus Wagner |
| 2017 | GECCO | Evolution of artistic image variants through feature based diversity optimisation. | Bradley Alexander, James Kortman, Aneta Neumann |
| 2017 | GECCO | Evolutionary image composition using feature covariance matrices. | Aneta Neumann, Zygmunt L. Szpak, Wojciech Chojnacki, Frank Neumann |
| 2017 | GECCO | Multi-objectiveness in the single-objective traveling thief problem. | Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belad Ahiod, Markus Wagner |
| 2016 | ICONIP | The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation. | Aneta Neumann, Bradley Alexander, Frank Neumann |