Frank Neumann

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 285

Top Venues

University of Kiel, Germany (PHD)

Education History

University of Kiel, Germany

PHD

Publications

Benjamin Doerr, Joshua Knowles, Aneta Neumann, Frank Neumann
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. GECCO (2024)
Benjamin Doerr, Joshua Knowles, Aneta Neumann, Frank Neumann
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. CoRR (2024)
Adel Nikfarjam, Aneta Neumann, Frank Neumann
On the Use of Quality Diversity Algorithms for the Travelling Thief Problem. ACM Trans. Evol. Learn. Optim. 4 (2) (2024)
Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. GECCO (2024)
Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. GECCO (2024)
Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt
Runtime Analyses of NSGA-III on Many-Objective Problems. CoRR (2024)
Denis Antipov, Aneta Neumann, Frank Neumann
A Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax. GECCO (2024)
Jonathan Gadea Harder, Aneta Neumann, Frank Neumann
Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem. CoRR (2024)
Xiankun Yan, Aneta Neumann, Frank Neumann
Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions. CoRR (2024)
Zahra Ghasemi, Frank Neumann, Max Zanin, John Karageorgos, Lei Chen
An improved genetic programming for predicting semi autogenous grinding mill throughput. CoRR (2024)
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
Evolutionary Multi-Objective Diversity Optimization. CoRR (2024)
Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. GECCO (2024)
Marcus Schmidbauer, Andre Opris, Jakob Bossek, Frank Neumann, Dirk Sudholt
Guiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions. GECCO (2024)
Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
Effective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem. GECCO (2024)
Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton
Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem. CoRR (2024)
Xiankun Yan, Aneta Neumann, Frank Neumann
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems. CoRR (2024)
Sharlotte Gounder, Frank Neumann, Aneta Neumann
Evolutionary Diversity Optimisation for Sparse Directed Communication Networks. GECCO (2024)
Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt
Runtime Analyses of NSGA-III on Many-Objective Problems. GECCO (2024)
Denis Antipov, Aneta Neumann, Frank Neumann
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential. CoRR (2024)
Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bäck, Frank Neumann
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem. CoRR (2024)
Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction. CEC (2024)
Frank Neumann, Carsten Witt
Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints. CoRR (2024)
Frank Neumann, Günter Rudolph
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization. CoRR (2024)
Xiankun Yan, Aneta Neumann, Frank Neumann
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems. GECCO (2024)
Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem. CoRR (2024)
Frank Neumann, Aneta Neumann, Hemant Kumar Singh
Evolutionary computation for stochastic problems. GECCO Companion (2024)
Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen
Limited Query Graph Connectivity Test. AAAI (2024)
Thilina Pathirage Don, Aneta Neumann, Frank Neumann
The Chance Constrained Travelling Thief Problem: Problem Formulations and Algorithms. GECCO (2024)
Adel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann
Quality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes. GECCO (2024)
Adel Nikfarjam, Ralf Rothenberger, Frank Neumann, Tobias Friedrich
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments. GECCO (2023)
Jack Kearney, Frank Neumann, Andrew M. Sutton
Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers. FOGA (2023)
Denis Antipov, Aneta Neumann, Frank Neumann
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. CoRR (2023)
Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. AAAI (2023)
Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. CoRR (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CEC (2023)
Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan
Analysis of the (1+1) EA on LeadingOnes with Constraints. CoRR (2023)
Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif
Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem. GECCO (2023)
Denis Antipov, Aneta Neumann, Frank Neumann
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax. FOGA (2023)
Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties. ECAI (2023)
Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties. CoRR (2023)
Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems. GECCO (2023)
Adel Nikfarjam, Ralf Rothenberger, Frank Neumann, Tobias Friedrich
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments. CoRR (2023)
Frank Neumann, Aneta Neumann, Hemant K. Singh
Evolutionary computation for stochastic problems. GECCO Companion (2023)
Frank Neumann, Carsten Witt
Fast Pareto Optimization Using Sliding Window Selection. ECAI (2023)
Jakob Bossek, Aneta Neumann, Frank Neumann
On the Impact of Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. CoRR (2023)
Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting. CoRR (2023)
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint. IJCAI (2023)
Gabor Zoltai, Yue Xie, Frank Neumann
A Study of Fitness Gains in Evolving Finite State Machines. CoRR (2023)
Gabor Zoltai, Yue Xie, Frank Neumann
A Study of Fitness Gains in Evolving Finite State Machines. AI (2) (2023)
Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen
Limited Query Graph Connectivity Test. CoRR (2023)
Aneta Neumann, Sharlotte Gounder, Xiankun Yan, Gregory Sherman, Benjamin Campbell, Mingyu Guo, Frank Neumann
Diversity Optimization for the Detection and Concealment of Spatially Defined Communication Networks. GECCO (2023)
Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew M. Sutton
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems. CoRR (2023)
Frank Neumann, Carsten Witt
Fast Pareto Optimization Using Sliding Window Selection. CoRR (2023)
Frank Neumann, Carsten Witt
3-Objective Pareto Optimization for Problems with Chance Constraints. CoRR (2023)
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint. CoRR (2023)
Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck
What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms. CoRR (2023)
Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan
Analysis of (1+1) EA on LeadingOnes with Constraints. GECCO (2023)
Kokila Perera, Aneta Neumann, Frank Neumann
Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits. CoRR (2023)
Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen
A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation. CoRR (2023)
Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting. CEC (2023)
Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bäck
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. CoRR (2023)
Jakob Bossek, Aneta Neumann, Frank Neumann
On the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem. GECCO (2023)
Frank Neumann, Carsten Witt
3-Objective Pareto Optimization for Problems with Chance Constraints. GECCO (2023)
Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew M. Sutton
Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems. NeurIPS (2023)
Johannes Lengler, Frank Neumann
Editorial. Algorithmica 84 (6) (2022)
Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann
Computing High-Quality Solutions for the Patient Admission Scheduling Problem using Evolutionary Diversity Optimisation. CoRR (2022)
Adel Nikfarjam, Aneta Neumann, Frank Neumann
Evolutionary diversity optimisation for the traveling thief problem. GECCO (2022)
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
Niching-based evolutionary diversity optimization for the traveling salesperson problem. GECCO (2022)
Feng Shi, Xiankun Yan, Frank Neumann
Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem. PPSN (2) (2022)
Aneta Neumann, Denis Antipov, Frank Neumann
Coevolutionary Pareto diversity optimization. GECCO (2022)
Frank Neumann, Carsten Witt
Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables. IJCAI (2022)
Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann
Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation. PPSN (1) (2022)
Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen
Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs. CoRR (2022)
Adel Nikfarjam, Aneta Neumann, Frank Neumann
On the use of quality diversity algorithms for the traveling thief problem. GECCO (2022)
Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen
Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs. AAAI (2022)
Feng Shi, Xiankun Yan, Frank Neumann
Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem. CoRR (2022)
Aneta Neumann, Yue Xie, Frank Neumann
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits. CoRR (2022)
Jakob Bossek, Aneta Neumann, Frank Neumann
Evolutionary diversity optimization for combinatorial optimization: tutorial at GECCO'22, Boston, USA. GECCO Companion (2022)
Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan
Theoretical Study of Optimizing Rugged Landscapes with the cGA. CoRR (2022)
Diksha Goel, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo
Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation. CoRR (2022)
Frank Neumann, Carsten Witt
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions. PPSN (2) (2022)
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
Analysis of Evolutionary Diversity Optimization for Permutation Problems. ACM Trans. Evol. Learn. Optim. 2 (3) (2022)
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
Niching-based Evolutionary Diversity Optimization for the Traveling Salesperson Problem. CoRR (2022)
Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann
Evolutionary Time-Use Optimization for Improving Children's Health Outcomes. PPSN (2) (2022)
Adel Nikfarjam, Anh Viet Do, Frank Neumann
Analysis of Quality Diversity Algorithms for the Knapsack Problem. CoRR (2022)
Adel Nikfarjam, Aneta Neumann, Frank Neumann
Evolutionary Diversity Optimisation for The Traveling Thief Problem. CoRR (2022)
Diksha Goel, Max Hector Ward-Graham, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo
Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation. GECCO (2022)
Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li
Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems. EvoCOP (2022)
Frank Neumann, Dirk Sudholt, Carsten Witt
The Compact Genetic Algorithm Struggles on Cliff Functions. CoRR (2022)
Aneta Neumann, Yue Xie, Frank Neumann
Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits. PPSN (1) (2022)
Jakob Bossek, Frank Neumann
Exploring the Feature Space of TSP Instances Using Quality Diversity. CoRR (2022)
Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann
Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers. SAC (2022)
Jakob Bossek, Frank Neumann
Exploring the feature space of TSP instances using quality diversity. GECCO (2022)
Frank Neumann, Carsten Witt
Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions. CoRR (2022)
Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann
Co-Evolutionary Diversity Optimisation for the Traveling Thief Problem. CoRR (2022)
Adel Nikfarjam, Anh Viet Do, Frank Neumann
Analysis of Quality Diversity Algorithms for the Knapsack Problem. PPSN (2) (2022)
Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann
Evolutionary Time-Use Optimization for Improving Children's Health Outcomes. CoRR (2022)
Frank Neumann, Dirk Sudholt, Carsten Witt
The compact genetic algorithm struggles on Cliff functions. GECCO (2022)
Vahid Roostapour, Aneta Neumann, Frank Neumann
Single- and multi-objective evolutionary algorithms for the knapsack problem with dynamically changing constraints. Theor. Comput. Sci. 924 (2022)
Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan
Theoretical Study of Optimizing Rugged Landscapes with the cGA. PPSN (2) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Frank Neumann