FN
Frank Neumann
cs.NEcs.AIcs.DSAlgorithmscs.LGBiological Evolutionmath.OCModels, Theoreticalcs.CVcs.GT
On Valency
published · living versionsW_ym8gps9n·v1 · currentpublished
PadLoc: Training-Free Floor-Plan Localization by Sparse Geometric Matching
with Marian Bookhahn
1 version
Preprints & journals
161 papers in the corpus · 1994–2026Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem2608.12772v1 · Liam Wigney, Aneta Neumann, Yew-Soon Ong et al.2026 · 0 citationsarXiv
Multitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints2608.10425v2 · Liam Wigney, Frank Neumann2026 · 0 citationsarXiv
Taming Treewidth DP with Modulators: A General Booster for Graph Heuristics2608.04446v1 · Jialiang Li, Aneta Neumann, Frank Neumann et al.2026 · 0 citationsProceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-26), Main Track, pp. 6299-6307, 2026
Quality Diversity for Reliable Data Driven Time-Use Optimization2608.05230v1 · Aneta Neumann, Ty Stanford, Dorothea Dumuid et al.2026 · 0 citationsarXiv
Evolutionary Algorithms and Multi-Objective Minimum Spanning Trees with Limited Distinct Weight Values2606.17731v1 · Narges Tavassoli Kejani, Andrew M. Sutton, Frank Neumann2026 · 0 citationsarXiv
Illuminating the Diversity-Fitness Trade-Off in Black-Box Optimization.40737545 · Santoni, Maria Laura, Raponi, Elena, Neumann, Aneta et al.2026 · 1 citationEvolutionary computation. 2026;34(2):213-233
Effective Traveling for Metric Instances of the Traveling Thief Problem2604.19271v1 · Jan Eube, Kelin Luo, Aneta Neumann et al.2026 · 0 citationsarXiv
The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics2604.06724v1 · Helen Yuliana Angmalisang, Frank Neumann2026 · 0 citationsarXiv
Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking2604.06973v1 · Furong Ye, Frank Neumann, Thomas Back et al.2026 · 0 citationsarXiv
Evolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra2603.28151v1 · Hendrik Richter, Frank Neumann2026 · 0 citationsarXiv
Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem.41343682 · Antipov, Denis, Neumann, Aneta, Neumann, Frank et al.2025 · 0 citationsEvolutionary computation. 2025:1-23
Trust Region-Based Bayesian Optimisation to Discover Diverse Solutions2511.00750v1 · Kokila Kasuni Perera, Frank Neumann, Aneta Neumann2025 · 1 citationarXiv
Fast Pareto Optimization Using Sliding Window Selection for Problems with Determinstic and Stochastic Constraints.41172089 · Neumann, Frank, Witt, Carsten2025 · 1 citationEvolutionary computation. 2025:1-34
Optimizing Monotone Chance-Constrained Submodular Functions Using Evolutionary Multiobjective Algorithms.39316732 · Neumann, Aneta, Neumann, Frank2025 · 6 citationsEvolutionary computation. 2025;33(3):363-393
Quality Diversity Genetic Programming for Learning Scheduling Heuristics2507.02235v1 · Meng Xu, Frank Neumann, Aneta Neumann et al.2025 · 3 citationsarXiv
Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random Variables.39101892 · Neumann, Frank, Witt, Carsten2025 · 13 citationsEvolutionary computation. 2025;33(2):191-214
Weighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem2505.00269v1 · Thilina Pathirage Don, Aneta Neumann, Frank Neumann2025 · 1 citationarXiv
Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms2502.12012v3 · Shuaiqun Pan, Yash J. Patel, Aneta Neumann et al.2025 · 1 citationarXiv
Feature-based Evolutionary Diversity Optimization of Discriminating Instances for Chance-constrained Optimization Problems2501.14284v1 · Saba Sadeghi Ahouei, Denis Antipov, Aneta Neumann et al.2025 · 1 citationarXiv
Theoretical Analysis of Quality Diversity Algorithms for a Classical Path Planning Problem2412.11446v1 · Duc-Cuong Dang, Aneta Neumann, Frank Neumann et al.2024 · 0 citationsarXiv
Fixed-Parameter Tractability of the (1+1) Evolutionary Algorithm on Random Planted Vertex Covers2409.10144v1 · Jack Kearney, Frank Neumann, Andrew M. Sutton2024 · 0 citationsProceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms (FOGA 2023)
Sliding Window Bi-Objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions2407.09731v2 · Xiankun Yan, Aneta Neumann, Frank Neumann2024 · 5 citationsarXiv
Local Optima in Diversity Optimization: Non-trivial Offspring Population is Essential2407.08963v1 · Denis Antipov, Aneta Neumann, Frank Neumann2024 · 1 citationarXiv
Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization2406.13414v1 · Frank Neumann, Gunter Rudolph2024 · 0 citationsarXiv
Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints2406.04899v1 · Frank Neumann, Carsten Witt2024 · 4 citationsarXiv
Evolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem2405.18772v1 · Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann et al.2024 · 6 citationsarXiv
Sampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems2404.11907v1 · Xiankun Yan, Aneta Neumann, Frank Neumann2024 · 12 citationsarXiv
Runtime Analyses of NSGA-III on Many-Objective Problems2404.11433v2 · Andre Opris, Duc-Cuong Dang, Frank Neumann et al.2024 · 40 citationsarXiv
Analysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem2404.11784v1 · Jonathan Gadea Harder, Aneta Neumann, Frank Neumann2024 · 0 citationsarXiv
Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem2404.06014v1 · Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov et al.2024 · 12 citationsarXiv
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis2404.03838v2 · Benjamin Doerr, Joshua Knowles, Aneta Neumann et al.2024 · 2 citationsGECCO '24: Proceedings of the Genetic and Evolutionary Computation Conference, 493 - 501, 2024. ACM
Evolutionary Multi-Objective Diversity Optimization2401.07454v1 · Anh Viet Do, Mingyu Guo, Aneta Neumann et al.2024 · 3 citationsarXiv
A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation2312.10992v1 · Zahra Ghasemi, Mehdi Neshat, Chris Aldrich et al.2023 · 3 citationsarXiv
Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction2401.05382v2 · Zahra Ghasemi, Mehdi Nesht, Chris Aldrich et al.2023 · 0 citationsarXiv
A Study of Fitness Gains in Evolving Finite State Machines2310.13203v1 · Gabor Zoltai, Yue Xie, Frank Neumann2023 · 0 citationsarXiv
Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties2309.14359v1 · Xiankun Yan, Anh Viet Do, Feng Shi et al.2023 · 4 citationsarXiv
Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax2307.07248v1 · Denis Antipov, Aneta Neumann, Frank Neumann2023 · 7 citationsarXiv
Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint2307.07567v1 · Anh Viet Do, Mingyu Guo, Aneta Neumann et al.2023 · 7 citationsarXiv
On the Impact of Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem2305.18955v1 · Jakob Bossek, Aneta Neumann, Frank Neumann2023 · 1 citationarXiv
Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting2305.17957v1 · Michael Stimson, William Reid, Aneta Neumann et al.2023 · 6 citationsarXiv
Analysis of the (1+1) EA on LeadingOnes with Constraints2305.18267v1 · Tobias Friedrich, Timo Kotzing, Aneta Neumann et al.2023 · 1 citationarXiv
Evolutionary Diversity Optimisation in Constructing Satisfying Assignments2305.11457v1 · Adel Nikfarjam, Ralf Rothenberger, Frank Neumann et al.2023 · 5 citationsarXiv
Fast Pareto Optimization Using Sliding Window Selection2305.07178v1 · Frank Neumann, Carsten Witt2023 · 8 citationsarXiv
3-Objective Pareto Optimization for Problems with Chance Constraints2304.08774v1 · Frank Neumann, Carsten Witt2023 · 8 citationsarXiv
Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems2304.03998v1 · Diksha Goel, Aneta Neumann, Frank Neumann et al.2023 · 10 citationsarXiv
Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem2303.11281v2 · Samuel Baguley, Tobias Friedrich, Aneta Neumann et al.2023 · 2 citationsarXiv
Towards Self-adaptive Mutation in Evolutionary Multi-Objective Algorithms2303.04611v2 · Furong Ye, Frank Neumann, Jacob de Nobel et al.2023 · 0 citationsarXiv
Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits2303.01695v1 · Kokila Perera, Aneta Neumann, Frank Neumann2023 · 0 citationsarXiv
Limited Query Graph Connectivity Test2302.13036v3 · Mingyu Guo, Jialiang Li, Aneta Neumann et al.2023 · 3 citationsAAAI 2024
Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler2302.01464v1 · Frank Neumann, Aneta Neumann, Chao Qian et al.2023 · 4 citationsarXiv
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