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Aneta Neumann

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Multi-Objective Evolutionary Algorithms with Sliding Window Selection for the Dynamic Chance-Constrained Knapsack Problem

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Apr 12, 2024
Kokila Kasuni Perera, Aneta Neumann

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A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis

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Apr 11, 2024
Benjamin Doerr, Joshua Knowles, Aneta Neumann, Frank Neumann

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Using 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem

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Apr 09, 2024
Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann

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Evolutionary Multi-Objective Diversity Optimization

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Jan 15, 2024
Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

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Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax

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Jul 14, 2023
Denis Antipov, Aneta Neumann, Frank Neumann

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Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems

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Jun 06, 2023
Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew M. Sutton

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On the Impact of Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem

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May 30, 2023
Jakob Bossek, Aneta Neumann, Frank Neumann

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Analysis of the (1+1) EA on LeadingOnes with Constraints

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May 29, 2023
Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan

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Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting

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May 29, 2023
Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann

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Evolving Reinforcement Learning Environment to Minimize Learner's Achievable Reward: An Application on Hardening Active Directory Systems

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Apr 08, 2023
Diksha Goel, Aneta Neumann, Frank Neumann, Hung Nguyen, Mingyu Guo

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