Aneta Neumann

According to our database, Aneta Neumann authored at least 79 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Evolutionary Multi-Objective Diversity Optimization.

Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

CoRR, 2024

Limited Query Graph Connectivity Test.

Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Special Issue on Theoretical Foundations of Evolutionary Computation.

Per Kristian Lehre, Aneta Neumann, Chao Qian

Theor. Comput. Sci., March, 2023

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

Jakob Bossek, Aneta Neumann, Frank Neumann

CoRR, 2023

What Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms.

Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bäck

CoRR, 2023

Evolutionary Multi-Objective Algorithms for the Knapsack Problems with Stochastic Profits.

Kokila Perera, Aneta Neumann, Frank Neumann

CoRR, 2023

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

Anh Viet Do, Aneta Neumann, Frank Neumann, Andrew M. Sutton

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint.

Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

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

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Fixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem.

Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Evolutionary computation for stochastic problems.

Frank Neumann, Aneta Neumann, Hemant K. Singh

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

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

Tobias Friedrich, Timo Kötzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Rigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax.

Denis Antipov, Aneta Neumann, Frank Neumann

Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

Improving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting.

Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

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 Bäck

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

Scalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs.

Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Analysis of Evolutionary Diversity Optimization for Permutation Problems.

Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

ACM Trans. Evol. Learn. Optim., 2022

Single- and multi-objective evolutionary algorithms for the knapsack problem with dynamically changing constraints.

Vahid Roostapour, Aneta Neumann, Frank Neumann

Theor. Comput. Sci., 2022

Pareto optimization for subset selection with dynamic cost constraints.

Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich

Artif. Intell., 2022

Evolutionary Time-Use Optimization for Improving Children's Health Outcomes.

Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Co-evolutionary Diversity Optimisation for the Traveling Thief Problem.

Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Computing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation.

Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

Evolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits.

Aneta Neumann, Yue Xie, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVII, 2022

An optimization strategy for the complex large-scale stockpile blending problem.

Yue Xie, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Evolutionary diversity optimisation for the traveling thief problem.

Adel Nikfarjam, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

On the use of quality diversity algorithms for the traveling thief problem.

Adel Nikfarjam, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Coevolutionary Pareto diversity optimization.

Aneta Neumann, Denis Antipov, Frank Neumann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolutionary submodular optimisation: tutorial.

Aneta Neumann, Frank Neumann, Chao Qian

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

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

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Niching-based evolutionary diversity optimization for the traveling salesperson problem.

Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

Evolutionary diversity optimization for combinatorial optimization: tutorial at GECCO'22, Boston, USA.

Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs.

Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Advanced Ore Mine Optimisation under Uncertainty Using Evolution.

William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann

CoRR, 2021

Exact Counting and Sampling of Optima for the Knapsack Problem.

Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

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

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Heuristic strategies for solving complex interacting stockpile blending problem with chance constraints.

Yue Xie, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Advanced mine optimisation under uncertainty using evolution.

William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Entropy-based evolutionary diversity optimisation for the traveling salesperson problem.

Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Diversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions.

Aneta Neumann, Jakob Bossek, Frank Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Analysis of evolutionary diversity optimisation for permutation problems.

Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Breeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms.

Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Evolutionary submodular optimisation.

Aneta Neumann, Frank Neumann, Chao Qian

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Computing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation.

Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the FOGA '21: Foundations of Genetic Algorithms XVI, 2021

Heuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems.

Yue Xie, Aneta Neumann, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Evolutionary Image Transition and Painting Using Random Walks.

Aneta Neumann, Bradley Alexander, Frank Neumann

Evol. Comput., 2020

Computing Diverse Sets of Solutions for Monotone Submodular Optimisation Problems.

Aneta Neumann, Jakob Bossek, Frank Neumann

CoRR, 2020

Evolutionary Multi-Objective Optimization for the Dynamic Knapsack Problem.

Vahid Roostapour, Aneta Neumann, Frank Neumann

CoRR, 2020

Human Interactive EEG-Based Evolutionary Image Animation.

Aneta Neumann, Frank Neumann

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Optimising Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-objective Algorithms.

Aneta Neumann, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Optimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions.

Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Evolving Sampling Strategies for One-Shot Optimization Tasks.

Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Specific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem.

Yue Xie, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolving diverse sets of tours for the travelling salesperson problem.

Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Evolutionary computation for digital art.

Aneta Neumann, Frank Neumann

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Non-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings.

Vanja Doskoc, Tobias Friedrich, Andreas Göbel, Aneta Neumann, Frank Neumann, Francesco Quinzan

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

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

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Optimization of Chance-Constrained Submodular Functions.

Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

One-Shot Decision-Making with and without Surrogates.

Jakob Bossek, Pascal Kerschke, Aneta Neumann, Frank Neumann, Carola Doerr

CoRR, 2019

Quasi-random Image Transition and Animation.

Aneta Neumann, Frank Neumann, Tobias Friedrich

Aust. J. Intell. Inf. Process. Syst., 2019

Evolving Pictures in Image Transition Space.

Bradley Alexander, David Hin, Aneta Neumann, Safwan Ull-Karim

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Evolutionary algorithms for the chance-constrained knapsack problem.

Yue Xie, Oscar Harper, Hirad Assimi, Aneta Neumann, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolutionary diversity optimization using multi-objective indicators.

Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolving diverse TSP instances by means of novel and creative mutation operators.

Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann

Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2019

2018

Evolution of Images with Diversity and Constraints Using a Generator Network.

Aneta Neumann, Christo Pyromallis, Bradley Alexander

CoRR, 2018

On the Performance of Baseline Evolutionary Algorithms on the Dynamic Knapsack Problem.

Vahid Roostapour, Aneta Neumann, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Evolution of Images with Diversity and Constraints Using a Generative Adversarial Network.

Aneta Neumann, Christo Pyromallis, Bradley Alexander

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Discrepancy-based evolutionary diversity optimization.

Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Use of Colour-Based Segmentation in Evolutionary Image Composition.

Aneta Neumann, Frank Neumann

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

Quasi-random Agents for Image Transition and Animation.

Aneta Neumann, Frank Neumann, Tobias Friedrich

CoRR, 2017

Multi-objectiveness in the single-objective traveling thief problem.

Mohamed El Yafrani, Shelvin Chand, Aneta Neumann, Belaïd Ahiod, Markus Wagner

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolutionary image composition using feature covariance matrices.

Aneta Neumann, Zygmunt L. Szpak, Wojciech Chojnacki, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolution of artistic image variants through feature based diversity optimisation.

Bradley Alexander, James Kortman, Aneta Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Evolutionary Image Transition Using Random Walks.

Aneta Neumann, Bradley Alexander, Frank Neumann

Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017

A modified indicator-based evolutionary algorithm (mIBEA).

Wenwen Li, Ender Özcan, Robert I. John, John H. Drake, Aneta Neumann, Markus Wagner

Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016

Evolutionary Image Transition Based on Theoretical Insights of Random Processes.

Aneta Neumann, Bradley Alexander, Frank Neumann

CoRR, 2016

The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation.

Aneta Neumann, Bradley Alexander, Frank Neumann

Proceedings of the Neural Information Processing - 23rd International Conference, 2016