Frank Neumann

According to our database, Frank Neumann authored at least 305 papers between 2005 and 2024.

Collaborative distances:

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

2024

Evolutionary Multi-Objective Diversity Optimization.

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

CoRR, 2024

Enhanced Genetic Programming Models with Multiple Equations for Accurate Semi-Autogenous Grinding Mill Throughput Prediction.

Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen

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

A Hybrid Intelligent Framework for Maximising SAG Mill Throughput: An Integration of Expert Knowledge, Machine Learning and Evolutionary Algorithms for Parameter Optimisation.

Zahra Ghasemi, Mehdi Neshat, Chris Aldrich, John Karageorgos, Max Zanin, Frank Neumann, Lei Chen

CoRR, 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

Evolutionary Diversity Optimisation in Constructing Satisfying Assignments.

Adel Nikfarjam, Ralf Rothenberger, Frank Neumann, Tobias Friedrich

Proceedings of the Genetic and Evolutionary Computation Conference, 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

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

3-Objective Pareto Optimization for Problems with Chance Constraints.

Frank Neumann, Carsten Witt

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

Fixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers.

Jack Kearney, Frank Neumann, Andrew M. Sutton

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

Optimizing Chance-Constrained Submodular Problems with Variable Uncertainties.

Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Fast Pareto Optimization Using Sliding Window Selection.

Frank Neumann, Carsten Witt

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 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

A Study of Fitness Gains in Evolving Finite State Machines.

Gabor Zoltai, Yue Xie, Frank Neumann

Proceedings of the AI 2023: Advances in Artificial Intelligence, 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

Runtime Performance of Evolutionary Algorithms for the Chance-constrained Makespan Scheduling Problem.

Feng Shi, Xiankun Yan, Frank Neumann

CoRR, 2022

Editorial.

Johannes Lengler, Frank Neumann

Algorithmica, 2022

Pareto optimization for subset selection with dynamic cost constraints.

Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich

Artif. Intell., 2022

Run-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers.

Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 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

Runtime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem.

Feng Shi, Xiankun Yan, 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

Analysis of Quality Diversity Algorithms for the Knapsack Problem.

Adel Nikfarjam, Anh Viet Do, 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

Runtime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions.

Frank Neumann, Carsten Witt

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

Theoretical Study of Optimizing Rugged Landscapes with the cGA.

Tobias Friedrich, Timo Kötzing, Frank Neumann, Aishwarya Radhakrishnan

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

Runtime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables.

Frank Neumann, Carsten Witt

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

Exploring the feature space of TSP instances using quality diversity.

Jakob Bossek, Frank Neumann

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

The compact genetic algorithm struggles on Cliff functions.

Frank Neumann, Dirk Sudholt, Carsten Witt

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

Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.

Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 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

A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization.

Benjamin Doerr, Frank Neumann

ACM Trans. Evol. Learn. Optim., 2021

Time complexity analysis of evolutionary algorithms for 2-hop (1, 2)-minimum spanning tree problem.

Feng Shi, Frank Neumann, Jianxin Wang

Theor. Comput. Sci., 2021

Amplifying influence through coordinated behaviour in social networks.

Derek Weber, Frank Neumann

Soc. Netw. Anal. Min., 2021

Feature-Based Diversity Optimization for Problem Instance Classification.

Wanru Gao, Samadhi Nallaperuma, Frank Neumann

Evol. Comput., 2021

A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links.

Derek Weber, Frank Neumann

CoRR, 2021

Advanced Ore Mine Optimisation under Uncertainty Using Evolution.

William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann

CoRR, 2021

Runtime Performances of Randomized Search Heuristics for the Dynamic Weighted Vertex Cover Problem.

Feng Shi, Frank Neumann, Jianxin Wang

Algorithmica, 2021

Improved Runtime Results for Simple Randomised Search Heuristics on Linear Functions with a Uniform Constraint.

Frank Neumann, Mojgan Pourhassan, Carsten Witt

Algorithmica, 2021

Time Complexity Analysis of Randomized Search Heuristics for the Dynamic Graph Coloring Problem.

Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt

Algorithmica, 2021

Solving Non-uniform Planted and Filtered Random SAT Formulas Greedily.

Tobias Friedrich, Frank Neumann, Ralf Rothenberger, Andrew M. Sutton

Proceedings of the Theory and Applications of Satisfiability Testing - SAT 2021, 2021

Modelling and optimization of run-of-mine stockpile recovery.

Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 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

Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints.

Chao Bian, Chao Qian, Frank Neumann, Yang Yu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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 diversity optimization and the minimum spanning tree problem.

Jakob Bossek, Frank Neumann

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

Novelty particle swarm optimisation for truss optimisation problems.

Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li

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

Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints.

Anh Viet Do, Frank Neumann

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Parameterized Complexity Analysis of Randomized Search Heuristics.

Frank Neumann, Andrew M. Sutton

Proceedings of the Theory of Evolutionary Computation, 2020

Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments.

Frank Neumann, Mojgan Pourhassan, Vahid Roostapour

Proceedings of the Theory of Evolutionary Computation, 2020

Runtime analysis of RLS and (1 + 1) EA for the dynamic weighted vertex cover problem.

Mojgan Pourhassan, Vahid Roostapour, Frank Neumann

Theor. Comput. Sci., 2020

Design and analysis of diversity-based parent selection schemes for speeding up evolutionary multi-objective optimisation.

Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt

Theor. Comput. Sci., 2020

Analysis of the (1 + 1) EA on subclasses of linear functions under uniform and linear constraints.

Tobias Friedrich, Timo Kötzing, J. A. Gregor Lagodzinski, Frank Neumann, Martin Schirneck

Theor. Comput. Sci., 2020

Robust Fitting in Computer Vision: Easy or Hard?

Tat-Jun Chin, Zhipeng Cai, Frank Neumann

Int. J. Comput. Vis., 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

Parameterized Complexity Analysis of Randomized Search Heuristics.

Frank Neumann, Andrew M. Sutton

CoRR, 2020

Probabilistic tree-based representation for solving minimum cost integer flow problems with nonlinear non-convex cost functions.

Behrooz Ghasemishabankareh, Xiaodong Li, Melih Ozlen, Frank Neumann

Appl. Soft Comput., 2020

Correction to: Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints.

Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Kötzing, Frank Neumann

Algorithmica, 2020

Human Interactive EEG-Based Evolutionary Image Animation.

Aneta Neumann, Frank Neumann

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

Using Neural Networks and Diversifying Differential Evolution for Dynamic Optimisation.

Maryam Hasani-Shoreh, Renato Hermoza Aragonés, 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

Maximizing Submodular or Monotone Functions Under Partition Matroid Constraints by Multi-objective Evolutionary Algorithms.

Anh Viet Do, 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

The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms.

Ragav Sachdeva, Frank Neumann, Markus Wagner

Proceedings of the Neural Information Processing - 27th International Conference, 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

Runtime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem.

Vahid Roostapour, Jakob Bossek, 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

The node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics.

Jakob Bossek, Katrin Casel, Pascal Kerschke, Frank Neumann

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

More effective randomized search heuristics for graph coloring through dynamic optimization.

Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt

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

Neural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits.

Maryam Hasani-Shoreh, Renato Hermoza Aragonés, 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

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

Who's in the Gang? Revealing Coordinating Communities in Social Media.

Derek Weber, Frank Neumann

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 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

Parameterized Analysis of Multiobjective Evolutionary Algorithms and the Weighted Vertex Cover Problem.

Mojgan Pourhassan, Feng Shi, Frank Neumann

Evol. Comput., 2019

Theoretical Analysis of Local Search and Simple Evolutionary Algorithms for the Generalized Travelling Salesperson Problem.

Mojgan Pourhassan, Frank Neumann

Evol. Comput., 2019

Automated Algorithm Selection: Survey and Perspectives.

Pascal Kerschke, Holger H. Hoos, Frank Neumann, Heike Trautmann

Evol. Comput., 2019

Foreword.

Holger H. Hoos, Frank Neumann, Heike Trautmann

Evol. Comput., 2019

One-Shot Decision-Making with and without Surrogates.

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

CoRR, 2019

On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints.

Maryam Hasani-Shoreh, Maria Yaneli Ameca-Alducin, Wilson Blaikie, Frank Neumann, Marc Schoenauer

CoRR, 2019

Runtime Analysis of RLS and (1+1) EA for the Dynamic Weighted Vertex Cover Problem.

Mojgan Pourhassan, Vahid Roostapour, Frank Neumann

CoRR, 2019

A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints.

Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann

CoRR, 2019

Reoptimization Time Analysis of Evolutionary Algorithms on Linear Functions Under Dynamic Uniform Constraints.

Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Kötzing, Frank Neumann

Algorithmica, 2019

Quasi-random Image Transition and Animation.

Aneta Neumann, Frank Neumann, Tobias Friedrich

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

On the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization.

Maryam Hasani-Shoreh, Frank Neumann

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

Fast re-optimization via structural diversity.

Benjamin Doerr, Carola Doerr, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

On the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem.

Jakob Bossek, Christian Grimme, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Runtime analysis of randomized search heuristics for dynamic graph coloring.

Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Analysis of baseline evolutionary algorithms for the packing while travelling problem.

Vahid Roostapour, Mojgan Pourhassan, Frank Neumann

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

Runtime analysis of evolutionary algorithms for the depth restricted (1, 2)-minimum spanning tree problem.

Feng Shi, Frank Neumann, Jianxin Wang

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

Runtime analysis of the (1 + 1) evolutionary algorithm for the chance-constrained knapsack problem.

Frank Neumann, Andrew M. Sutton

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

Runtime Analysis of Evolutionary Multi-objective Algorithms Optimising the Degree and Diameter of Spanning Trees.

Wanru Gao, Mojgan Pourhassan, Vahid Roostapour, Frank Neumann

Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Evolving Solutions to Community-Structured Satisfiability Formulas.

Frank Neumann, Andrew M. Sutton

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Greedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints.

Tobias Friedrich, Andreas Göbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Evolutionary Computation for Multicomponent Problems: Opportunities and Future Directions.

Mohammad Reza Bonyadi, Zbigniew Michalewicz, Markus Wagner, Frank Neumann

Proceedings of the Optimization in Industry, Present Practices and Future Scopes., 2019

2018

Analysis of Evolutionary Algorithms in Dynamic and Stochastic Environments.

Vahid Roostapour, Mojgan Pourhassan, Frank Neumann

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

A Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems.

Behrooz Ghasemishabankareh, Melih Ozlen, Frank Neumann, Xiaodong Li

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

Runtime Analysis of Evolutionary Algorithms for the Knapsack Problem with Favorably Correlated Weights.

Frank Neumann, Andrew M. Sutton

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

Evolutionary computation plus dynamic programming for the bi-objective travelling thief problem.

Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

Runtime analysis of randomized search heuristics for the dynamic weighted vertex cover problem.

Feng Shi, Frank Neumann, Jianxin Wang

Proceedings of the Genetic and Evolutionary Computation 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

Randomized greedy algorithms for covering problems.

Wanru Gao, Tobias Friedrich, Frank Neumann, Christian Hercher

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

On the Use of Repair Methods in Differential Evolution for Dynamic Constrained Optimization.

Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Frank Neumann

Proceedings of the Applications of Evolutionary Computation, 2018

A Comparison of Constraint Handling Techniques for Dynamic Constrained Optimization Problems.

Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Wilson Blaikie, Frank Neumann, Efrén Mezura-Montes

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 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

A Fully Polynomial Time Approximation Scheme for Packing While Traveling.

Frank Neumann, Sergey Polyakovskiy, Martin Skutella, Leen Stougie, Junhua Wu

Proceedings of the Algorithmic Aspects of Cloud Computing - 4th International Symposium, 2018

2017

Ahura: A Heuristic-Based Racer for the Open Racing Car Simulator.

Mohammad Reza Bonyadi, Zbigniew Michalewicz, Samadhi Nallaperuma, Frank Neumann

IEEE Trans. Comput. Intell. AI Games, 2017

The Packing While Traveling Problem.

Sergey Polyakovskiy, Frank Neumann

Eur. J. Oper. Res., 2017

Expected Fitness Gains of Randomized Search Heuristics for the Traveling Salesperson Problem.

Samadhi Nallaperuma, Frank Neumann, Dirk Sudholt

Evol. Comput., 2017

Quasi-random Agents for Image Transition and Animation.

Aneta Neumann, Frank Neumann, Tobias Friedrich

CoRR, 2017

Time Complexity Analysis of Evolutionary Algorithms on Random Satisfiable k-CNF Formulas.

Benjamin Doerr, Frank Neumann, Andrew M. Sutton

Algorithmica, 2017

Improved runtime analysis of RLS and (1+1) EA for the dynamic vertex cover problem.

Mojgan Pourhassan, Vahid Roostapour, Frank Neumann

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Parameterized analysis of bio-inspired computing.

Frank Neumann

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Exact Approaches for the Travelling Thief Problem.

Junhua Wu, Markus Wagner, Sergey Polyakovskiy, Frank Neumann

Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Reoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraints.

Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Kötzing, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Speeding up evolutionary multi-objective optimisation through diversity-based parent selection.

Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt

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

On the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms.

Mojgan Pourhassan, Tobias Friedrich, Frank Neumann

Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2017

Analysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints.

Tobias Friedrich, Timo Kötzing, Gregor Lagodzinski, Frank Neumann, Martin Schirneck

Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 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

Scaling up Local Search for Minimum Vertex Cover in Large Graphs by Parallel Kernelization.

Wanru Gao, Tobias Friedrich, Timo Kötzing, Frank Neumann

Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

What's Hot in Evolutionary Computation.

Tobias Friedrich, Frank Neumann

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Solving hard control problems in voting systems via integer programming.

Sergey Polyakovskiy, Rudolf Berghammer, Frank Neumann

Eur. J. Oper. Res., 2016

A Parameterised Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms.

Dogan Corus, Per Kristian Lehre, Frank Neumann, Mojgan Pourhassan

Evol. Comput., 2016

Automated Algorithm Selection and Configuration (Dagstuhl Seminar 16412).

Holger H. Hoos, Frank Neumann, Heike Trautmann

Dagstuhl Reports, 2016

A Feature-Based Prediction Model of Algorithm Selection for Constrained Continuous Optimisation.

Shayan Poursoltan, Frank Neumann

CoRR, 2016

Evolutionary Image Transition Based on Theoretical Insights of Random Processes.

Aneta Neumann, Bradley Alexander, Frank Neumann

CoRR, 2016

Evolutionary computation for multicomponent problems: opportunities and future directions.

Mohammad Reza Bonyadi, Zbigniew Michalewicz, Frank Neumann, Markus Wagner

CoRR, 2016

Parameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem.

Mojgan Pourhassan, Feng Shi, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 2016

Fixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover.

Wanru Gao, Tobias Friedrich, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XIV, 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

Fast and Effective Optimisation of Arrays of Submerged Wave Energy Converters.

Junhua Wu, Slava Shekh, Nataliia Y. Sergiienko, Benjamin S. Cazzolato, Boyin Ding, Frank Neumann, Markus Wagner

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

On the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack Problem.

Junhua Wu, Sergey Polyakovskiy, Frank Neumann

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Fast Building Block Assembly by Majority Vote Crossover.

Tobias Friedrich, Timo Kötzing, Martin S. Krejca, Samadhi Nallaperuma, Frank Neumann, Martin Schirneck

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Runtime Analysis of Evolutionary Diversity Maximization for OneMinMax.

Benjamin Doerr, Wanru Gao, Frank Neumann

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Guaranteed Outlier Removal with Mixed Integer Linear Programs.

Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Feature-based algorithm selection for constrained continuous optimisation.

Frank Neumann, Shayan Poursoltan

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

Population size matters: Rigorous runtime results for maximizing the hypervolume indicator.

Anh Quang Nguyen, Andrew M. Sutton, Frank Neumann

Theor. Comput. Sci., 2015

Analyzing the Effects of Instance Features and Algorithm Parameters for Max-Min Ant System and the Traveling Salesperson Problem.

Samadhi Nallaperuma, Markus Wagner, Frank Neumann

Frontiers Robotics AI, 2015

Efficient optimization of many objectives by approximation-guided evolution.

Markus Wagner, Karl Bringmann, Tobias Friedrich, Frank Neumann

Eur. J. Oper. Res., 2015

Multiplicative Approximations, Optimal Hypervolume Distributions, and the Choice of the Reference Point.

Tobias Friedrich, Frank Neumann, Christian Thyssen

Evol. Comput., 2015

Maximizing Submodular Functions under Matroid Constraints by Evolutionary Algorithms.

Tobias Friedrich, Frank Neumann

Evol. Comput., 2015

On the Performance of Different Genetic Programming Approaches for the SORTING Problem.

Markus Wagner, Frank Neumann, Tommaso Urli

Evol. Comput., 2015

A Feature-Based Analysis on the Impact of Set of Constraints for e-Constrained Differential Evolution.

Shayan Poursoltan, Frank Neumann

CoRR, 2015

Optimising Spatial and Tonal Data for PDE-based Inpainting.

Laurent Hoeltgen, Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Simon Setzer, Daniel Johannsen, Frank Neumann, Benjamin Doerr

CoRR, 2015

On the Runtime of Randomized Local Search and Simple Evolutionary Algorithms for Dynamic Makespan Scheduling.

Frank Neumann, Carsten Witt

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Feature-Based Analysis on the Impact of Set of Constraints for \varepsilon -Constrained Differential Evolution.

Shayan Poursoltan, Frank Neumann

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

A Feature-Based Comparison of Evolutionary Computing Techniques for Constrained Continuous Optimisation.

Shayan Poursoltan, Frank Neumann

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

On the Impact of Local Search Operators and Variable Neighbourhood Search for the Generalized Travelling Salesperson Problem.

Mojgan Pourhassan, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Maintaining 2-Approximations for the Dynamic Vertex Cover Problem Using Evolutionary Algorithms.

Mojgan Pourhassan, Wanru Gao, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Runtime Analysis of Evolutionary Diversity Optimization and the Vertex Cover Problem.

Wanru Gao, Mojgan Pourhassan, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Improved Runtime Bounds for the (1+1) EA on Random 3-CNF Formulas Based on Fitness-Distance Correlation.

Benjamin Doerr, Frank Neumann, Andrew M. Sutton

Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Packing While Traveling: Mixed Integer Programming for a Class of Nonlinear Knapsack Problems.

Sergey Polyakovskiy, Frank Neumann

Proceedings of the Integration of AI and OR Techniques in Constraint Programming, 2015

2014

Editorial for the Special Issue on Theoretical Foundations of Evolutionary Computation.

Frank Neumann, Benjamin Doerr, Per Kristian Lehre, Pauline C. Haddow

IEEE Trans. Evol. Comput., 2014

The Max problem revisited: The importance of mutation in genetic programming.

Timo Kötzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly

Theor. Comput. Sci., 2014

Computational Intelligence for Software Engineering (NII Shonan Meeting 2014-13).

Hong Mei, Frank Neumann, Xin Yao, Leandro L. Minku

NII Shonan Meet. Rep., 2014

Parameterized Runtime Analyses of Evolutionary Algorithms for the Planar Euclidean Traveling Salesperson Problem.

Andrew M. Sutton, Frank Neumann, Samadhi Nallaperuma

Evol. Comput., 2014

A Parameterized Complexity Analysis of Bi-level Optimisation with Evolutionary Algorithms.

Dogan Corus, Per Kristian Lehre, Frank Neumann, Mojgan Pourhassan

CoRR, 2014

User Preferences for Approximation-Guided Multi-objective Evolution.

Anh Quang Nguyen, Markus Wagner, Frank Neumann

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

On the Impact of Utility Functions in Interactive Evolutionary Multi-objective Optimization.

Frank Neumann, Anh Quang Nguyen

Proceedings of the Simulated Evolution and Learning - 10th International Conference, 2014

Runtime Analysis of Evolutionary Algorithms on Randomly Constructed High-Density Satisfiable 3-CNF Formulas.

Andrew M. Sutton, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Parameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem.

Samadhi Nallaperuma, Markus Wagner, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Maximizing Submodular Functions under Matroid Constraints by Multi-objective Evolutionary Algorithms.

Tobias Friedrich, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

A comprehensive benchmark set and heuristics for the traveling thief problem.

Sergey Polyakovskiy, Mohammad Reza Bonyadi, Markus Wagner, Zbigniew Michalewicz, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Parameterized complexity analysis of evolutionary algorithms.

Frank Neumann, Andrew M. Sutton

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A fixed budget analysis of randomized search heuristics for the traveling salesperson problem.

Samadhi Nallaperuma, Frank Neumann, Dirk Sudholt

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

EVOR: an online evolutionary algorithm for car racing games.

Samadhi Nallaperuma, Frank Neumann, Mohammad Reza Bonyadi, Zbigniew Michalewicz

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Runtime analysis for maximizing population diversity in single-objective optimization.

Wanru Gao, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2014

A Feature-based analysis on the impact of linear constraints for ε-constrained differential evolution.

Shayan Poursoltan, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Single- and multi-objective genetic programming: New runtime results for sorting.

Markus Wagner, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013

More effective crossover operators for the all-pairs shortest path problem.

Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Frank Neumann, Madeleine Theile

Theor. Comput. Sci., 2013

Weighted preferences in evolutionary multi-objective optimization.

Tobias Friedrich, Trent Kroeger, Frank Neumann

Int. J. Mach. Learn. Cybern., 2013

A novel feature-based approach to characterize algorithm performance for the traveling salesperson problem.

Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Jakob Bossek, Frank Neumann

Ann. Math. Artif. Intell., 2013

Fixed-Parameter Evolutionary Algorithms and the Vertex Cover Problem.

Stefan Kratsch, Frank Neumann

Algorithmica, 2013

Fast and effective multi-objective optimisation of wind turbine placement.

Raymond Tran, Junhua Wu, Christopher Denison, Thomas Ackling, Markus Wagner, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Ant colony optimisation and the traveling salesperson problem: hardness, features and parameter settings.

Samadhi Nallaperuma, Markus Wagner, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

The generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisation.

Dogan Corus, Per Kristian Lehre, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A fast approximation-guided evolutionary multi-objective algorithm.

Markus Wagner, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

A feature-based comparison of local search and the christofides algorithm for the travelling salesperson problem.

Samadhi Nallaperuma, Markus Wagner, Frank Neumann, Bernd Bischl, Olaf Mersmann, Heike Trautmann

Proceedings of the Foundations of Genetic Algorithms XII, 2013

Parameterized complexity analysis and more effective construction methods for ACO algorithms and the euclidean traveling salesperson problem.

Samadhi Nallaperuma, Andrew M. Sutton, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Fixed-parameter evolutionary algorithms for the Euclidean Traveling Salesperson problem.

Samadhi Nallaperuma, Andrew M. Sutton, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2013

2012

Editorial to the special issue on "Theoretical Foundations of Evolutionary Computation".

Per Kristian Lehre, Frank Neumann, Jonathan E. Rowe, Xin Yao

Theor. Comput. Sci., 2012

Convergence of set-based multi-objective optimization, indicators and deteriorative cycles.

Rudolf Berghammer, Tobias Friedrich, Frank Neumann

Theor. Comput. Sci., 2012

Theoretical analysis of two ACO approaches for the traveling salesman problem.

Timo Kötzing, Frank Neumann, Heiko Röglin, Carsten Witt

Swarm Intell., 2012

A Novel Feature-Based Approach to Characterize Algorithm Performance for the Traveling Salesman Problem

Olaf Mersmann, Bernd Bischl, Heike Trautmann, Markus Wagner, Frank Neumann

CoRR, 2012

A Fast and Effective Local Search Algorithm for Optimizing the Placement of Wind Turbines

Markus Wagner, Jareth Day, Frank Neumann

CoRR, 2012

Parsimony Pressure versus Multi-objective Optimization for Variable Length Representations.

Markus Wagner, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Experimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics.

Tommaso Urli, Markus Wagner, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

A Parameterized Runtime Analysis of Simple Evolutionary Algorithms for Makespan Scheduling.

Andrew M. Sutton, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature - PPSN XII, 2012

Local Search and the Traveling Salesman Problem: A Feature-Based Characterization of Problem Hardness.

Olaf Mersmann, Bernd Bischl, Jakob Bossek, Heike Trautmann, Markus Wagner, Frank Neumann

Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012

A parameterized runtime analysis of evolutionary algorithms for MAX-2-SAT.

Andrew M. Sutton, Jareth Day, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Bioinspired computation in combinatorial optimization: algorithms and their computational complexity.

Frank Neumann, Carsten Witt

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

Computational complexity analysis of multi-objective genetic programming.

Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

An adaptive data structure for evolutionary multi-objective algorithms with unbounded archives.

Joseph Yuen, Sophia Gao, Markus Wagner, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Optimizing energy output and layout costs for large wind farms using particle swarm optimization.

Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2012

A Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem.

Andrew M. Sutton, Frank Neumann

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Illustration of fairness in evolutionary multi-objective optimization.

Tobias Friedrich, Christian Horoba, Frank Neumann

Theor. Comput. Sci., 2011

Runtime analysis of the 1-ANT ant colony optimizer.

Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carsten Witt

Theor. Comput. Sci., 2011

Evolutionary algorithms and dynamic programming.

Benjamin Doerr, Anton V. Eremeev, Frank Neumann, Madeleine Theile, Christian Thyssen

Theor. Comput. Sci., 2011

Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

Katya Vladislavleva, Tobias Friedrich, Frank Neumann, Markus Wagner

CoRR, 2011

Evolving Pacing Strategies for Team Pursuit Track Cycling

Markus Wagner, Jareth Day, Claire Diora Jordan, Trent Kroeger, Frank Neumann

CoRR, 2011

Computational Complexity Results for Genetic Programming and the Sorting Problem

Markus Wagner, Frank Neumann

CoRR, 2011

Computing Minimum Cuts by Randomized Search Heuristics.

Frank Neumann, Joachim Reichel, Martin Skutella

Algorithmica, 2011

Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting.

Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Daniel Johannsen, Frank Neumann, Benjamin Doerr

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Approximation-Guided Evolutionary Multi-Objective Optimization.

Karl Bringmann, Tobias Friedrich, Frank Neumann, Markus Wagner

Proceedings of the IJCAI 2011, 2011

On the effectiveness of crossover for migration in parallel evolutionary algorithms.

Frank Neumann, Pietro S. Oliveto, Günter Rudolph, Dirk Sudholt

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

PAC learning and genetic programming.

Timo Kötzing, Frank Neumann, Reto Spöhel

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Foundations of evolutionary multi-objective optimization.

Tobias Friedrich, Frank Neumann

Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Simple max-min ant systems and the optimization of linear pseudo-boolean functions.

Timo Kötzing, Frank Neumann, Dirk Sudholt, Markus Wagner

Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics.

Greg Durrett, Frank Neumann, Una-May O'Reilly

Proceedings of the Foundations of Genetic Algorithms, 11th International Workshop, 2011

2010

Approximating Pareto-Optimal Sets Using Diversity Strategies in Evolutionary Multi-Objective Optimization.

Christian Horoba, Frank Neumann

Proceedings of the Advances in Multi-Objective Nature Inspired Computing, 2010

Ant Colony Optimization and the minimum spanning tree problem.

Frank Neumann, Carsten Witt

Theor. Comput. Sci., 2010

Plateaus can be harder in multi-objective optimization.

Tobias Friedrich, Nils Hebbinghaus, Frank Neumann

Theor. Comput. Sci., 2010

When to use bit-wise neutrality.

Tobias Friedrich, Frank Neumann

Nat. Comput., 2010

Editorial for the Special Issue on Theoretical Aspects of Evolutionary Multi-Objective Optimization.

Thomas Jansen, Frank Neumann

Evol. Comput., 2010

Approximating Covering Problems by Randomized Search Heuristics Using Multi-Objective Models.

Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt

Evol. Comput., 2010

Editorial.

Benjamin Doerr, Frank Neumann, Ingo Wegener

Algorithmica, 2010

In Memoriam: Ingo Wegener.

Benjamin Doerr, Frank Neumann

Algorithmica, 2010

Evolving Fuzzy Rules: Evaluation of a New Approach.

Adam Ghandar, Zbigniew Michalewicz, Frank Neumann

Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem.

Frank Neumann, Madeleine Theile

Proceedings of the Parallel Problem Solving from Nature, 2010

Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation.

Stefan Kratsch, Per Kristian Lehre, Frank Neumann, Pietro Simone Oliveto

Proceedings of the Parallel Problem Solving from Nature, 2010

Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem.

Süntje Böttcher, Benjamin Doerr, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature, 2010

A few ants are enough: ACO with iteration-best update.

Frank Neumann, Dirk Sudholt, Carsten Witt

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Ant colony optimization and the minimum cut problem.

Timo Kötzing, Per Kristian Lehre, Frank Neumann, Pietro S. Oliveto

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Computational complexity and evolutionary computation.

Thomas Jansen, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Set-based multi-objective optimization, indicators, and deteriorative cycles.

Rudolf Berghammer, Tobias Friedrich, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Theoretical Properties of Two ACO Approaches for the Traveling Salesman Problem.

Timo Kötzing, Frank Neumann, Heiko Röglin, Carsten Witt

Proceedings of the Swarm Intelligence - 7th International Conference, 2010

Bioinspired Computation in Combinatorial Optimization

Frank Neumann, Carsten Witt

Natural Computing Series, Springer, ISBN: 978-3-642-16543-6, 2010

2009

Computational Complexity of Ant Colony Optimization and Its Hybridization with Local Search.

Frank Neumann, Dirk Sudholt, Carsten Witt

Proceedings of the Innovations in Swarm Intelligence, 2009

On the Effects of Adding Objectives to Plateau Functions.

Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler

IEEE Trans. Evol. Comput., 2009

Comparison of simple diversity mechanisms on plateau functions.

Tobias Friedrich, Nils Hebbinghaus, Frank Neumann

Theor. Comput. Sci., 2009

Analysis of different MMAS ACO algorithms on unimodal functions and plateaus.

Frank Neumann, Dirk Sudholt, Carsten Witt

Swarm Intell., 2009

Analyses of Simple Hybrid Algorithms for the Vertex Cover Problem.

Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt

Evol. Comput., 2009

Runtime Analysis of a Simple Ant Colony Optimization Algorithm.

Frank Neumann, Carsten Witt

Algorithmica, 2009

Theoretical analysis of fitness-proportional selection: landscapes and efficiency.

Frank Neumann, Pietro S. Oliveto, Carsten Witt

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Multiplicative approximations and the hypervolume indicator.

Tobias Friedrich, Christian Horoba, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

Additive approximations of pareto-optimal sets by evolutionary multi-objective algorithms.

Christian Horoba, Frank Neumann

Proceedings of the Foundations of Genetic Algorithms, 2009

Computing single source shortest paths using single-objective fitness.

Surender Baswana, Somenath Biswas, Benjamin Doerr, Tobias Friedrich, Piyush P. Kurur, Frank Neumann

Proceedings of the Foundations of Genetic Algorithms, 2009

Theoretical analysis of rank-based mutation - combining exploration and exploitation.

Pietro S. Oliveto, Per Kristian Lehre, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008

Expected runtimes of evolutionary algorithms for the Eulerian cycle problem.

Frank Neumann

Comput. Oper. Res., 2008

Approximating Minimum Multicuts by Evolutionary Multi-objective Algorithms.

Frank Neumann, Joachim Reichel

Proceedings of the Parallel Problem Solving from Nature, 2008

Learning Fuzzy Rules with Evolutionary Algorithms - An Analytic Approach.

Jens Kroeske, Adam Ghandar, Zbigniew Michalewicz, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature, 2008

Runtime Analyses for Using Fairness in Evolutionary Multi-Objective Optimization.

Tobias Friedrich, Christian Horoba, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature, 2008

Analyzing Hypervolume Indicator Based Algorithms.

Dimo Brockhoff, Tobias Friedrich, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature, 2008

Benefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization.

Christian Horoba, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Rigorous analyses of fitness-proportional selection for optimizing linear functions.

Edda Happ, Daniel Johannsen, Christian Klein, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2008

Using fast matrix multiplication in bio-inspired computation for complex optimization problems.

Florian Diedrich, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Rigorous Analyses for the Combination of Ant Colony Optimization and Local Search.

Frank Neumann, Dirk Sudholt, Carsten Witt

Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

Multi-objective Problems in Terms of Relational Algebra.

Florian Diedrich, Britta Kehden, Frank Neumann

Proceedings of the Relations and Kleene Algebra in Computer Science, 2008

Can Single-Objective Optimization Profit from Multiobjective Optimization?

Frank Neumann, Ingo Wegener

Proceedings of the Multiobjective Problem Solving from Nature, 2008

2007

Randomized local search, evolutionary algorithms, and the minimum spanning tree problem.

Frank Neumann, Ingo Wegener

Theor. Comput. Sci., 2007

Expected runtimes of a simple evolutionary algorithm for the multi-objective minimum spanning tree problem.

Frank Neumann

Eur. J. Oper. Res., 2007

Speeding Up Evolutionary Algorithms through Asymmetric Mutation Operators.

Benjamin Doerr, Nils Hebbinghaus, Frank Neumann

Evol. Comput., 2007

Comparing Variants of MMAS ACO Algorithms on Pseudo-Boolean Functions.

Frank Neumann, Dirk Sudholt, Carsten Witt

Proceedings of the Engineering Stochastic Local Search Algorithms. Designing, 2007

Rigorous analyses of simple diversity mechanisms.

Tobias Friedrich, Nils Hebbinghaus, Frank Neumann

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On the runtime analysis of the 1-ANT ACO algorithm.

Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carsten Witt

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

Do additional objectives make a problem harder?

Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler

Proceedings of the Genetic and Evolutionary Computation Conference, 2007

On improving approximate solutions by evolutionary algorithms.

Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A rigorous view on neutrality.

Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus, Frank Neumann

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006

Minimum spanning trees made easier via multi-objective optimization.

Frank Neumann, Ingo Wegener

Nat. Comput., 2006

Speeding up Evolutionary Algorithms by Restricted Mutation Operators.

Nils Hebbinghaus, Benjamin Doerr, Frank Neumann

Electron. Colloquium Comput. Complex., 2006

Speeding Up Evolutionary Algorithms Through Restricted Mutation Operators.

Benjamin Doerr, Nils Hebbinghaus, Frank Neumann

Proceedings of the Parallel Problem Solving from Nature, 2006

A Relation-Algebraic View on Evolutionary Algorithms for Some Graph Problems.

Britta Kehden, Frank Neumann

Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2006

2005

Combinatorial optimization and the analysis of randomized search heuristics.

Frank Neumann

PhD thesis, 2005

Speeding Up Approximation Algorithms for NP-hard Spanning Forest Problems by Multi-objective Optimization

Frank Neumann, Marco Laumanns

Electron. Colloquium Comput. Complex., 2005

RelView - An OBDD-Based Computer Algebra System for Relations.

Rudolf Berghammer, Frank Neumann

Proceedings of the Computer Algebra in Scientific Computing, 8th International Workshop, 2005

Relational Implementation of Simple Parallel Evolutionary Algorithms.

Britta Kehden, Frank Neumann, Rudolf Berghammer

Proceedings of the Relational Methods in Computer Science, 2005