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Frank Neumann

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

247

Venues

19

Active years

2004–2026

Best venue rank

A*

Where they publish

Papers

247 indexed papers, newest first.

YearVenueTitleAuthors
2026GECCOHot off the Press: Runtime Analysis of Evolutionary Diversity Optimization on the Multi-objective (LeadingOnes, TrailingZeros) Problem.Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2026GECCOHot of the Press: Theoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem.Duc-Cuong Dang, Aneta Neumann, Frank Neumann, Andre Opris, Dirk Sudholt
2026GECCOA Generic Framework for Optimisation under Uncertainty with Recourse: Theory and Examples.Joshua D. Knowles, Per Kristian Lehre, Shishen Lin, Frank Neumann, Janina Schreiber, Christine Zarges
2026GECCOEvolutionary Algorithms for Generating Graphs Matching Desired Laplacian Spectra.Hendrik Richter, Frank Neumann
2026GECCOBlock-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking.Furong Ye, Frank Neumann, Thomas Bck, Niki van Stein
2026PPSNThe Traveling Thief Problem with Time Windows: Benchmarks and Heuristics.Helen Yuliana Angmalisang, Frank Neumann
2026PPSNEffective Traveling for Metric Instances of the Traveling Thief Problem.Jan Eube, Kelin Luo, Aneta Neumann, Frank Neumann, Heiko Rglin
2026PPSNEvolutionary Algorithms and Multi-objective Minimum Spanning Trees with Limited Distinct Weight Values.Narges Tavassoli Kejani, Andrew M. Sutton, Frank Neumann
2026PPSNMultitask Pareto Optimization for Monotone Submodular Problems with Dynamic Constraints.Liam Wigney, Frank Neumann
2026PPSNInsights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem.Liam Wigney, Aneta Neumann, Yew Soon Ong, Frank Neumann
2025CECWeighted-Scenario Optimisation for the Chance Constrained Travelling Thief Problem.Thilina Pathirage Don, Aneta Neumann, Frank Neumann
2025EvoCOPFeature-Based Evolutionary Diversity Optimization of Discriminating Instances for Chance-Constrained Optimization Problems.Saba Sadeghi Ahouei, Denis Antipov, Aneta Neumann, Frank Neumann
2025FOGAPopulation Dynamics and Improved Runtime Guarantees for the (μ+1) EA on BinVal.Martin S. Krejca, Frank Neumann, Carsten Witt
2025FOGATrust Region-Based Bayesian Optimisation to Discover Diverse Solutions.Kokila Kasuni Perera, Frank Neumann, Aneta Neumann
2025GECCOEvolutionary computation for stochastic problems.Frank Neumann, Aneta Neumann, Hemant K. Singh
2025GECCOEvolving Diverse Differentiating Stochastic Constraints Using Multi-objective Indicators.Saba Sadeghi Ahouei, Aneta Neumann, Frank Neumann
2025GECCOEvolutionary Multitasking for the Scenario-based Travelling Thief Problem.Thilina Pathirage Don, Aneta Neumann, Frank Neumann
2025GECCORuntime Analysis of Evolutionary Multitasking for Classical Benchmark Problems.Johannes Lengler, Aneta Neumann, Frank Neumann
2025GECCOEvolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms.Shuaiqun Pan, Yash J. Patel, Aneta Neumann, Frank Neumann, Thomas Bck, Hao Wang
2025GECCOOn the Use of Matching Algorithms to Transfer Solutions for the Travelling Salesperson Problem.Liam Wigney, Aneta Neumann, Yew-Soon Ong, Frank Neumann
2025GECCOQuality Diversity Genetic Programming for Learning Scheduling Heuristics.Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong
2025IJCAITheoretical Analysis of Evolutionary Algorithms with Quality Diversity for a Classical Path Planning Problem.Duc-Cuong Dang, Aneta Neumann, Frank Neumann, Andre Opris, Dirk Sudholt
2024AAAILimited Query Graph Connectivity Test.Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung X. Nguyen
2024CECEnhanced 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
2024GECCOEvolutionary computation for stochastic problems.Frank Neumann, Aneta Neumann, Hemant Kumar Singh
2024GECCOEvolving Reliable Differentiating Constraints for the Chance-constrained Maximum Coverage Problem.Saba Sadeghi Ahouei, Jacob de Nobel, Aneta Neumann, Thomas Bck, Frank Neumann
2024GECCOA Detailed Experimental Analysis of Evolutionary Diversity Optimization for OneMinMax.Denis Antipov, Aneta Neumann, Frank Neumann
2024GECCOA Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis.Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann
2024GECCOThe Chance Constrained Travelling Thief Problem: Problem Formulations and Algorithms.Thilina Pathirage Don, Aneta Neumann, Frank Neumann
2024GECCOEvolutionary Diversity Optimisation for Sparse Directed Communication Networks.Sharlotte Gounder, Frank Neumann, Aneta Neumann
2024GECCOQuality Diversity Approaches for Time-Use Optimisation to Improve Health Outcomes.Adel Nikfarjam, Ty Stanford, Aneta Neumann, Dorothea Dumuid, Frank Neumann
2024GECCORuntime Analyses of NSGA-III on Many-Objective Problems.Andre Opris, Duc-Cuong Dang, Frank Neumann, Dirk Sudholt
2024GECCOEffective 2- and 3-Objective MOEA/D Approaches for the Chance Constrained Knapsack Problem.Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
2024GECCOUsing 3-Objective Evolutionary Algorithms for the Dynamic Chance Constrained Knapsack Problem.Ishara Hewa Pathiranage, Frank Neumann, Denis Antipov, Aneta Neumann
2024GECCOGuiding Quality Diversity on Monotone Submodular Functions: Customising the Feature Space by Adding Boolean Conjunctions.Marcus Schmidbauer, Andre Opris, Jakob Bossek, Frank Neumann, Dirk Sudholt
2024GECCOSampling-based Pareto Optimization for Chance-constrained Monotone Submodular Problems.Xiankun Yan, Aneta Neumann, Frank Neumann
2024GECCOWhat Performance Indicators to Use for Self-Adaptation in Multi-Objective Evolutionary Algorithms.Furong Ye, Frank Neumann, Jacob de Nobel, Aneta Neumann, Thomas Bck
2024PPSNLocal Optima in Diversity Optimization: Non-trivial Offspring Population is Essential.Denis Antipov, Aneta Neumann, Frank Neumann
2024PPSNRuntime Analysis of Evolutionary Diversity Optimization on a Tri-Objective Version of the (LeadingOnes, TrailingZeros) Problem.Denis Antipov, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2024PPSNEvolutionary Multi-objective Diversity Optimization.Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
2024PPSNAnalysis of Evolutionary Diversity Optimisation for the Maximum Matching Problem.Jonathan Gadea Harder, Aneta Neumann, Frank Neumann
2024PPSNArchive-Based Single-Objective Evolutionary Algorithms for Submodular Optimization.Frank Neumann, Gnter Rudolph
2024PPSNSliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints.Frank Neumann, Carsten Witt
2024PPSNMulti-objective Evolutionary Approaches for the Knapsack Problem with Stochastic Profits.Kokila Kasuni Perera, Frank Neumann, Aneta Neumann
2024PPSNSliding Window Bi-objective Evolutionary Algorithms for Optimizing Chance-Constrained Monotone Submodular Functions.Xiankun Yan, Aneta Neumann, Frank Neumann
2023AAAIScalable Edge Blocking Algorithms for Defending Active Directory Style Attack Graphs.Mingyu Guo, Max Ward, Aneta Neumann, Frank Neumann, Hung Nguyen
2023CECBenchmarking 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 Bck
2023CECImproving Confidence in Evolutionary Mine Scheduling via Uncertainty Discounting.Michael Stimson, William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann
2023ECAIFast Pareto Optimization Using Sliding Window Selection.Frank Neumann, Carsten Witt
2023ECAIOptimizing Chance-Constrained Submodular Problems with Variable Uncertainties.Xiankun Yan, Anh Viet Do, Feng Shi, Xiaoyu Qin, Frank Neumann
2023FOGARigorous Runtime Analysis of Diversity Optimization with GSEMO on OneMinMax.Denis Antipov, Aneta Neumann, Frank Neumann
2023FOGAFixed-Parameter Tractability of the (1 + 1) Evolutionary Algorithm on Random Planted Vertex Covers.Jack Kearney, Frank Neumann, Andrew M. Sutton
2023GECCOAnalysis of (1+1) EA on LeadingOnes with Constraints.Tobias Friedrich, Timo Ktzing, Aneta Neumann, Frank Neumann, Aishwarya Radhakrishnan
2023GECCOEvolutionary computation for stochastic problems.Frank Neumann, Aneta Neumann, Hemant K. Singh
2023GECCO3-Objective Pareto Optimization for Problems with Chance Constraints.Frank Neumann, Carsten Witt
2023GECCOFixed Parameter Multi-Objective Evolutionary Algorithms for the W-Separator Problem.Samuel Baguley, Tobias Friedrich, Aneta Neumann, Frank Neumann, Marcus Pappik, Ziena Zeif
2023GECCOOn the Impact of Basic Mutation Operators and Populations within Evolutionary Algorithms for the Dynamic Weighted Traveling Salesperson Problem.Jakob Bossek, Aneta Neumann, Frank Neumann
2023GECCOEvolving 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
2023GECCODiversity 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
2023GECCOEvolutionary Diversity Optimisation in Constructing Satisfying Assignments.Adel Nikfarjam, Ralf Rothenberger, Frank Neumann, Tobias Friedrich
2023GIAgilitt, Praxisbezug und Teamarbeit im Softwareentwicklungsprojekt der Ingenieurinformatik.Frank Neumann, Christina Kratsch
2023GIFoundations for applied artificial intelligence: enabling and supporting AI teaching and research.Ricardo Knauer, Raphael Wallsberger, Marvin Grimm, Marian Bookhahn, Frank Neumann, Stephan Matzka, Erik Rodner
2023IJCAIDiverse Approximations for Monotone Submodular Maximization Problems with a Matroid Constraint.Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
2022AAAIPractical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs.Mingyu Guo, Jialiang Li, Aneta Neumann, Frank Neumann, Hung Nguyen
2022GECCOThe compact genetic algorithm struggles on Cliff functions.Frank Neumann, Dirk Sudholt, Carsten Witt
2022GECCOExploring the feature space of TSP instances using quality diversity.Jakob Bossek, Frank Neumann
2022GECCOEvolutionary diversity optimization for combinatorial optimization: tutorial at GECCO'22, Boston, USA.Jakob Bossek, Aneta Neumann, Frank Neumann
2022GECCONiching-based evolutionary diversity optimization for the traveling salesperson problem.Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
2022GECCODefending 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
2022GECCOEvolutionary submodular optimisation: tutorial.Aneta Neumann, Frank Neumann, Chao Qian
2022GECCOCoevolutionary Pareto diversity optimization.Aneta Neumann, Denis Antipov, Frank Neumann
2022GECCOOn the use of quality diversity algorithms for the traveling thief problem.Adel Nikfarjam, Aneta Neumann, Frank Neumann
2022GECCOEvolutionary diversity optimisation for the traveling thief problem.Adel Nikfarjam, Aneta Neumann, Frank Neumann
2022GECCOAn optimization strategy for the complex large-scale stockpile blending problem.Yue Xie, Aneta Neumann, Frank Neumann
2022GIConcept, Implementation and Evaluation of a Virtual Learning Environment for Acquiring Competences in Android App Development.Frank Neumann, Juan Carlos Rodrguez-del-Pino, Sebastian Homer
2022IJCAIRuntime Analysis of Single- and Multi-Objective Evolutionary Algorithms for Chance Constrained Optimization Problems with Normally Distributed Random Variables.Frank Neumann, Carsten Witt
2022PPSNTheoretical Study of Optimizing Rugged Landscapes with the cGA.Tobias Friedrich, Timo Ktzing, Frank Neumann, Aishwarya Radhakrishnan
2022PPSNRuntime Analysis of the (1+1) EA on Weighted Sums of Transformed Linear Functions.Frank Neumann, Carsten Witt
2022PPSNEvolutionary Algorithms for Limiting the Effect of Uncertainty for the Knapsack Problem with Stochastic Profits.Aneta Neumann, Yue Xie, Frank Neumann
2022PPSNAnalysis of Quality Diversity Algorithms for the Knapsack Problem.Adel Nikfarjam, Anh Viet Do, Frank Neumann
2022PPSNComputing High-Quality Solutions for the Patient Admission Scheduling Problem Using Evolutionary Diversity Optimisation.Adel Nikfarjam, Amirhossein Moosavi, Aneta Neumann, Frank Neumann
2022PPSNCo-evolutionary Diversity Optimisation for the Traveling Thief Problem.Adel Nikfarjam, Aneta Neumann, Jakob Bossek, Frank Neumann
2022PPSNRuntime Analysis of Simple Evolutionary Algorithms for the Chance-Constrained Makespan Scheduling Problem.Feng Shi, Xiankun Yan, Frank Neumann
2022PPSNEvolutionary Time-Use Optimization for Improving Children's Health Outcomes.Yue Xie, Aneta Neumann, Ty Stanford, Charlotte Lund Rasmussen, Dorothea Dumuid, Frank Neumann
2022SACRun-of-mine stockyard recovery scheduling and optimisation for multiple reclaimers.Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann
2021AAAIPareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints.Anh Viet Do, Frank Neumann
2021CECHeuristic Strategies for Solving Complex Interacting Large-Scale Stockpile Blending Problems.Yue Xie, Aneta Neumann, Frank Neumann
2021FOGAComputing diverse sets of high quality TSP tours by EAX-based evolutionary diversity optimisation.Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann
2021GECCOEvolutionary submodular optimisation.Aneta Neumann, Frank Neumann, Chao Qian
2021GECCONovelty particle swarm optimisation for truss optimisation problems.Hirad Assimi, Frank Neumann, Markus Wagner, Xiaodong Li
2021GECCOEvolutionary diversity optimization and the minimum spanning tree problem.Jakob Bossek, Frank Neumann
2021GECCOBreeding diverse packings for the knapsack problem by means of diversity-tailored evolutionary algorithms.Jakob Bossek, Aneta Neumann, Frank Neumann
2021GECCOAnalysis of evolutionary diversity optimisation for permutation problems.Anh Viet Do, Mingyu Guo, Aneta Neumann, Frank Neumann
2021GECCODiversifying greedy sampling and evolutionary diversity optimisation for constrained monotone submodular functions.Aneta Neumann, Jakob Bossek, Frank Neumann
2021GECCOEntropy-based evolutionary diversity optimisation for the traveling salesperson problem.Adel Nikfarjam, Jakob Bossek, Aneta Neumann, Frank Neumann
2021GECCOAdvanced mine optimisation under uncertainty using evolution.William Reid, Aneta Neumann, Simon Ratcliffe, Frank Neumann
2021GECCOHeuristic strategies for solving complex interacting stockpile blending problem with chance constraints.Yue Xie, Aneta Neumann, Frank Neumann
2021GECCORuntime 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
2021IJCAIFast Pareto Optimization for Subset Selection with Dynamic Cost Constraints.Chao Bian, Chao Qian, Frank Neumann, Yang Yu
2021SACModelling and optimization of run-of-mine stockpile recovery.Hirad Assimi, Ben Koch, Chris Garcia, Markus Wagner, Frank Neumann
2021SATSolving Non-uniform Planted and Filtered Random SAT Formulas Greedily.Tobias Friedrich, Frank Neumann, Ralf Rothenberger, Andrew M. Sutton
2020AAAIOptimization of Chance-Constrained Submodular Functions.Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton
2020ECAIEvolutionary 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
2020ECAINon-Monotone Submodular Maximization with Multiple Knapsacks in Static and Dynamic Settings.Vanja Doskoc, Tobias Friedrich, Andreas Gbel, Aneta Neumann, Frank Neumann, Francesco Quinzan
2020ECAINeural Networks in Evolutionary Dynamic Constrained Optimization: Computational Cost and Benefits.Maryam Hasani-Shoreh, Renato Hermoza Aragons, Frank Neumann
2020GECCOEvolutionary computation for digital art.Aneta Neumann, Frank Neumann
2020GECCOMore effective randomized search heuristics for graph coloring through dynamic optimization.Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt
2020GECCOThe node weight dependent traveling salesperson problem: approximation algorithms and randomized search heuristics.Jakob Bossek, Katrin Casel, Pascal Kerschke, Frank Neumann
2020GECCOEvolving diverse sets of tours for the travelling salesperson problem.Anh Viet Do, Jakob Bossek, Aneta Neumann, Frank Neumann
2020GECCORuntime analysis of evolutionary algorithms with biased mutation for the multi-objective minimum spanning tree problem.Vahid Roostapour, Jakob Bossek, Frank Neumann
2020GECCOSpecific single- and multi-objective evolutionary algorithms for the chance-constrained knapsack problem.Yue Xie, Aneta Neumann, Frank Neumann
2020ICONIPThe Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms.Ragav Sachdeva, Frank Neumann, Markus Wagner
2020PPSNEvolving Sampling Strategies for One-Shot Optimization Tasks.Jakob Bossek, Carola Doerr, Pascal Kerschke, Aneta Neumann, Frank Neumann
2020PPSNOptimising Tours for the Weighted Traveling Salesperson Problem and the Traveling Thief Problem: A Structural Comparison of Solutions.Jakob Bossek, Aneta Neumann, Frank Neumann
2020PPSNMaximizing Submodular or Monotone Functions Under Partition Matroid Constraints by Multi-objective Evolutionary Algorithms.Anh Viet Do, Frank Neumann
2020PPSNOptimising Monotone Chance-Constrained Submodular Functions Using Evolutionary Multi-objective Algorithms.Aneta Neumann, Frank Neumann
2019AAAIGreedy Maximization of Functions with Bounded Curvature under Partition Matroid Constraints.Tobias Friedrich, Andreas Gbel, Frank Neumann, Francesco Quinzan, Ralf Rothenberger
2019AAAIEvolving Solutions to Community-Structured Satisfiability Formulas.Frank Neumann, Andrew M. Sutton
2019AAAIPareto Optimization for Subset Selection with Dynamic Cost Constraints.Vahid Roostapour, Aneta Neumann, Frank Neumann, Tobias Friedrich
2019EMORuntime Analysis of Evolutionary Multi-objective Algorithms Optimising the Degree and Diameter of Spanning Trees.Wanru Gao, Mojgan Pourhassan, Vahid Roostapour, Frank Neumann
2019FOGARuntime analysis of the (1 + 1) evolutionary algorithm for the chance-constrained knapsack problem.Frank Neumann, Andrew M. Sutton
2019FOGARuntime analysis of evolutionary algorithms for the depth restricted (1, 2)-minimum spanning tree problem.Feng Shi, Frank Neumann, Jianxin Wang
2019FOGAEvolving diverse TSP instances by means of novel and creative mutation operators.Jakob Bossek, Pascal Kerschke, Aneta Neumann, Markus Wagner, Frank Neumann, Heike Trautmann
2019FOGAAnalysis of baseline evolutionary algorithms for the packing while travelling problem.Vahid Roostapour, Mojgan Pourhassan, Frank Neumann
2019GECCOImproved runtime results for simple randomised search heuristics on linear functions with a uniform constraint.Frank Neumann, Mojgan Pourhassan, Carsten Witt
2019GECCORuntime analysis of randomized search heuristics for dynamic graph coloring.Jakob Bossek, Frank Neumann, Pan Peng, Dirk Sudholt
2019GECCOOn the benefits of biased edge-exchange mutation for the multi-criteria spanning tree problem.Jakob Bossek, Christian Grimme, Frank Neumann
2019GECCOFast re-optimization via structural diversity.Benjamin Doerr, Carola Doerr, Frank Neumann
2019GECCOEvolutionary computation for digital art.Aneta Neumann, Frank Neumann
2019GECCOEvolutionary diversity optimization using multi-objective indicators.Aneta Neumann, Wanru Gao, Markus Wagner, Frank Neumann
2019GECCOEvolutionary algorithms for the chance-constrained knapsack problem.Yue Xie, Oscar Harper, Hirad Assimi, Aneta Neumann, Frank Neumann
2019ICONIPOn the Use of Diversity Mechanisms in Dynamic Constrained Continuous Optimization.Maryam Hasani-Shoreh, Frank Neumann
2018CECOn the Use of Colour-Based Segmentation in Evolutionary Image Composition.Aneta Neumann, Frank Neumann
2018CECA Comparison of Constraint Handling Techniques for Dynamic Constrained Optimization Problems.Maria Yaneli Ameca-Alducin, Maryam Hasani-Shoreh, Wilson Blaikie, Frank Neumann, Efrn Mezura-Montes
2018ECCVRobust Fitting in Computer Vision: Easy or Hard?Tat-Jun Chin, Zhipeng Cai, Frank Neumann
2018GECCORandomized greedy algorithms for covering problems.Wanru Gao, Tobias Friedrich, Frank Neumann, Christian Hercher
2018GECCODiscrepancy-based evolutionary diversity optimization.Aneta Neumann, Wanru Gao, Carola Doerr, Frank Neumann, Markus Wagner
2018GECCOEvolutionary computation for digital art.Aneta Neumann, Frank Neumann
2018GECCORuntime analysis of randomized search heuristics for the dynamic weighted vertex cover problem.Feng Shi, Frank Neumann, Jianxin Wang
2018GECCOEvolutionary computation plus dynamic programming for the bi-objective travelling thief problem.Junhua Wu, Sergey Polyakovskiy, Markus Wagner, Frank Neumann
2018PPSNRuntime Analysis of Evolutionary Algorithms for the Knapsack Problem with Favorably Correlated Weights.Frank Neumann, Andrew M. Sutton
2018PPSNA Probabilistic Tree-Based Representation for Non-convex Minimum Cost Flow Problems.Behrooz Ghasemishabankareh, Melih Ozlen, Frank Neumann, Xiaodong Li
2018PPSNOn the Performance of Baseline Evolutionary Algorithms on the Dynamic Knapsack Problem.Vahid Roostapour, Aneta Neumann, Frank Neumann
2017AAAIWhat's Hot in Evolutionary Computation.Tobias Friedrich, Frank Neumann
2017FOGAAnalysis of the (1+1) EA on Subclasses of Linear Functions under Uniform and Linear Constraints.Tobias Friedrich, Timo Ktzing, Gregor Lagodzinski, Frank Neumann, Martin Schirneck
2017FOGAOn the Use of the Dual Formulation for Minimum Weighted Vertex Cover in Evolutionary Algorithms.Mojgan Pourhassan, Tobias Friedrich, Frank Neumann
2017GECCOEvolutionary image composition using feature covariance matrices.Aneta Neumann, Zygmunt L. Szpak, Wojciech Chojnacki, Frank Neumann
2017GECCOSpeeding up evolutionary multi-objective optimisation through diversity-based parent selection.Edgar Covantes Osuna, Wanru Gao, Frank Neumann, Dirk Sudholt
2017GECCOReoptimization times of evolutionary algorithms on linear functions under dynamic uniform constraints.Feng Shi, Martin Schirneck, Tobias Friedrich, Timo Ktzing, Frank Neumann
2016CECFeature-based algorithm selection for constrained continuous optimisation.Frank Neumann, Shayan Poursoltan
2016CVPRGuaranteed Outlier Removal with Mixed Integer Linear Programs.Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann
2016GECCORuntime Analysis of Evolutionary Diversity Maximization for OneMinMax.Benjamin Doerr, Wanru Gao, Frank Neumann
2016GECCOFast Building Block Assembly by Majority Vote Crossover.Tobias Friedrich, Timo Ktzing, Martin S. Krejca, Samadhi Nallaperuma, Frank Neumann, Martin Schirneck
2016GECCOOn the Impact of the Renting Rate for the Unconstrained Nonlinear Knapsack Problem.Junhua Wu, Sergey Polyakovskiy, Frank Neumann
2016GECCOFast 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
2016ICONIPThe Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation.Aneta Neumann, Bradley Alexander, Frank Neumann
2016PPSNFixed-Parameter Single Objective Search Heuristics for Minimum Vertex Cover.Wanru Gao, Tobias Friedrich, Frank Neumann
2016PPSNFeature-Based Diversity Optimization for Problem Instance Classification.Wanru Gao, Samadhi Nallaperuma, Frank Neumann
2016PPSNParameterized Analysis of Multi-objective Evolutionary Algorithms and the Weighted Vertex Cover Problem.Mojgan Pourhassan, Feng Shi, Frank Neumann
2015CPAIORPacking While Traveling: Mixed Integer Programming for a Class of Nonlinear Knapsack Problems.Sergey Polyakovskiy, Frank Neumann
2015GECCOImproved Runtime Bounds for the (1+1) EA on Random 3-CNF Formulas Based on Fitness-Distance Correlation.Benjamin Doerr, Frank Neumann, Andrew M. Sutton
2015GECCORuntime Analysis of Evolutionary Diversity Optimization and the Vertex Cover Problem.Wanru Gao, Mojgan Pourhassan, Frank Neumann
2015GECCOParameterized Complexity Analysis of Evolutionary Algorithms.Frank Neumann, Andrew M. Sutton
2015GECCOMaintaining 2-Approximations for the Dynamic Vertex Cover Problem Using Evolutionary Algorithms.Mojgan Pourhassan, Wanru Gao, Frank Neumann
2015GECCOOn the Impact of Local Search Operators and Variable Neighbourhood Search for the Generalized Travelling Salesperson Problem.Mojgan Pourhassan, Frank Neumann
2015ICONIPA Feature-Based Comparison of Evolutionary Computing Techniques for Constrained Continuous Optimisation.Shayan Poursoltan, Frank Neumann
2015ICONIPA Feature-Based Analysis on the Impact of Set of Constraints for \varepsilon -Constrained Differential Evolution.Shayan Poursoltan, Frank Neumann
2015IJCAIOn the Runtime of Randomized Local Search and Simple Evolutionary Algorithms for Dynamic Makespan Scheduling.Frank Neumann, Carsten Witt
2014CECSingle- and multi-objective genetic programming: New runtime results for sorting.Markus Wagner, Frank Neumann
2014CECA Feature-based analysis on the impact of linear constraints for ε-constrained differential evolution.Shayan Poursoltan, Frank Neumann
2014GECCORuntime analysis for maximizing population diversity in single-objective optimization.Wanru Gao, Frank Neumann
2014GECCOEVOR: an online evolutionary algorithm for car racing games.Samadhi Nallaperuma, Frank Neumann, Mohammad Reza Bonyadi, Zbigniew Michalewicz
2014GECCOA fixed budget analysis of randomized search heuristics for the traveling salesperson problem.Samadhi Nallaperuma, Frank Neumann, Dirk Sudholt
2014GECCOParameterized complexity analysis of evolutionary algorithms.Frank Neumann, Andrew M. Sutton
2014GECCOA comprehensive benchmark set and heuristics for the traveling thief problem.Sergey Polyakovskiy, Mohammad Reza Bonyadi, Markus Wagner, Zbigniew Michalewicz, Frank Neumann
2014PPSNMaximizing Submodular Functions under Matroid Constraints by Multi-objective Evolutionary Algorithms.Tobias Friedrich, Frank Neumann
2014PPSNParameter Prediction Based on Features of Evolved Instances for Ant Colony Optimization and the Traveling Salesperson Problem.Samadhi Nallaperuma, Markus Wagner, Frank Neumann
2014PPSNRuntime Analysis of Evolutionary Algorithms on Randomly Constructed High-Density Satisfiable 3-CNF Formulas.Andrew M. Sutton, Frank Neumann
2013CECFixed-parameter evolutionary algorithms for the Euclidean Traveling Salesperson problem.Samadhi Nallaperuma, Andrew M. Sutton, Frank Neumann
2013CECParameterized complexity analysis and more effective construction methods for ACO algorithms and the euclidean traveling salesperson problem.Samadhi Nallaperuma, Andrew M. Sutton, Frank Neumann
2013FOGAA 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
2013GECCOA fast approximation-guided evolutionary multi-objective algorithm.Markus Wagner, Frank Neumann
2013GECCOThe generalized minimum spanning tree problem: a parameterized complexity analysis of bi-level optimisation.Dogan Corus, Per Kristian Lehre, Frank Neumann
2013GECCOAnt colony optimisation and the traveling salesperson problem: hardness, features and parameter settings.Samadhi Nallaperuma, Markus Wagner, Frank Neumann
2013GECCOBioinspired computation in combinatorial optimization: algorithms and their computational complexity.Frank Neumann, Carsten Witt
2013GECCOPopulation size matters: rigorous runtime results for maximizing the hypervolume indicator.Anh Quang Nguyen, Andrew M. Sutton, Frank Neumann
2013GECCOFast and effective multi-objective optimisation of wind turbine placement.Raymond Tran, Junhua Wu, Christopher Denison, Thomas Ackling, Markus Wagner, Frank Neumann
2012AAAIA Parameterized Runtime Analysis of Evolutionary Algorithms for the Euclidean Traveling Salesperson Problem.Andrew M. Sutton, Frank Neumann
2012CECOptimizing energy output and layout costs for large wind farms using particle swarm optimization.Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann
2012CECAn adaptive data structure for evolutionary multi-objective algorithms with unbounded archives.Joseph Yuen, Sophia Gao, Markus Wagner, Frank Neumann
2012GECCOThe max problem revisited: the importance of mutation in genetic programming.Timo Ktzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly
2012GECCOComputational complexity analysis of multi-objective genetic programming.Frank Neumann
2012GECCOBioinspired computation in combinatorial optimization: algorithms and their computational complexity.Frank Neumann, Carsten Witt
2012GECCOA parameterized runtime analysis of evolutionary algorithms for MAX-2-SAT.Andrew M. Sutton, Jareth Day, Frank Neumann
2012PPSNA Parameterized Runtime Analysis of Simple Evolutionary Algorithms for Makespan Scheduling.Andrew M. Sutton, Frank Neumann
2012PPSNExperimental Supplements to the Computational Complexity Analysis of Genetic Programming for Problems Modelling Isolated Program Semantics.Tommaso Urli, Markus Wagner, Frank Neumann
2012PPSNParsimony Pressure versus Multi-objective Optimization for Variable Length Representations.Markus Wagner, Frank Neumann
2011FOGAComputational complexity analysis of simple genetic programming on two problems modeling isolated program semantics.Greg Durrett, Frank Neumann, Una-May O'Reilly
2011FOGASimple max-min ant systems and the optimization of linear pseudo-boolean functions.Timo Ktzing, Frank Neumann, Dirk Sudholt, Markus Wagner
2011GECCOFoundations of evolutionary multi-objective optimization.Tobias Friedrich, Frank Neumann
2011GECCOComputational complexity and evolutionary computation.Thomas Jansen, Frank Neumann
2011GECCOPAC learning and genetic programming.Timo Ktzing, Frank Neumann, Reto Sphel
2011GECCOOn the effectiveness of crossover for migration in parallel evolutionary algorithms.Frank Neumann, Pietro S. Oliveto, Gnter Rudolph, Dirk Sudholt
2011IJCAIApproximation-Guided Evolutionary Multi-Objective Optimization.Karl Bringmann, Tobias Friedrich, Frank Neumann, Markus Wagner
2010GECCOSet-based multi-objective optimization, indicators, and deteriorative cycles.Rudolf Berghammer, Tobias Friedrich, Frank Neumann
2010GECCOFoundations of evolutionary multi-objective optimization.Tobias Friedrich, Frank Neumann
2010GECCOComputational complexity and evolutionary computation.Thomas Jansen, Frank Neumann
2010GECCOAnt colony optimization and the minimum cut problem.Timo Ktzing, Per Kristian Lehre, Frank Neumann, Pietro S. Oliveto
2010GECCOA few ants are enough: ACO with iteration-best update.Frank Neumann, Dirk Sudholt, Carsten Witt
2010PPSNOptimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem.Sntje Bttcher, Benjamin Doerr, Frank Neumann
2010PPSNMore Effective Crossover Operators for the All-Pairs Shortest Path Problem.Benjamin Doerr, Daniel Johannsen, Timo Ktzing, Frank Neumann, Madeleine Theile
2010PPSNFixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of Mutation.Stefan Kratsch, Per Kristian Lehre, Frank Neumann, Pietro Simone Oliveto
2010PPSNHow Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path Problem.Frank Neumann, Madeleine Theile
2009CECTheoretical analysis of rank-based mutation - combining exploration and exploitation.Pietro S. Oliveto, Per Kristian Lehre, Frank Neumann
2009FOGAComputing single source shortest paths using single-objective fitness.Surender Baswana, Somenath Biswas, Benjamin Doerr, Tobias Friedrich, Piyush P. Kurur, Frank Neumann
2009FOGAAdditive approximations of pareto-optimal sets by evolutionary multi-objective algorithms.Christian Horoba, Frank Neumann
2009GECCOEvolutionary algorithms and dynamic programming.Benjamin Doerr, Anton V. Eremeev, Christian Horoba, Frank Neumann, Madeleine Theile
2009GECCOMultiplicative approximations and the hypervolume indicator.Tobias Friedrich, Christian Horoba, Frank Neumann
2009GECCOComputational complexity and evolutionary computation.Thomas Jansen, Frank Neumann
2009GECCOFixed-parameter evolutionary algorithms and the vertex cover problem.Stefan Kratsch, Frank Neumann
2009GECCOTheoretical analysis of fitness-proportional selection: landscapes and efficiency.Frank Neumann, Pietro S. Oliveto, Carsten Witt
2008CECUsing fast matrix multiplication in bio-inspired computation for complex optimization problems.Florian Diedrich, Frank Neumann
2008CECWhen to use bit-wise neutrality.Tobias Friedrich, Frank Neumann
2008GECCORigorous analyses of fitness-proportional selection for optimizing linear functions.Edda Happ, Daniel Johannsen, Christian Klein, Frank Neumann
2008GECCOBenefits and drawbacks for the use of epsilon-dominance in evolutionary multi-objective optimization.Christian Horoba, Frank Neumann
2008GECCOComputational complexity and evolutionary computation.Thomas Jansen, Frank Neumann
2008GECCOComputing minimum cuts by randomized search heuristics.Frank Neumann, Joachim Reichel, Martin Skutella
2008PPSNAnalyzing Hypervolume Indicator Based Algorithms.Dimo Brockhoff, Tobias Friedrich, Frank Neumann
2008PPSNRuntime Analyses for Using Fairness in Evolutionary Multi-Objective Optimization.Tobias Friedrich, Christian Horoba, Frank Neumann
2008PPSNLearning Fuzzy Rules with Evolutionary Algorithms - An Analytic Approach.Jens Kroeske, Adam Ghandar, Zbigniew Michalewicz, Frank Neumann
2008PPSNApproximating Minimum Multicuts by Evolutionary Multi-objective Algorithms.Frank Neumann, Joachim Reichel
2007CECA rigorous view on neutrality.Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus, Frank Neumann
2007CECOn improving approximate solutions by evolutionary algorithms.Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank Neumann, Carsten Witt
2007CECPlateaus can be harder in multi-objective optimization.Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
2007GECCODo additional objectives make a problem harder?Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler
2007GECCOOn the runtime analysis of the 1-ANT ACO algorithm.Benjamin Doerr, Frank Neumann, Dirk Sudholt, Carsten Witt
2007GECCORigorous analyses of simple diversity mechanisms.Tobias Friedrich, Nils Hebbinghaus, Frank Neumann
2007GECCOApproximating covering problems by randomized search heuristics using multi-objective models.Tobias Friedrich, Nils Hebbinghaus, Frank Neumann, Jun He, Carsten Witt
2007GECCOComputational complexity and evolutionary computation.Thomas Jansen, Frank Neumann
2006ISAACRuntime Analysis of a Simple Ant Colony Optimization Algorithm.Frank Neumann, Carsten Witt
2006LATINSpeeding up Approximation Algorithms for NP-Hard Spanning Forest Problems by Multi-objective Optimization.Frank Neumann, Marco Laumanns
2006PPSNSpeeding Up Evolutionary Algorithms Through Restricted Mutation Operators.Benjamin Doerr, Nils Hebbinghaus, Frank Neumann
2005CASCRelView - An OBDD-Based Computer Algebra System for Relations.Rudolf Berghammer, Frank Neumann
2005GECCOMinimum spanning trees made easier via multi-objective optimization.Frank Neumann, Ingo Wegener
2004CECExpected runtimes of evolutionary algorithms for the Eulerian cycle problem.Frank Neumann
2004GECCORandomized Local Search, Evolutionary Algorithms, and the Minimum Spanning Tree Problem.Frank Neumann, Ingo Wegener
2004PPSNExpected Runtimes of a Simple Evolutionary Algorithm for the Multi-objective Minimum Spanning Tree Problem.Frank Neumann