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Benjamin Doerr
Person information
- affiliation: École Polytechnique de Paris, Computer Science Laboratory (LIX), France
- affiliation: Saarland University, Department of Computer Science, Saarbrücken, Germany
- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
- affiliation (PhD 2000): University of Kiel, Germany
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2020 – today
- 2024
- [j131]Henry Bambury, Antoine Bultel, Benjamin Doerr
:
An Extended Jump Functions Benchmark for the Analysis of Randomized Search Heuristics. Algorithmica 86(1): 1-32 (2024) - [j130]Benjamin Doerr, Amirhossein Rajabi, Carsten Witt:
Simulated Annealing is a Polynomial-Time Approximation Scheme for the Minimum Spanning Tree Problem. Algorithmica 86(1): 64-89 (2024) - [j129]Benjamin Doerr, Yassine Ghannane, Marouane Ibn Brahim:
Runtime Analysis for Permutation-based Evolutionary Algorithms. Algorithmica 86(1): 90-129 (2024) - [j128]Benjamin Doerr, Timo Kötzing:
Lower Bounds from Fitness Levels Made Easy. Algorithmica 86(2): 367-395 (2024) - [j127]Denis Antipov
, Maxim Buzdalov
, Benjamin Doerr:
Lazy Parameter Tuning and Control: Choosing All Parameters Randomly from a Power-Law Distribution. Algorithmica 86(2): 442-484 (2024) - [j126]Benjamin Doerr, Andrew James Kelley:
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus. Algorithmica 86(8): 2479-2518 (2024) - [j125]Shouda Wang, Weijie Zheng
, Benjamin Doerr:
Choosing the right algorithm with hints from complexity theory. Inf. Comput. 296: 105125 (2024) - [j124]Firas Ben Jedidia, Benjamin Doerr, Martin S. Krejca
:
Estimation-of-distribution algorithms for multi-valued decision variables. Theor. Comput. Sci. 1003: 114622 (2024) - [c211]Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca:
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. AAAI 2024: 20683-20691 - [c210]Weijie Zheng, Benjamin Doerr:
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. AAAI 2024: 20874-20882 - [c209]Weijie Zheng, Mingfeng Li, Renzhong Deng, Benjamin Doerr:
How to Use the Metropolis Algorithm for Multi-Objective Optimization? AAAI 2024: 20883-20891 - [c208]Denis Antipov
, Benjamin Doerr
, Alexandra Ivanova
:
Already Moderate Population Sizes Provably Yield Strong Robustness to Noise. GECCO 2024 - [c207]Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger:
Hot off the Press: The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. GECCO Companion 2024: 27-28 - [c206]Matthieu Dinot
, Benjamin Doerr
, Ulysse Hennebelle
, Sebastian Will
:
Hot off the Press: Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. GECCO Companion 2024: 33-34 - [c205]Benjamin Doerr
, Aymen Echarghaoui
, Mohammed Jamal
, Martin S. Krejca
:
Runtime Analysis of the (μ + 1) GA: Provable Speed-Ups from Strong Drift towards Diverse Populations. GECCO Companion 2024: 35-36 - [c204]Benjamin Doerr
, Joshua D. Knowles
, Aneta Neumann
, Frank Neumann
:
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. GECCO 2024 - [c203]Simon Wietheger
, Benjamin Doerr
:
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). GECCO Companion 2024: 63-64 - [c202]Weijie Zheng
, Benjamin Doerr
:
Hot off the Press: Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Many Objectives. GECCO Companion 2024: 67-68 - [c201]Weijie Zheng
, Benjamin Doerr
:
Hot off the Press: Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. GECCO Companion 2024: 69-70 - [c200]Weijie Zheng
, Mingfeng Li
, Renzhong Deng
, Benjamin Doerr
:
How to Use the Metropolis Algorithm for Multi-Objective Optimization? GECCO Companion 2024: 71-72 - [c199]Benjamin Doerr:
A Gentle Introduction to Theory (for Non-Theoreticians). GECCO Companion 2024: 800-829 - [c198]Benjamin Doerr
, Martin S. Krejca
, Nguyen Vu
:
Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics. GECCO 2024 - [i129]Benjamin Doerr, Andrew James Kelley:
The Runtime of Random Local Search on the Generalized Needle Problem. CoRR abs/2403.08153 (2024) - [i128]Denis Antipov, Benjamin Doerr, Alexandra Ivanova:
Already Moderate Population Sizes Provably Yield Strong Robustness to Noise. CoRR abs/2404.02090 (2024) - [i127]Benjamin Doerr, Joshua D. Knowles, Aneta Neumann, Frank Neumann:
A Block-Coordinate Descent EMO Algorithm: Theoretical and Empirical Analysis. CoRR abs/2404.03838 (2024) - [i126]Benjamin Doerr, Martin S. Krejca, Nguyen Vu:
Superior Genetic Algorithms for the Target Set Selection Problem Based on Power-Law Parameter Choices and Simple Greedy Heuristics. CoRR abs/2404.04018 (2024) - [i125]Simon Wietheger, Benjamin Doerr:
Near-Tight Runtime Guarantees for Many-Objective Evolutionary Algorithms. CoRR abs/2404.12746 (2024) - [i124]Benjamin Doerr, Martin S. Krejca, Noé Weeks:
Proven Runtime Guarantees for How the MOEA/D Computes the Pareto Front From the Subproblem Solutions. CoRR abs/2405.01014 (2024) - [i123]Benjamin Doerr, Johannes F. Lutzeyer:
Hyper-Heuristics Can Profit From Global Variation Operators. CoRR abs/2407.14237 (2024) - [i122]Weijie Zheng, Benjamin Doerr:
Overcome the Difficulties of NSGA-II via Truthful Crowding Distance with Theoretical Guarantees. CoRR abs/2407.17687 (2024) - 2023
- [j123]Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto
:
(1+1) genetic programming with functionally complete instruction sets can evolve Boolean conjunctions and disjunctions with arbitrarily small error. Artif. Intell. 319: 103906 (2023) - [j122]Weijie Zheng
, Benjamin Doerr
:
Mathematical runtime analysis for the non-dominated sorting genetic algorithm II (NSGA-II). Artif. Intell. 325: 104016 (2023) - [j121]Weijie Zheng, Benjamin Doerr:
Theoretical Analyses of Multiobjective Evolutionary Algorithms on Multimodal Objectives. Evol. Comput. 31(4): 337-373 (2023) - [j120]Benjamin Doerr, Amirhossein Rajabi
:
Stagnation detection meets fast mutation. Theor. Comput. Sci. 946: 113670 (2023) - [j119]Benjamin Doerr, Martin S. Krejca
:
Bivariate estimation-of-distribution algorithms can find an exponential number of optima. Theor. Comput. Sci. 971: 114074 (2023) - [j118]Benjamin Doerr
, Zhongdi Qu
:
A First Runtime Analysis of the NSGA-II on a Multimodal Problem. IEEE Trans. Evol. Comput. 27(5): 1288-1297 (2023) - [c197]Benjamin Doerr, Zhongdi Qu:
Runtime Analysis for the NSGA-II: Provable Speed-Ups from Crossover. AAAI 2023: 12399-12407 - [c196]Benjamin Doerr, Zhongdi Qu:
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. AAAI 2023: 12408-12416 - [c195]Benjamin Doerr
, Zhongdi Qu
:
Hot off the Press: A First Runtime Analysis of the NSGA-II on a Multimodal Problem. GECCO Companion 2023: 15-16 - [c194]Benjamin Doerr
, Zhongdi Qu
:
Hot off the Press: From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. GECCO Companion 2023: 17-18 - [c193]Benjamin Doerr
, Zhongdi Qu
:
Hot off the Press: Runtime Analysis for the NSGA-II - Provable Speed-Ups From Crossover. GECCO Companion 2023: 19-20 - [c192]Firas Ben Jedidia
, Benjamin Doerr
, Martin S. Krejca
:
Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables. GECCO 2023: 230-238 - [c191]Alexandra Ivanova
, Denis Antipov
, Benjamin Doerr
:
Larger Offspring Populations Help the (1 + (λ, λlambda)) Genetic Algorithm to Overcome the Noise. GECCO 2023: 919-928 - [c190]Benjamin Doerr
:
A Gentle Introduction to Theory (for Non-Theoreticians). GECCO Companion 2023: 946-975 - [c189]Benjamin Doerr
, Arthur Dremaux
, Johannes F. Lutzeyer
, Aurélien Stumpf
:
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. GECCO 2023: 990-999 - [c188]Benjamin Doerr
, Taha El Ghazi El Houssaini
, Amirhossein Rajabi
, Carsten Witt
:
How Well Does the Metropolis Algorithm Cope With Local Optima? GECCO 2023: 1000-1008 - [c187]Benjamin Doerr
, Andrew James Kelley
:
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus. GECCO 2023: 1555-1564 - [c186]Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger
:
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. IJCAI 2023: 5522-5530 - [c185]Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will:
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. IJCAI 2023: 5549-5557 - [c184]Simon Wietheger
, Benjamin Doerr:
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). IJCAI 2023: 5657-5665 - [i121]Benjamin Doerr, Andrew James Kelley:
Fourier Analysis Meets Runtime Analysis: Precise Runtimes on Plateaus. CoRR abs/2302.08021 (2023) - [i120]Benjamin Doerr, Aymen Echarghaoui, Mohammed Jamal, Martin S. Krejca:
Lasting Diversity and Superior Runtime Guarantees for the (μ+1) Genetic Algorithm. CoRR abs/2302.12570 (2023) - [i119]Firas Ben Jedidia, Benjamin Doerr, Martin S. Krejca:
Estimation-of-Distribution Algorithms for Multi-Valued Decision Variables. CoRR abs/2302.14420 (2023) - [i118]Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto:
(1+1) Genetic Programming With Functionally Complete Instruction Sets Can Evolve Boolean Conjunctions and Disjunctions with Arbitrarily Small Error. CoRR abs/2303.07455 (2023) - [i117]Benjamin Doerr, Anatolii Kostrygin:
Randomized Rumor Spreading Revisited (Long Version). CoRR abs/2303.11150 (2023) - [i116]Benjamin Doerr, Arthur Dremaux, Johannes F. Lutzeyer, Aurélien Stumpf:
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs. CoRR abs/2304.10414 (2023) - [i115]Benjamin Doerr, Taha El Ghazi El Houssaini, Amirhossein Rajabi, Carsten Witt:
How Well Does the Metropolis Algorithm Cope With Local Optima? CoRR abs/2304.10848 (2023) - [i114]Alexandra Ivanova, Denis Antipov, Benjamin Doerr:
Larger Offspring Populations Help the (1 + (λ, λ)) Genetic Algorithm to Overcome the Noise. CoRR abs/2305.04553 (2023) - [i113]Matthieu Dinot, Benjamin Doerr, Ulysse Hennebelle, Sebastian Will:
Runtime Analyses of Multi-Objective Evolutionary Algorithms in the Presence of Noise. CoRR abs/2305.10259 (2023) - [i112]Sacha Cerf, Benjamin Doerr, Benjamin Hebras, Yakob Kahane, Simon Wietheger:
The First Proven Performance Guarantees for the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) on a Combinatorial Optimization Problem. CoRR abs/2305.13459 (2023) - [i111]Benjamin Doerr, Martin S. Krejca:
Bivariate Estimation-of-Distribution Algorithms Can Find an Exponential Number of Optima. CoRR abs/2310.04042 (2023) - [i110]Weijie Zheng, Benjamin Doerr:
Runtime Analysis of the SMS-EMOA for Many-Objective Optimization. CoRR abs/2312.10290 (2023) - 2022
- [j117]Denis Antipov
, Benjamin Doerr, Vitalii Karavaev:
A Rigorous Runtime Analysis of the (1 + (λ , λ )) GA on Jump Functions. Algorithmica 84(6): 1573-1602 (2022) - [j116]Benjamin Doerr
:
Does Comma Selection Help to Cope with Local Optima? Algorithmica 84(6): 1659-1693 (2022) - [j115]Denis Antipov
, Maxim Buzdalov, Benjamin Doerr:
Fast Mutation in Crossover-Based Algorithms. Algorithmica 84(6): 1724-1761 (2022) - [j114]Maxim Buzdalov
, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov:
Fixed-Target Runtime Analysis. Algorithmica 84(6): 1762-1793 (2022) - [j113]Benjamin Doerr:
A sharp discrepancy bound for jittered sampling. Math. Comput. 91(336): 1871-1892 (2022) - [c183]Weijie Zheng, Yufei Liu, Benjamin Doerr:
A First Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II). AAAI 2022: 10408-10416 - [c182]Benjamin Doerr, Amirhossein Rajabi:
Stagnation Detection Meets Fast Mutation. EvoCOP 2022: 191-207 - [c181]Denis Antipov, Benjamin Doerr:
Precise runtime analysis for plateau functions: (hot-off-the-press track at GECCO 2022). GECCO Companion 2022: 13-14 - [c180]Shouda Wang, Weijie Zheng, Benjamin Doerr:
Choosing the right algorithm with hints from complexity theory: (hot-off-the-press track at GECCO 2022). GECCO Companion 2022: 45-46 - [c179]Weijie Zheng, Yufei Liu, Benjamin Doerr:
A first mathematical runtime analysis of the non-dominated sorting genetic algorithm II (NSGA-II): (hot-off-the-press track at GECCO 2022). GECCO Companion 2022: 53-54 - [c178]Benjamin Doerr, Omar El Hadri, Adrien Pinard:
The (1 + (λ, λ)) global SEMO algorithm. GECCO 2022: 520-528 - [c177]Weijie Zheng, Benjamin Doerr:
Better approximation guarantees for the NSGA-II by using the current crowding distance. GECCO 2022: 611-619 - [c176]Benjamin Doerr:
A gentle introduction to theory (for non-theoreticians). GECCO Companion 2022: 890-921 - [c175]Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr:
Automated algorithm selection for radar network configuration. GECCO 2022: 1263-1271 - [c174]Benjamin Doerr, Amirhossein Rajabi, Carsten Witt
:
Simulated annealing is a polynomial-time approximation scheme for the minimum spanning tree problem. GECCO 2022: 1381-1389 - [c173]Benjamin Doerr, Yassine Ghannane
, Marouane Ibn Brahim:
Towards a stronger theory for permutation-based evolutionary algorithms. GECCO 2022: 1390-1398 - [c172]Benjamin Doerr, Zhongdi Qu:
A First Runtime Analysis of the NSGA-II on a Multimodal Problem. PPSN (2) 2022: 399-412 - [c171]Benjamin Doerr, Marc Dufay:
General Univariate Estimation-of-Distribution Algorithms. PPSN (2) 2022: 470-484 - [i109]Benjamin Doerr, Amirhossein Rajabi:
Stagnation Detection meets Fast Mutation. CoRR abs/2201.12158 (2022) - [i108]Weijie Zheng, Benjamin Doerr:
Better Approximation Guarantees for the NSGA-II by Using the Current Crowding Distance. CoRR abs/2203.02693 (2022) - [i107]Benjamin Doerr, Amirhossein Rajabi, Carsten Witt:
Simulated Annealing is a Polynomial-Time Approximation Scheme for the Minimum Spanning Tree Problem. CoRR abs/2204.02097 (2022) - [i106]Benjamin Doerr, Yassine Ghannane, Marouane Ibn Brahim:
Towards a Stronger Theory for Permutation-based Evolutionary Algorithms. CoRR abs/2204.07637 (2022) - [i105]Zhongdi Qu, Benjamin Doerr:
A First Runtime Analysis of the NSGA-II on a Multimodal Problem. CoRR abs/2204.13750 (2022) - [i104]Quentin Renau, Johann Dréo, Alain Peres, Yann Semet, Carola Doerr, Benjamin Doerr:
Automated Algorithm Selection for Radar Network Configuration. CoRR abs/2205.03670 (2022) - [i103]Weijie Zheng, Benjamin Doerr:
From Understanding Genetic Drift to a Smart-Restart Mechanism for Estimation-of-Distribution Algorithms. CoRR abs/2206.09090 (2022) - [i102]Benjamin Doerr, Marc Dufay:
General Univariate Estimation-of-Distribution Algorithms. CoRR abs/2206.11198 (2022) - [i101]Benjamin Doerr, Yassine Ghannane
, Marouane Ibn Brahim:
Runtime Analysis for Permutation-based Evolutionary Algorithms. CoRR abs/2207.04045 (2022) - [i100]Benjamin Doerr, Zhongdi Qu:
The First Mathematical Proof That Crossover Gives Super-Constant Performance Gains For the NSGA-II. CoRR abs/2208.08759 (2022) - [i99]Benjamin Doerr, Zhongdi Qu:
From Understanding the Population Dynamics of the NSGA-II to the First Proven Lower Bounds. CoRR abs/2209.13974 (2022) - [i98]Benjamin Doerr, Omar El Hadri, Adrien Pinard:
The $(1+(λ, λ))$ Global SEMO Algorithm. CoRR abs/2210.03618 (2022) - [i97]Benjamin Doerr, Simon Wietheger:
A Mathematical Runtime Analysis of the Non-dominated Sorting Genetic Algorithm III (NSGA-III). CoRR abs/2211.08202 (2022) - [i96]Weijie Zheng, Benjamin Doerr:
Runtime Analysis for the NSGA-II: Proving, Quantifying, and Explaining the Inefficiency For Three or More Objectives. CoRR abs/2211.13084 (2022) - [i95]Josu Ceberio Uribe, Benjamin Doerr, Carsten Witt, Vicente P. Soloviev:
Estimation-of-Distribution Algorithms: Theory and Applications (Dagstuhl Seminar 22182). Dagstuhl Reports 12(5): 17-36 (2022) - 2021
- [j112]Benjamin Doerr, Carsten Witt
, Jing Yang:
Runtime Analysis for Self-adaptive Mutation Rates. Algorithmica 83(4): 1012-1053 (2021) - [j111]Denis Antipov
, Benjamin Doerr:
A Tight Runtime Analysis for the (μ + λ ) EA. Algorithmica 83(4): 1054-1095 (2021) - [j110]Benjamin Doerr, Timo Kötzing:
Multiplicative Up-Drift. Algorithmica 83(10): 3017-3058 (2021) - [j109]Benjamin Doerr
:
The Runtime of the Compact Genetic Algorithm on Jump Functions. Algorithmica 83(10): 3059-3107 (2021) - [j108]Benjamin Doerr, Carola Doerr
, Johannes Lengler
:
Self-Adjusting Mutation Rates with Provably Optimal Success Rules. Algorithmica 83(10): 3108-3147 (2021) - [j107]Benjamin Doerr:
Lower Bounds for Non-Elitist Evolutionary Algorithms via Negative Multiplicative Drift. Evol. Comput. 29(2): 305-329 (2021) - [j106]Benjamin Doerr, Martin S. Krejca
:
The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis. Evol. Comput. 29(4): 543-563 (2021) - [j105]Benjamin Doerr:
Runtime analysis of evolutionary algorithms via symmetry arguments. Inf. Process. Lett. 166: 106064 (2021) - [j104]Benjamin Doerr, Sebastian Mayer
:
The recovery of ridge functions on the hypercube suffers from the curse of dimensionality. J. Complex. 63: 101521 (2021) - [j103]Benjamin Doerr, Michael Gnewuch:
On negative dependence properties of Latin hypercube samples and scrambled nets. J. Complex. 67: 101589 (2021) - [j102]Benjamin Doerr:
Exponential upper bounds for the runtime of randomized search heuristics. Theor. Comput. Sci. 851: 24-38 (2021) - [j101]Benjamin Doerr, Martin S. Krejca:
A simplified run time analysis of the univariate marginal distribution algorithm on LeadingOnes. Theor. Comput. Sci. 851: 121-128 (2021) - [j100]Denis Antipov, Benjamin Doerr:
Precise Runtime Analysis for Plateau Functions. ACM Trans. Evol. Learn. Optim. 1(4): 13:1-13:28 (2021) - [j99]Benjamin Doerr, Frank Neumann:
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization. ACM Trans. Evol. Learn. Optim. 1(4): 16:1-16:43 (2021) - [c170]Benjamin Doerr, Weijie Zheng:
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives. AAAI 2021: 12293-12301 - [c169]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. EvoApplications 2021: 17-33 - [c168]Riade Benbaki, Ziyad Benomar, Benjamin Doerr:
A rigorous runtime analysis of the 2-MMASib on jump functions: ant colony optimizers can cope well with local optima. GECCO 2021: 4-13 - [c167]Benjamin Doerr:
Runtime analysis via symmetry arguments: (hot-off-the-press track at GECCO 2021). GECCO Companion 2021: 23-24 - [c166]Benjamin Doerr, Weijie Zheng:
Theoretical analyses of multi-objective evolutionary algorithms on multi-modal objectives: (hot-off-the-press track at GECCO 2021). GECCO Companion 2021: 25-26 - [c165]Benjamin Doerr:
A gentle introduction to theory (for non-theoreticians). GECCO Companion 2021: 369-398 - [c164]Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Lazy parameter tuning and control: choosing all parameters randomly from a power-law distribution. GECCO 2021: 1115-1123 - [c163]Henry Bambury, Antoine Bultel, Benjamin Doerr:
Generalized jump functions. GECCO 2021: 1124-1132 - [c162]Benjamin Doerr, Timo Kötzing:
Lower bounds from fitness levels made easy. GECCO 2021: 1142-1150 - [c161]Shouda Wang, Weijie Zheng
, Benjamin Doerr:
Choosing the Right Algorithm With Hints From Complexity Theory. IJCAI 2021: 1697-1703 - [d2]Quentin Renau, Johann Dréo
, Carola Doerr
, Benjamin Doerr
:
Exploratory Landscape Analysis Feature Values for the 24 Noiseless BBOB Functions. Zenodo, 2021 - [i94]Quentin Renau, Johann Dréo, Carola Doerr, Benjamin Doerr:
Towards Explainable Exploratory Landscape Analysis: Extreme Feature Selection for Classifying BBOB Functions. CoRR abs/2102.00736 (2021) - [i93]Benjamin Doerr:
A Sharp Discrepancy Bound for Jittered Sampling. CoRR abs/2103.15712 (2021) - [i92]Benjamin Doerr, Timo Kötzing:
Lower Bounds from Fitness Levels Made Easy. CoRR abs/2104.03372 (2021) - [i91]Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Lazy Parameter Tuning and Control: Choosing All Parameters Randomly From a Power-Law Distribution. CoRR abs/2104.06714 (2021) - [i90]Benjamin Doerr, Michael Gnewuch:
On Negative Dependence Properties of Latin Hypercube Samples and Scrambled Nets. CoRR abs/2104.10799 (2021) - [i89]Henry Bambury, Antoine Bultel, Benjamin Doerr:
An Extended Jump Function Benchmark for the Analysis of Randomized Search Heuristics. CoRR abs/2105.03090 (2021) - [i88]Shouda Wang, Weijie Zheng, Benjamin Doerr:
Choosing the Right Algorithm With Hints From Complexity Theory. CoRR abs/2109.06584 (2021) - [i87]Weijie Zheng, Yufei Liu, Benjamin Doerr:
A First Mathematical Runtime Analysis of the Non-Dominated Sorting Genetic Algorithm II (NSGA-II). CoRR abs/2112.08581 (2021) - 2020
- [j98]Benjamin Doerr, Carola Doerr
, Jing Yang:
Optimal parameter choices via precise black-box analysis. Theor. Comput. Sci. 801: 1-34 (2020) - [j97]Benjamin Doerr, Weijie Zheng
:
Working principles of binary differential evolution. Theor. Comput. Sci. 801: 110-142 (2020) - [j96]Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski
, Johannes Lengler
:
The impact of lexicographic parsimony pressure for ORDER/MAJORITY on the run time. Theor. Comput. Sci. 816: 144-168 (2020) - [j95]Benjamin Doerr, Martin S. Krejca:
Significance-Based Estimation-of-Distribution Algorithms. IEEE Trans. Evol. Comput. 24(6): 1025-1034 (2020) - [j94]Benjamin Doerr
, Weijie Zheng
:
Sharp Bounds for Genetic Drift in Estimation of Distribution Algorithms. IEEE Trans. Evol. Comput. 24(6): 1140-1149 (2020) - [j93]Benjamin Doerr
, Marvin Künnemann
:
Improved Protocols and Hardness Results for the Two-Player Cryptogenography Problem. IEEE Trans. Inf. Theory 66(9): 5729-5741 (2020) - [c160]Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. AAAI 2020: 1460-1467 - [c159]Benjamin Doerr, Martin S. Krejca:
The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis. EvoCOP 2020: 51-66 - [c158]Benjamin Doerr, Weijie Zheng:
Sharp bounds for genetic drift in estimation of distribution algorithms (Hot-off-the-press track at GECCO 2020). GECCO Companion 2020: 15-16 - [c157]Benjamin Doerr, Martin S. Krejca:
The univariate marginal distribution algorithm copes well with deception and epistasis. GECCO Companion 2020: 17-18 - [c156]Benjamin Doerr:
A gentle introduction to theory (for non-theoreticians). GECCO Companion 2020: 373-403 - [c155]Benjamin Doerr, Martin S. Krejca:
Bivariate estimation-of-distribution algorithms can find an exponential number of optima. GECCO 2020: 796-804 - [c154]Benjamin Doerr, Weijie Zheng:
From understanding genetic drift to a smart-restart parameter-less compact genetic algorithm. GECCO 2020: 805-813 - [c153]Denis Antipov, Benjamin Doerr, Vitalii Karavaev:
The (1 + (λ, λ)) GA is even faster on multimodal problems. GECCO 2020: 1259-1267 - [c152]Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Fast mutation in crossover-based algorithms. GECCO 2020: 1268-1276 - [c151]Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov:
Fixed-target runtime analysis. GECCO 2020: 1295-1303 - [c150]Benjamin Doerr:
Does comma selection help to cope with local optima? GECCO 2020: 1304-1313 - [c149]Quentin Renau, Carola Doerr
, Johann Dréo, Benjamin Doerr:
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. PPSN (2) 2020: 139-153 - [c148]Denis Antipov, Benjamin Doerr:
Runtime Analysis of a Heavy-Tailed (1+(λ , λ )) Genetic Algorithm on Jump Functions. PPSN (2) 2020: 545-559 - [c147]Denis Antipov, Maxim Buzdalov
, Benjamin Doerr:
First Steps Towards a Runtime Analysis When Starting with a Good Solution. PPSN (2) 2020: 560-573 - [c146]Benjamin Doerr:
Lower Bounds for Non-elitist Evolutionary Algorithms via Negative Multiplicative Drift. PPSN (2) 2020: 604-618 - [c145]Benjamin Doerr:
Exponential Upper Bounds for the Runtime of Randomized Search Heuristics. PPSN (2) 2020: 619-633 - [p4]Benjamin Doerr:
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics. Theory of Evolutionary Computation 2020: 1-87 - [p3]Benjamin Doerr, Carola Doerr
:
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices. Theory of Evolutionary Computation 2020: 271-321 - [e2]Benjamin Doerr, Frank Neumann:
Theory of Evolutionary Computation - Recent Developments in Discrete Optimization. Natural Computing Series, Springer 2020, ISBN 978-3-030-29413-7 [contents] - [d1]Quentin Renau, Carola Doerr
, Johann Dréo
, Benjamin Doerr
:
Experimental Data Set for the study "Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy". Zenodo, 2020 - [i86]Benjamin Doerr:
Does Comma Selection Help To Cope With Local Optima. CoRR abs/2004.01274 (2020) - [i85]Benjamin Doerr, Martin S. Krejca:
A Simplified Run Time Analysis of the Univariate Marginal Distribution Algorithm on LeadingOnes. CoRR abs/2004.04978 (2020) - [i84]Benjamin Doerr:
Exponential Upper Bounds for the Runtime of Randomized Search Heuristics. CoRR abs/2004.05733 (2020) - [i83]Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
Fast Mutation in Crossover-based Algorithms. CoRR abs/2004.06538 (2020) - [i82]Denis Antipov, Benjamin Doerr, Vitalii Karavaev:
The (1 + (λ, λ)) GA Is Even Faster on Multimodal Problems. CoRR abs/2004.06702 (2020) - [i81]Benjamin Doerr, Weijie Zheng:
From Understanding Genetic Drift to a Smart-Restart Parameter-less Compact Genetic Algorithm. CoRR abs/2004.07141 (2020) - [i80]Maxim Buzdalov, Benjamin Doerr, Carola Doerr, Dmitry Vinokurov:
Fixed-Target Runtime Analysis. CoRR abs/2004.09613 (2020) - [i79]Benjamin Doerr:
Lower Bounds for Non-Elitist Evolutionary Algorithms Via Negative Multiplicative Drift. CoRR abs/2005.00853 (2020) - [i78]Denis Antipov, Benjamin Doerr:
Runtime Analysis of a Heavy-Tailed (1+(λ, λ)) Genetic Algorithm on Jump Functions. CoRR abs/2006.03523 (2020) - [i77]Benjamin Doerr:
Runtime Analysis of Evolutionary Algorithms via Symmetry Arguments. CoRR abs/2006.04663 (2020) - [i76]Quentin Renau, Carola Doerr, Johann Dréo, Benjamin Doerr:
Exploratory Landscape Analysis is Strongly Sensitive to the Sampling Strategy. CoRR abs/2006.11135 (2020) - [i75]Denis Antipov, Maxim Buzdalov, Benjamin Doerr:
First Steps Towards a Runtime Analysis When Starting With a Good Solution. CoRR abs/2006.12161 (2020) - [i74]Benjamin Doerr, Frank Neumann:
A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization. CoRR abs/2006.16709 (2020) - [i73]Benjamin Doerr, Martin S. Krejca:
The Univariate Marginal Distribution Algorithm Copes Well With Deception and Epistasis. CoRR abs/2007.08277 (2020) - [i72]Benjamin Doerr, Weijie Zheng:
Theoretical Analyses of Multi-Objective Evolutionary Algorithms on Multi-Modal Objectives. CoRR abs/2012.07231 (2020)
2010 – 2019
- 2019
- [j92]Benjamin Doerr, Christian Gießen, Carsten Witt
, Jing Yang:
The (1+λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate. Algorithmica 81(2): 593-631 (2019) - [j91]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
Solving Problems with Unknown Solution Length at Almost No Extra Cost. Algorithmica 81(2): 703-748 (2019) - [j90]Benjamin Doerr, Philipp Fischbeck
, Clemens Frahnow, Tobias Friedrich, Timo Kötzing, Martin Schirneck
:
Island Models Meet Rumor Spreading. Algorithmica 81(2): 886-915 (2019) - [j89]Peyman Afshani, Manindra Agrawal, Benjamin Doerr
, Carola Doerr
, Kasper Green Larsen, Kurt Mehlhorn:
The query complexity of a permutation-based variant of Mastermind. Discret. Appl. Math. 260: 28-50 (2019) - [j88]Benjamin Doerr
:
Analyzing randomized search heuristics via stochastic domination. Theor. Comput. Sci. 773: 115-137 (2019) - [c144]Benjamin Doerr:
An exponential lower bound for the runtime of the compact genetic algorithm on jump functions. FOGA 2019: 25-33 - [c143]Denis Antipov, Benjamin Doerr, Vitalii Karavaev:
A tight runtime analysis for the (1 + (λ, λ)) GA on leadingones. FOGA 2019: 169-182 - [c142]Benjamin Doerr, Carola Doerr
, Frank Neumann
:
Fast re-optimization via structural diversity. GECCO 2019: 233-241 - [c141]Benjamin Doerr, Andrew M. Sutton
:
When resampling to cope with noise, use median, not mean. GECCO 2019: 242-248 - [c140]Benjamin Doerr:
Theory for non-theoreticians: introductory tutorial. GECCO (Companion) 2019: 523-549 - [c139]Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto:
Evolving boolean functions with conjunctions and disjunctions via genetic programming. GECCO 2019: 1003-1011 - [c138]Denis Antipov, Benjamin Doerr, Quentin Yang:
The efficiency threshold for the offspring population size of the (µ, λ) EA. GECCO 2019: 1461-1469 - [c137]Benjamin Doerr, Timo Kötzing:
Multiplicative up-drift. GECCO 2019: 1470-1478 - [c136]Benjamin Doerr, Carola Doerr
, Johannes Lengler
:
Self-adjusting mutation rates with provably optimal success rules. GECCO 2019: 1479-1487 - [c135]Benjamin Doerr:
A tight runtime analysis for the cGA on jump functions: EDAs can cross fitness valleys at no extra cost. GECCO 2019: 1488-1496 - [c134]Vitalii Karavaev, Denis Antipov, Benjamin Doerr:
Theoretical and empirical study of the (1 + (λ, λ)) EA on the leadingones problem. GECCO (Companion) 2019: 2036-2039 - [c133]Quentin Renau, Johann Dréo, Carola Doerr
, Benjamin Doerr:
Expressiveness and robustness of landscape features. GECCO (Companion) 2019: 2048-2051 - [c132]Dmitry Vinokurov
, Maxim Buzdalov, Arina Buzdalova
, Benjamin Doerr, Carola Doerr
:
Fixed-target runtime analysis of the (1 + 1) EA with resampling. GECCO (Companion) 2019: 2068-2071 - [i71]Benjamin Doerr, Carola Doerr, Frank Neumann:
Fast Re-Optimization via Structural Diversity. CoRR abs/1902.00304 (2019) - [i70]Benjamin Doerr, Carola Doerr, Johannes Lengler:
Self-Adjusting Mutation Rates with Provably Optimal Success Rules. CoRR abs/1902.02588 (2019) - [i69]Benjamin Doerr:
A Tight Runtime Analysis for the cGA on Jump Functions - EDAs Can Cross Fitness Valleys at No Extra Cost. CoRR abs/1903.10983 (2019) - [i68]Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto:
Evolving Boolean Functions with Conjunctions and Disjunctions via Genetic Programming. CoRR abs/1903.11936 (2019) - [i67]Benjamin Doerr, Timo Kötzing:
Multiplicative Up-Drift. CoRR abs/1904.05682 (2019) - [i66]Denis Antipov, Benjamin Doerr, Quentin Yang:
The Efficiency Threshold for the Offspring Population Size of the (μ, λ) EA. CoRR abs/1904.06981 (2019) - [i65]Benjamin Doerr:
An Exponential Lower Bound for the Runtime of the cGA on Jump Functions. CoRR abs/1904.08415 (2019) - [i64]Benjamin Doerr:
The Runtime of the Compact Genetic Algorithm on Jump Functions. CoRR abs/1908.06527 (2019) - [i63]Benjamin Doerr, Weijie Zheng:
Sharp Bounds for Genetic Drift in EDAs. CoRR abs/1910.14389 (2019) - [i62]Benjamin Doerr, Carola Doerr, Aneta Neumann, Frank Neumann, Andrew M. Sutton:
Optimization of Chance-Constrained Submodular Functions. CoRR abs/1911.11451 (2019) - 2018
- [j87]Benjamin Doerr, Carola Doerr
:
Optimal Static and Self-Adjusting Parameter Choices for the (1+(λ, λ)) Genetic Algorithm. Algorithmica 80(5): 1658-1709 (2018) - [j86]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
Static and Self-Adjusting Mutation Strengths for Multi-valued Decision Variables. Algorithmica 80(5): 1732-1768 (2018) - [c131]Benjamin Doerr:
Better Runtime Guarantees via Stochastic Domination. EvoCOP 2018: 1-17 - [c130]Benjamin Doerr:
Better runtime guarantees via stochastic domination (hot-off-the-press track at GECCO 2018). GECCO (Companion) 2018: 13-14 - [c129]Benjamin Doerr:
Theory for non-theoreticians: tutorial. GECCO (Companion) 2018: 389-414 - [c128]Benjamin Doerr, Andrei Lissovoi, Pietro S. Oliveto, John Alasdair Warwicker:
On the runtime analysis of selection hyper-heuristics with adaptive learning periods. GECCO 2018: 1015-1022 - [c127]Weijie Zheng
, Guangwen Yang, Benjamin Doerr:
Working principles of binary differential evolution. GECCO 2018: 1103-1110 - [c126]Denis Antipov
, Benjamin Doerr, Jiefeng Fang, Tangi Hetet:
A tight runtime analysis for the (μ + λ) EA. GECCO 2018: 1459-1466 - [c125]Raphaël Dang-Nhu, Thibault Dardinier
, Benjamin Doerr, Gautier Izacard, Dorian Nogneng:
A new analysis method for evolutionary optimization of dynamic and noisy objective functions. GECCO 2018: 1467-1474 - [c124]Benjamin Doerr, Carsten Witt
, Jing Yang:
Runtime analysis for self-adaptive mutation rates. GECCO 2018: 1475-1482 - [c123]Benjamin Doerr, Martin S. Krejca:
Significance-based estimation-of-distribution algorithms. GECCO 2018: 1483-1490 - [c122]Denis Antipov
, Benjamin Doerr:
Precise Runtime Analysis for Plateaus. PPSN (2) 2018: 117-128 - [i61]Benjamin Doerr:
Better Runtime Guarantees Via Stochastic Domination. CoRR abs/1801.04487 (2018) - [i60]Benjamin Doerr:
Probabilistic Tools for the Analysis of Randomized Optimization Heuristics. CoRR abs/1801.06733 (2018) - [i59]Benjamin Doerr, Carola Doerr:
Theory of Parameter Control for Discrete Black-Box Optimization: Provable Performance Gains Through Dynamic Parameter Choices. CoRR abs/1804.05650 (2018) - [i58]Denis Antipov, Benjamin Doerr:
Precise Runtime Analysis for Plateaus. CoRR abs/1806.01331 (2018) - [i57]Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski, Johannes Lengler:
Bounding Bloat in Genetic Programming. CoRR abs/1806.02112 (2018) - [i56]Benjamin Doerr, Carola Doerr, Jing Yang:
Optimal Parameter Choices via Precise Black-Box Analysis. CoRR abs/1807.03403 (2018) - [i55]Benjamin Doerr, Martin S. Krejca:
Significance-based Estimation-of-Distribution Algorithms. CoRR abs/1807.03495 (2018) - [i54]Benjamin Doerr, Carsten Witt, Jing Yang:
Runtime Analysis for Self-adaptive Mutation Rates. CoRR abs/1811.12824 (2018) - [i53]Benjamin Doerr, Weijie Zheng:
Working Principles of Binary Differential Evolution. CoRR abs/1812.03513 (2018) - [i52]Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn:
The Query Complexity of a Permutation-Based Variant of Mastermind. CoRR abs/1812.08480 (2018) - [i51]Denis Antipov, Benjamin Doerr:
A Tight Runtime Analysis for the (μ+ λ) EA. CoRR abs/1812.11061 (2018) - 2017
- [j85]Benjamin Doerr, Frank Neumann
, Andrew M. Sutton
:
Time Complexity Analysis of Evolutionary Algorithms on Random Satisfiable k-CNF Formulas. Algorithmica 78(2): 561-586 (2017) - [j84]Benjamin Doerr, Paul Fischer
, Astrid Hilbert, Carsten Witt
:
Detecting structural breaks in time series via genetic algorithms. Soft Comput. 21(16): 4707-4720 (2017) - [c121]Maxim Buzdalov, Benjamin Doerr, Mikhail Kever:
The unrestricted black-box complexity of jump functions. GECCO (Companion) 2017: 1-2 - [c120]Benjamin Doerr:
Theory for non-theoreticians. GECCO (Companion) 2017: 389-412 - [c119]Benjamin Doerr, Huu Phuoc Le, Régis Makhmara, Ta Duy Nguyen:
Fast genetic algorithms. GECCO 2017: 777-784 - [c118]Benjamin Doerr, Timo Kötzing, J. A. Gregor Lagodzinski
, Johannes Lengler
:
Bounding bloat in genetic programming. GECCO 2017: 921-928 - [c117]Maxim Buzdalov, Benjamin Doerr:
Runtime analysis of the (1 + (λ, λ)) genetic algorithm on random satisfiable 3-CNF formulas. GECCO 2017: 1343-1350 - [c116]Benjamin Doerr, Christian Gießen, Carsten Witt
, Jing Yang:
The (1+λ) evolutionary algorithm with self-adjusting mutation rate. GECCO 2017: 1351-1358 - [c115]Benjamin Doerr, Philipp Fischbeck, Clemens Frahnow, Tobias Friedrich, Timo Kötzing, Martin Schirneck
:
Island models meet rumor spreading. GECCO 2017: 1359-1366 - [c114]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
Unknown solution length problems with no asymptotically optimal run time. GECCO 2017: 1367-1374 - [c113]Benjamin Doerr, Anatolii Kostrygin:
Randomized Rumor Spreading Revisited. ICALP 2017: 138:1-138:14 - [i50]Benjamin Doerr, Huu Phuoc Le, Régis Makhmara, Ta Duy Nguyen:
Fast Genetic Algorithms. CoRR abs/1703.03334 (2017) - [i49]Benjamin Doerr, Christian Gießen, Carsten Witt, Jing Yang:
The (1+λ) Evolutionary Algorithm with Self-Adjusting Mutation Rate. CoRR abs/1704.02191 (2017) - [i48]Maxim Buzdalov, Benjamin Doerr:
Runtime Analysis of the (1+(λ, λ)) Genetic Algorithm on Random Satisfiable 3-CNF Formulas. CoRR abs/1704.04366 (2017) - [i47]Benjamin Doerr:
An Elementary Analysis of the Probability That a Binomial Random Variable Exceeds Its Expectation. CoRR abs/1712.00519 (2017) - 2016
- [j83]Benjamin Doerr, Carsten Witt
:
Guest Editorial: Theory of Evolutionary Computation. Algorithmica 75(3): 425-427 (2016) - [j82]Benjamin Doerr, Carola Doerr
:
The Impact of Random Initialization on the Runtime of Randomized Search Heuristics. Algorithmica 75(3): 529-553 (2016) - [j81]Benjamin Doerr, Carola Doerr
, Shay Moran, Shlomo Moran:
Simple and optimal randomized fault-tolerant rumor spreading. Distributed Comput. 29(2): 89-104 (2016) - [j80]Maxim Buzdalov, Benjamin Doerr, Mikhail Kever:
The Unrestricted Black-Box Complexity of Jump Functions. Evol. Comput. 24(4): 719-744 (2016) - [j79]Benjamin Doerr, Carola Doerr
, Reto Spöhel, Henning Thomas:
Playing Mastermind With Many Colors. J. ACM 63(5): 42:1-42:23 (2016) - [c112]Benjamin Doerr, Carola Doerr
:
Theory for Non-Theoreticians. GECCO (Companion) 2016: 463-482 - [c111]Benjamin Doerr, Wanru Gao, Frank Neumann
:
Runtime Analysis of Evolutionary Diversity Maximization for OneMinMax. GECCO 2016: 557-564 - [c110]Benjamin Doerr:
Optimal Parameter Settings for the (1 + λ, λ) Genetic Algorithm. GECCO 2016: 1107-1114 - [c109]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
The Right Mutation Strength for Multi-Valued Decision Variables. GECCO 2016: 1115-1122 - [c108]Benjamin Doerr, Carola Doerr
, Jing Yang:
Optimal Parameter Choices via Precise Black-Box Analysis. GECCO 2016: 1123-1130 - [c107]Benjamin Doerr, Marvin Künnemann:
Improved Protocols and Hardness Results for the Two-Player Cryptogenography Problem. ICALP 2016: 150:1-150:13 - [c106]Benjamin Doerr, Carola Doerr, Timo Kötzing:
Provably Optimal Self-adjusting Step Sizes for Multi-valued Decision Variables. PPSN 2016: 782-791 - [c105]Benjamin Doerr, Carola Doerr, Jing Yang:
k-Bit Mutation with Self-Adjusting k Outperforms Standard Bit Mutation. PPSN 2016: 824-834 - [c104]Carola Doerr
, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein
, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis
, Carlos M. Fonseca
, Andreia P. Guerreiro
, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós
, Julian Francis Miller, Boris Naujoks
, Pietro S. Oliveto
, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork
, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - [p2]Benjamin Doerr, Magnus Wahlström:
How to Generate Randomized Roundings with Dependencies and How to Derandomize Them. Algorithm Engineering 2016: 159-184 - [i46]Benjamin Doerr, Marvin Künnemann:
Improved Protocols and Hardness Results for the Two-Player Cryptogenography Problem. CoRR abs/1603.06113 (2016) - [i45]Benjamin Doerr:
Optimal Parameter Settings for the $(1+(λ, λ))$ Genetic Algorithm. CoRR abs/1604.01088 (2016) - [i44]Benjamin Doerr, Carola Doerr, Timo Kötzing:
The Right Mutation Strength for Multi-Valued Decision Variables. CoRR abs/1604.03277 (2016) - 2015
- [j78]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
Unbiased Black-Box Complexities of Jump Functions. Evol. Comput. 23(4): 641-670 (2015) - [j77]Karl Bringmann, Benjamin Doerr, Adrian Neumann, Jakub Sliacan:
Online Checkpointing with Improved Worst-Case Guarantees. INFORMS J. Comput. 27(3): 478-490 (2015) - [j76]Benjamin Doerr, Marvin Künnemann:
Optimizing linear functions with the (1+λ) evolutionary algorithm - Different asymptotic runtimes for different instances. Theor. Comput. Sci. 561: 3-23 (2015) - [j75]Benjamin Doerr, Carola Doerr
, Franziska Ebel
:
From black-box complexity to designing new genetic algorithms. Theor. Comput. Sci. 567: 87-104 (2015) - [c103]Denis Antipov
, Maxim Buzdalov
, Benjamin Doerr:
Runtime Analysis of (1+1) Evolutionary Algorithm Controlled with Q-learning Using Greedy Exploration Strategy on OneMax+ZeroMax Problem. EvoCOP 2015: 160-172 - [c102]Maxim Buzdalov
, Mikhail Kever, Benjamin Doerr:
Upper and Lower Bounds on Unrestricted Black-Box Complexity of Jump _n, ℓ. EvoCOP 2015: 209-221 - [c101]Axel de Perthuis de Laillevault, Benjamin Doerr, Carola Doerr
:
Money for Nothing: Speeding Up Evolutionary Algorithms Through Better Initialization. GECCO 2015: 815-822 - [c100]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
Solving Problems with Unknown Solution Length at (Almost) No Extra Cost. GECCO 2015: 831-838 - [c99]Benjamin Doerr, Carola Doerr
:
Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings. GECCO 2015: 1335-1342 - [c98]Benjamin Doerr, Frank Neumann
, Andrew M. Sutton
:
Improved Runtime Bounds for the (1+1) EA on Random 3-CNF Formulas Based on Fitness-Distance Correlation. GECCO 2015: 1415-1422 - [c97]Benjamin Doerr, Carola Doerr
:
A Tight Runtime Analysis of the (1+(λ, λ)) Genetic Algorithm on OneMax. GECCO 2015: 1423-1430 - [i43]Benjamin Doerr, Carola Doerr:
Optimal Parameter Choices Through Self-Adjustment: Applying the 1/5-th Rule in Discrete Settings. CoRR abs/1504.03212 (2015) - [i42]Laurent Hoeltgen, Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Simon Setzer, Daniel Johannsen, Frank Neumann, Benjamin Doerr:
Optimising Spatial and Tonal Data for PDE-based Inpainting. CoRR abs/1506.04566 (2015) - [i41]Benjamin Doerr, Carola Doerr, Timo Kötzing:
Solving Problems with Unknown Solution Length at (Almost) No Extra Cost. CoRR abs/1506.05913 (2015) - [i40]Benjamin Doerr, Carola Doerr:
A Tight Runtime Analysis of the $(1+(λ, λ))$ Genetic Algorithm on OneMax. CoRR abs/1506.05937 (2015) - [i39]Benjamin Doerr, Nikolaus Hansen, Christian Igel, Lothar Thiele:
Theory of Evolutionary Algorithms (Dagstuhl Seminar 15211). Dagstuhl Reports 5(5): 57-91 (2015) - 2014
- [j74]Benjamin Doerr
, Carola Doerr
, Timo Kötzing:
The unbiased black-box complexity of partition is polynomial. Artif. Intell. 216: 275-286 (2014) - [j73]Benjamin Doerr, Carola Winzen
:
Ranking-Based Black-Box Complexity. Algorithmica 68(3): 571-609 (2014) - [j72]Benjamin Doerr:
A lower bound for the discrepancy of a random point set. J. Complex. 30(1): 16-20 (2014) - [j71]Benjamin Doerr, Magnus Wahlström
:
Randomized Rounding in the Presence of a Cardinality Constraint. ACM J. Exp. Algorithmics 19(1) (2014) - [j70]Benjamin Doerr, Carola Winzen
:
Playing Mastermind with Constant-Size Memory. Theory Comput. Syst. 55(4): 658-684 (2014) - [j69]Benjamin Doerr, Tobias Friedrich, Thomas Sauerwald:
Quasirandom Rumor Spreading. ACM Trans. Algorithms 11(2): 9:1-9:35 (2014) - [j68]Benjamin Doerr, Carola Winzen
:
Reducing the arity in unbiased black-box complexity. Theor. Comput. Sci. 545: 108-121 (2014) - [j67]Frank Neumann
, Benjamin Doerr, Per Kristian Lehre, Pauline C. Haddow:
Editorial for the Special Issue on Theoretical Foundations of Evolutionary Computation. IEEE Trans. Evol. Comput. 18(5): 625-627 (2014) - [j66]Xujin Chen, Benjamin Doerr, Carola Doerr
, Xiaodong Hu, Weidong Ma, Rob van Stee:
The Price of Anarchy for Selfish Ring Routing is Two. ACM Trans. Economics and Comput. 2(2): 8:1-8:24 (2014) - [c96]Benjamin Doerr, Marvin Künnemann:
Tight Analysis of Randomized Rumor Spreading in Complete Graphs. ANALCO 2014: 82-91 - [c95]Benjamin Doerr, Carola Doerr
:
Black-box complexity: from complexity theory to playing mastermind. GECCO (Companion) 2014: 623-646 - [c94]Sylvain Colin, Benjamin Doerr, Gaspard Férey:
Monotonic functions in EC: anything but monotone! GECCO 2014: 753-760 - [c93]Benjamin Doerr, Carola Doerr
, Timo Kötzing:
Unbiased black-box complexities of jump functions: how to cross large plateaus. GECCO 2014: 769-776 - [c92]Benjamin Doerr, Carola Doerr
:
The impact of random initialization on the runtime of randomized search heuristics. GECCO 2014: 1375-1382 - [i38]Benjamin Doerr, Carola Doerr, Timo Kötzing:
Unbiased Black-Box Complexities of Jump Functions - How to Cross Large Plateaus. CoRR abs/1403.7806 (2014) - 2013
- [j65]Benjamin Doerr, Leslie Ann Goldberg:
Adaptive Drift Analysis. Algorithmica 65(1): 224-250 (2013) - [j64]Benjamin Doerr, Anna Huber, Ariel Levavi:
Strong robustness of randomized rumor spreading protocols. Discret. Appl. Math. 161(6): 778-793 (2013) - [j63]Benjamin Doerr, Thomas Jansen
, Dirk Sudholt, Carola Winzen
, Christine Zarges
:
Mutation Rate Matters Even When Optimizing Monotonic Functions. Evol. Comput. 21(1): 1-27 (2013) - [j62]Benjamin Doerr:
Improved approximation algorithms for the Min-Max Selecting Items problem. Inf. Process. Lett. 113(19-21): 747-749 (2013) - [j61]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Frank Neumann
, Madeleine Theile:
More effective crossover operators for the all-pairs shortest path problem. Theor. Comput. Sci. 471: 12-26 (2013) - [j60]Benjamin Doerr, Timo Kötzing, Johannes Lengler
, Carola Winzen
:
Black-box complexities of combinatorial problems. Theor. Comput. Sci. 471: 84-106 (2013) - [c91]Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Doerr, Kasper Green Larsen, Kurt Mehlhorn:
The Query Complexity of Finding a Hidden Permutation. Space-Efficient Data Structures, Streams, and Algorithms 2013: 1-11 - [c90]Benjamin Doerr, Marvin Künnemann:
Royal road functions and the (1 + λ) evolutionary algorithm: Almost no speed-up from larger offspring populations. IEEE Congress on Evolutionary Computation 2013: 424-431 - [c89]Benjamin Doerr, Bojana Kodric
, Marco Voigt
:
Lower bounds for the runtime of a global multi-objective evolutionary algorithm. IEEE Congress on Evolutionary Computation 2013: 432-439 - [c88]Benjamin Doerr, Dirk Sudholt, Carsten Witt
:
When do evolutionary algorithms optimize separable functions in parallel? FOGA 2013: 51-64 - [c87]Benjamin Doerr, Paul Fischer
, Astrid Hilbert, Carsten Witt
:
Evolutionary algorithms for the detection of structural breaks in time series: extended abstract. GECCO (Companion) 2013: 119-120 - [c86]Benjamin Doerr, Carola Doerr
:
Black-box complexity: from complexity theory to playing mastermind. GECCO (Companion) 2013: 617-640 - [c85]Benjamin Doerr, Carola Doerr
, Franziska Ebel
:
Lessons from the black-box: fast crossover-based genetic algorithms. GECCO 2013: 781-788 - [c84]Benjamin Doerr, Thomas Jansen
, Carsten Witt
, Christine Zarges
:
A method to derive fixed budget results from expected optimisation times. GECCO 2013: 1581-1588 - [c83]Benjamin Doerr, Marvin Künnemann:
How the (1+λ) evolutionary algorithm optimizes linear functions. GECCO 2013: 1589-1596 - [c82]Karl Bringmann, Benjamin Doerr, Adrian Neumann, Jakub Sliacan:
Online Checkpointing with Improved Worst-Case Guarantees. ICALP (1) 2013: 255-266 - [c81]Benjamin Doerr, Reto Spöhel, Henning Thomas, Carola Winzen
:
Playing Mastermind with Many Colors. SODA 2013: 695-704 - [i37]Karl Bringmann, Benjamin Doerr, Adrian Neumann, Jakub Sliacan:
Online checkpointing with improved worst-case guarantees. CTW 2013: 23-26 - [i36]Benjamin Doerr, Anton V. Eremeev, Frank Neumann, Madeleine Theile, Christian Thyssen:
Evolutionary Algorithms and Dynamic Programming. CoRR abs/1301.4096 (2013) - [i35]Karl Bringmann, Benjamin Doerr, Adrian Neumann, Jakub Sliacan:
Online Checkpointing with Improved Worst-Case Guarantees. CoRR abs/1302.4216 (2013) - [i34]Benjamin Doerr:
Winkler's Hat Guessing Game: Better Results for Imbalanced Hat Distributions. CoRR abs/1303.7205 (2013) - [i33]Benjamin Doerr:
Improved Approximation Algorithms for the Min-Max Selecting Items Problem. CoRR abs/1304.7403 (2013) - [i32]Benjamin Doerr, Carola Doerr:
Collecting Coupons with Random Initial Stake. CoRR abs/1308.6384 (2013) - [i31]Benjamin Doerr, Robert Elsässer, Pierre Fraigniaud:
Epidemic Algorithms and Processes: From Theory to Applications (Dagstuhl Seminar 13042). Dagstuhl Reports 3(1): 94-110 (2013) - [i30]Benjamin Doerr, Nikolaus Hansen, Jonathan L. Shapiro, L. Darrell Whitley:
Theory of Evolutionary Algorithms (Dagstuhl Seminar 13271). Dagstuhl Reports 3(7): 1-28 (2013) - 2012
- [j59]Benjamin Doerr, Daniel Johannsen, Carola Winzen
:
Multiplicative Drift Analysis. Algorithmica 64(4): 673-697 (2012) - [j58]Benjamin Doerr, Mahmoud Fouz, Tobias Friedrich:
Why rumors spread so quickly in social networks. Commun. ACM 55(6): 70-75 (2012) - [j57]Benjamin Doerr, Carola Winzen
:
Memory-restricted black-box complexity of OneMax. Inf. Process. Lett. 112(1-2): 32-34 (2012) - [j56]Benjamin Doerr, Edda Happ, Christian Klein:
Crossover can provably be useful in evolutionary computation. Theor. Comput. Sci. 425: 17-33 (2012) - [j55]Benjamin Doerr, Daniel Johannsen, Carola Winzen
:
Non-existence of linear universal drift functions. Theor. Comput. Sci. 436: 71-86 (2012) - [c80]Benjamin Doerr, Reto Spöhel, Henning Thomas, Carola Winzen:
Playing Mastermind with Many Colors. CTW 2012: 108-111 - [c79]Benjamin Doerr, Ashish Ranjan Hota
, Timo Kötzing:
Ants easily solve stochastic shortest path problems. GECCO 2012: 17-24 - [c78]Benjamin Doerr:
Black-box complexity: from complexity theory to playing mastermind. GECCO (Companion) 2012: 1079-1092 - [c77]Benjamin Doerr, Carola Winzen
:
Reducing the arity in unbiased black-box complexity. GECCO 2012: 1309-1316 - [c76]Benjamin Doerr, Sebastian Pohl:
Run-time analysis of the (1+1) evolutionary algorithm optimizing linear functions over a finite alphabet. GECCO 2012: 1317-1324 - [c75]Benjamin Doerr, Mahmoud Fouz, Tobias Friedrich:
Experimental Analysis of Rumor Spreading in Social Networks. MedAlg 2012: 159-173 - [c74]Benjamin Doerr, Carola Winzen
:
Playing Mastermind With Constant-Size Memory. STACS 2012: 441-452 - [c73]Benjamin Doerr, Mahmoud Fouz, Tobias Friedrich:
Asynchronous Rumor Spreading in Preferential Attachment Graphs. SWAT 2012: 307-315 - [c72]Xujin Chen, Benjamin Doerr, Xiaodong Hu, Weidong Ma, Rob van Stee, Carola Winzen:
The Price of Anarchy for Selfish Ring Routing Is Two. WINE 2012: 420-433 - [i29]Benjamin Doerr, Carola Winzen:
Reducing the Arity in Unbiased Black-Box Complexity. CoRR abs/1203.4111 (2012) - [i28]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Frank Neumann, Madeleine Theile:
More Effective Crossover Operators for the All-Pairs Shortest Path Problem. CoRR abs/1207.0369 (2012) - [i27]Benjamin Doerr, Reto Spöhel, Henning Thomas, Carola Winzen:
Playing Mastermind with Many Colors. CoRR abs/1207.0773 (2012) - [i26]Benjamin Doerr, Shay Moran, Shlomo Moran, Carola Winzen:
Fast Fault Tolerant Rumor Spreading with Minimum Message Complexity. CoRR abs/1209.6158 (2012) - [i25]Xujin Chen, Benjamin Doerr, Xiaodong Hu, Weidong Ma, Rob van Stee, Carola Winzen:
The Price of Anarchy for Selfish Ring Routing is Two. CoRR abs/1210.0230 (2012) - [i24]Benjamin Doerr:
A Lower Bound for the Discrepancy of a Random Point Set. CoRR abs/1210.0572 (2012) - [i23]Benjamin Doerr, Carola Winzen:
Black-Box Complexity: Breaking the $O(n \log n)$ Barrier of LeadingOnes. CoRR abs/1210.6465 (2012) - [i22]Peyman Afshani, Manindra Agrawal, Benjamin Doerr, Carola Winzen, Kasper Green Larsen, Kurt Mehlhorn:
The Deterministic and Randomized Query Complexity of a Simple Guessing Game. Electron. Colloquium Comput. Complex. TR12 (2012) - 2011
- [j54]Benjamin Doerr, Thomas Jansen
:
Theory of Evolutionary Computation. Algorithmica 59(3): 299-300 (2011) - [j53]Benjamin Doerr, Edda Happ, Christian Klein:
Tight Analysis of the (1+1)-EA for the Single Source Shortest Path Problem. Evol. Comput. 19(4): 673-691 (2011) - [j52]Benjamin Doerr, Mahmoud Fouz:
Asymptotically Optimal Randomized Rumor Spreading. Electron. Notes Discret. Math. 38: 297-302 (2011) - [j51]Benjamin Doerr, Mahmoud Fouz, Tobias Friedrich:
Social Networks Spread Rumors in Sublogarithmic Time. Electron. Notes Discret. Math. 38: 303-308 (2011) - [j50]Benjamin Doerr, Mahmoud Fouz:
Quasi-random rumor spreading: Reducing randomness can be costly. Inf. Process. Lett. 111(5): 227-230 (2011) - [j49]Benjamin Doerr, Tobias Friedrich, Marvin Künnemann, Thomas Sauerwald:
Quasirandom rumor spreading: An experimental analysis. ACM J. Exp. Algorithmics 16 (2011) - [j48]Benjamin Doerr, Frank Neumann
, Dirk Sudholt, Carsten Witt
:
Runtime analysis of the 1-ANT ant colony optimizer. Theor. Comput. Sci. 412(17): 1629-1644 (2011) - [j47]Benjamin Doerr, Anton V. Eremeev
, Frank Neumann
, Madeleine Theile, Christian Thyssen:
Evolutionary algorithms and dynamic programming. Theor. Comput. Sci. 412(43): 6020-6035 (2011) - [c71]Benjamin Doerr, Carola Winzen:
Black-Box Complexity: Breaking the O(n logn) Barrier of LeadingOnes. Artificial Evolution 2011: 205-216 - [c70]Benjamin Doerr, Marvin Künnemann, Magnus Wahlström
:
Dependent Randomized Rounding: The Bipartite Case. ALENEX 2011: 96-106 - [c69]Tetsuo Asano, Benjamin Doerr:
Memory-Constrained Algorithms for Shortest Path Problem. CCCG 2011 - [c68]Benjamin Doerr, Carola Winzen:
Towards a Complexity Theory of Randomized Search Heuristics: Ranking-Based Black-Box Complexity. CSR 2011: 15-28 - [c67]Benjamin Doerr, Daniel Johannsen, Martin Schmidt:
Runtime analysis of the (1+1) evolutionary algorithm on strings over finite alphabets. FOGA 2011: 119-126 - [c66]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre
, Markus Wagner
, Carola Winzen
:
Faster black-box algorithms through higher arity operators. FOGA 2011: 163-172 - [c65]Benjamin Doerr, Johannes Lengler
, Timo Kötzing, Carola Winzen
:
Black-box complexities of combinatorial problems. GECCO 2011: 981-988 - [c64]Benjamin Doerr:
Drift analysis. GECCO (Companion) 2011: 1311-1320 - [c63]Benjamin Doerr, Timo Kötzing, Carola Winzen
:
Too fast unbiased black-box algorithms. GECCO 2011: 2043-2050 - [c62]Benjamin Doerr, Mahmoud Fouz, Carsten Witt
:
Sharp bounds by probability-generating functions and variable drift. GECCO 2011: 2083-2090 - [c61]Benjamin Doerr, Mahmoud Fouz:
Asymptotically Optimal Randomized Rumor Spreading. ICALP (2) 2011: 502-513 - [c60]Markus Mainberger, Sebastian Hoffmann, Joachim Weickert, Ching Hoo Tang, Daniel Johannsen, Frank Neumann
, Benjamin Doerr:
Optimising Spatial and Tonal Data for Homogeneous Diffusion Inpainting. SSVM 2011: 26-37 - [c59]Benjamin Doerr, Leslie Ann Goldberg, Lorenz Minder, Thomas Sauerwald, Christian Scheideler:
Stabilizing consensus with the power of two choices. SPAA 2011: 149-158 - [c58]Benjamin Doerr, Mahmoud Fouz, Tobias Friedrich:
Social networks spread rumors in sublogarithmic time. STOC 2011: 21-30 - [p1]Benjamin Doerr:
Analyzing Randomized Search Heuristics: Tools from Probability Theory. Theory of Randomized Search Heuristics 2011: 1-20 - [e1]Anne Auger, Benjamin Doerr:
Theory of Randomized Search Heuristics: Foundations and Recent Developments. Series on Theoretical Computer Science 1, World Scientific 2011, ISBN 978-981-4282-66-6 [contents] - [i21]Benjamin Doerr, Daniel Johannsen, Carola Winzen:
Multiplicative Drift Analysis. CoRR abs/1101.0776 (2011) - [i20]Benjamin Doerr, Carola Winzen:
Towards a Complexity Theory of Randomized Search Heuristics: Ranking-Based Black-Box Complexity. CoRR abs/1102.1140 (2011) - [i19]Benjamin Doerr, Leslie Ann Goldberg:
Adaptive Drift Analysis. CoRR abs/1108.0295 (2011) - [i18]Benjamin Doerr, Timo Kötzing, Johannes Lengler, Carola Winzen:
Black-Box Complexities of Combinatorial Problems. CoRR abs/1108.0342 (2011) - [i17]Benjamin Doerr, Carola Winzen:
Playing Mastermind With Constant-Size Memory. CoRR abs/1110.3619 (2011) - [i16]Benjamin Doerr, Carola Winzen
:
Memory-Restricted Black-Box Complexity. Electron. Colloquium Comput. Complex. TR11 (2011) - 2010
- [j46]Benjamin Doerr, Frank Neumann
, Ingo Wegener:
Editorial. Algorithmica 57(1): 119-120 (2010) - [j45]Benjamin Doerr, Frank Neumann
:
In Memoriam: Ingo Wegener. Algorithmica 58(3): 541-542 (2010) - [j44]Benjamin Doerr, Michael Gnewuch, Magnus Wahlström
:
Algorithmic construction of low-discrepancy point sets via dependent randomized rounding. J. Complex. 26(5): 490-507 (2010) - [j43]Joshua N. Cooper
, Benjamin Doerr, Tobias Friedrich, Joel Spencer:
Deterministic random walks on regular trees. Random Struct. Algorithms 37(3): 353-366 (2010) - [j42]Benjamin Doerr, Mahmoud Fouz:
Hereditary Discrepancies in Different Numbers of Colors II. SIAM J. Discret. Math. 24(3): 1205-1213 (2010) - [c57]Benjamin Doerr, Daniel Johannsen, Carola Winzen
:
Drift analysis and linear functions revisited. IEEE Congress on Evolutionary Computation 2010: 1-8 - [c56]Benjamin Doerr, Daniel Johannsen:
Edge-based representation beats vertex-based representation in shortest path problems. GECCO 2010: 759-766 - [c55]Benjamin Doerr, Daniel Johannsen, Carola Winzen
:
Multiplicative drift analysis. GECCO 2010: 1449-1456 - [c54]Benjamin Doerr, Mahmoud Fouz, Carsten Witt
:
Quasirandom evolutionary algorithms. GECCO 2010: 1457-1464 - [c53]Süntje Böttcher, Benjamin Doerr, Frank Neumann
:
Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes Problem. PPSN (1) 2010: 1-10 - [c52]Benjamin Doerr, Leslie Ann Goldberg:
Adaptive Drift Analysis. PPSN (1) 2010: 32-41 - [c51]Benjamin Doerr, Thomas Jansen
, Dirk Sudholt, Carola Winzen, Christine Zarges
:
Optimizing Monotone Functions Can Be Difficult. PPSN (1) 2010: 42-51 - [c50]Benjamin Doerr, Leslie Ann Goldberg:
Drift Analysis with Tail Bounds. PPSN (1) 2010: 174-183 - [c49]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Frank Neumann
, Madeleine Theile:
More Effective Crossover Operators for the All-Pairs Shortest Path Problem. PPSN (1) 2010: 184-193 - [c48]Benjamin Doerr, Leslie Ann Goldberg, Lorenz Minder, Thomas Sauerwald, Christian Scheideler:
Brief Announcement: Stabilizing Consensus with the Power of Two Choices. DISC 2010: 528-530 - [c47]Benjamin Doerr, Marvin Künnemann, Magnus Wahlström:
Randomized Rounding for Routing and Covering Problems: Experiments and Improvements. SEA 2010: 190-201 - [i15]Benjamin Doerr, Anna Huber, Ariel Levavi:
Strong Robustness of Randomized Rumor Spreading Protocols. CoRR abs/1001.3056 (2010) - [i14]Joshua N. Cooper, Benjamin Doerr, Tobias Friedrich, Joel Spencer:
Deterministic Random Walks on Regular Trees. CoRR abs/1006.1441 (2010) - [i13]Benjamin Doerr, Marvin Künnemann, Magnus Wahlström:
Randomized Rounding for Routing and Covering Problems: Experiments and Improvements. CoRR abs/1007.0372 (2010) - [i12]Benjamin Doerr, Mahmoud Fouz:
Quasi-Random Rumor Spreading: Reducing Randomness Can Be Costly. CoRR abs/1008.0501 (2010) - [i11]Benjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges:
Optimizing Monotone Functions Can Be Difficult. CoRR abs/1010.1429 (2010) - [i10]Benjamin Doerr, Mahmoud Fouz:
Asymptotically Optimal Randomized Rumor Spreading. CoRR abs/1011.1868 (2010) - [i9]Benjamin Doerr, Daniel Johannsen, Carola Winzen:
Non-Existence of Linear Universal Drift Functions. CoRR abs/1011.3466 (2010) - [i8]Benjamin Doerr, Daniel Johannsen, Timo Kötzing, Per Kristian Lehre, Markus Wagner, Carola Winzen:
Faster Black-Box Algorithms Through Higher Arity Operators. CoRR abs/1012.0952 (2010) - [i7]Benjamin Doerr, Tobias Friedrich, Thomas Sauerwald:
Quasirandom Rumor Spreading. CoRR abs/1012.5351 (2010) - [i6]Benjamin Doerr, Tobias Friedrich, Marvin Künnemann, Thomas Sauerwald:
Quasirandom Rumor Spreading: An Experimental Analysis. CoRR abs/1012.5357 (2010)
2000 – 2009
- 2009
- [j41]Spyros Angelopoulos, Benjamin Doerr, Anna Huber, Konstantinos Panagiotou:
Tight Bounds for Quasirandom Rumor Spreading. Electron. J. Comb. 16(1) (2009) - [j40]Benjamin Doerr, Tobias Friedrich:
Deterministic Random Walks on the Two-Dimensional Grid. Comb. Probab. Comput. 18(1-2): 123-144 (2009) - [j39]Benjamin Doerr, Tobias Friedrich
, Thomas Sauerwald:
Quasirandom Rumor Spreading on Expanders. Electron. Notes Discret. Math. 34: 243-247 (2009) - [j38]Benjamin Doerr, Mahmoud Fouz:
A Time-Randomness Tradeoff for Quasi-Random Rumour Spreading. Electron. Notes Discret. Math. 34: 335-339 (2009) - [c46]Benjamin Doerr, Tobias Friedrich, Marvin Künnemann, Thomas Sauerwald:
Quasirandom Rumor Spreading: An Experimental Analysis. ALENEX 2009: 145-153 - [c45]Benjamin Doerr, Magnus Wahlström
:
Randomized Rounding in the Presence of a Cardinality Constraint. ALENEX 2009: 162-174 - [c44]Benjamin Doerr:
Introducing Quasirandomness to Computer Science. Efficient Algorithms 2009: 99-111 - [c43]Surender Baswana, Somenath Biswas, Benjamin Doerr, Tobias Friedrich, Piyush P. Kurur, Frank Neumann
:
Computing single source shortest paths using single-objective fitness. FOGA 2009: 59-66 - [c42]Benjamin Doerr, Madeleine Theile:
Improved analysis methods for crossover-based algorithms. GECCO 2009: 247-254 - [c41]Benjamin Doerr, Anton V. Eremeev
, Christian Horoba, Frank Neumann
, Madeleine Theile:
Evolutionary algorithms and dynamic programming. GECCO 2009: 771-778 - [c40]Benjamin Doerr, Mahmoud Fouz, Martin Schmidt, Magnus Wahlström
:
BBOB: Nelder-Mead with resize and halfruns. GECCO (Companion) 2009: 2239-2246 - [c39]Benjamin Doerr, Tobias Friedrich, Thomas Sauerwald:
Quasirandom Rumor Spreading: Expanders, Push vs. Pull, and Robustness. ICALP (1) 2009: 366-377 - [c38]Benjamin Doerr, Anna Huber, Ariel Levavi:
Strong Robustness of Randomized Rumor Spreading Protocols. ISAAC 2009: 812-821 - [i5]Benjamin Doerr, Leslie Ann Goldberg, Lorenz Minder, Thomas Sauerwald, Christian Scheideler:
Stabilizing Consensus with the Power of Two Choices. Algorithmic Methods for Distributed Cooperative Systems 2009 - 2008
- [j37]Benjamin Doerr, Michael Gnewuch, Peter Kritzer
, Friedrich Pillichshammer
:
Component-by-component construction of low-discrepancy point sets of small size. Monte Carlo Methods Appl. 14(2): 129-149 (2008) - [c37]Benjamin Doerr, Edda Happ:
Directed trees: A powerful representation for sorting and ordering problems. IEEE Congress on Evolutionary Computation 2008: 3606-3613 - [c36]Benjamin Doerr, Edda Happ, Christian Klein:
Crossover can provably be useful in evolutionary computation. GECCO 2008: 539-546 - [c35]Benjamin Doerr, Thomas Jansen, Christian Klein:
Comparing global and local mutations on bit strings. GECCO 2008: 929-936 - [c34]Benjamin Doerr, Daniel Johannsen, Ching Hoo Tang:
How Single Ant ACO Systems Optimize Pseudo-Boolean Functions. PPSN 2008: 378-388 - [c33]Joshua N. Cooper, Benjamin Doerr, Tobias Friedrich, Joel Spencer:
Deterministic random walks on regular trees. SODA 2008: 766-772 - [c32]Benjamin Doerr, Tobias Friedrich, Thomas Sauerwald:
Quasirandom rumor spreading. SODA 2008: 773-781 - 2007
- [j36]Benjamin Doerr, Nils Hebbinghaus, Frank Neumann
:
Speeding Up Evolutionary Algorithms through Asymmetric Mutation Operators. Evol. Comput. 15(4): 401-410 (2007) - [j35]Benjamin Doerr:
Matrix approximation and Tusnády's problem. Eur. J. Comb. 28(3): 990-995 (2007) - [j34]Joshua N. Cooper
, Benjamin Doerr, Joel H. Spencer, Gábor Tardos
:
Deterministic random walks on the integers. Eur. J. Comb. 28(8): 2072-2090 (2007) - [j33]Tobias Friedrich
, Benjamin Doerr, Christian Klein, Ralf Osbild:
Unbiased Matrix Rounding. Electron. Notes Discret. Math. 28: 41-46 (2007) - [j32]Benjamin Doerr, Johannes Lengler
, David Steurer
:
The Interval Liar Game. Electron. Notes Discret. Math. 28: 425-432 (2007) - [j31]Benjamin Doerr:
Partial Colorings of Unimodular Hypergraphs. Electron. Notes Discret. Math. 29: 359-363 (2007) - [j30]Joshua N. Cooper
, Benjamin Doerr, Tobias Friedrich, Joel Spencer:
Deterministic Random Walks on Regular Trees. Electron. Notes Discret. Math. 29: 509-513 (2007) - [j29]Nitin Ahuja, Andreas Baltz, Benjamin Doerr, Ales Prívetivý, Anand Srivastav:
On the minimum load coloring problem. J. Discrete Algorithms 5(3): 533-545 (2007) - [j28]Benjamin Doerr:
Roundings Respecting Hard Constraints. Theory Comput. Syst. 40(4): 467-483 (2007) - [c31]Benjamin Doerr, Daniel Johannsen:
Refined runtime analysis of a basic ant colony optimization algorithm. IEEE Congress on Evolutionary Computation 2007: 501-507 - [c30]Benjamin Doerr, Edda Happ, Christian Klein:
A tight analysis of the (1 + 1)-EA for the single source shortest path problem. IEEE Congress on Evolutionary Computation 2007: 1890-1895 - [c29]Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus, Frank Neumann
:
A rigorous view on neutrality. IEEE Congress on Evolutionary Computation 2007: 2591-2597 - [c28]Benjamin Doerr, Christian Klein, Tobias Storch
:
Faster Evolutionary Algorithms by Superior Graph Representation. FOCI 2007: 245-250 - [c27]Benjamin Doerr, Frank Neumann
, Dirk Sudholt, Carsten Witt
:
On the runtime analysis of the 1-ANT ACO algorithm. GECCO 2007: 33-40 - [c26]Benjamin Doerr, Daniel Johannsen:
Adjacency list matchings: an ideal genotype for cycle covers. GECCO 2007: 1203-1210 - [c25]Benjamin Doerr:
Randomly Rounding Rationals with Cardinality Constraints and Derandomizations. STACS 2007: 441-452 - 2006
- [j27]Benjamin Doerr, Michael Gnewuch, Nils Hebbinghaus:
Discrepancy of Symmetric Products of Hypergraphs. Electron. J. Comb. 13(1) (2006) - [j26]Benjamin Doerr:
Non-independent randomized rounding and coloring. Discret. Appl. Math. 154(4): 650-659 (2006) - [j25]Benjamin Doerr, Christian Klein:
Controlled Randomized Rounding. Electron. Notes Discret. Math. 25: 39-40 (2006) - [j24]Benjamin Doerr, Tobias Friedrich
:
Quasirandomness in Graphs. Electron. Notes Discret. Math. 25: 61-64 (2006) - [j23]Sachio Teramoto, Tetsuo Asano, Naoki Katoh, Benjamin Doerr:
Inserting Points Uniformly at Every Instance. IEICE Trans. Inf. Syst. 89-D(8): 2348-2356 (2006) - [j22]Benjamin Doerr, Ulf Lorenz:
Error Propagation in Game Trees. Math. Methods Oper. Res. 64(1): 79-93 (2006) - [j21]Benjamin Doerr:
Matrix rounding with respect to small submatrices. Random Struct. Algorithms 28(1): 107-112 (2006) - [j20]Benjamin Doerr, Nils Hebbinghaus, Sören Werth:
Improved bounds and schemes for the declustering problem. Theor. Comput. Sci. 359(1-3): 123-132 (2006) - [c24]Joshua N. Cooper, Benjamin Doerr, Joel Spencer, Gábor Tardos:
Deterministic Random Walks. ANALCO 2006: 185-197 - [c23]Benjamin Doerr, Christian Klein:
Unbiased Rounding of Rational Matrices. FSTTCS 2006: 200-211 - [c22]Benjamin Doerr, Johannes Lengler
, David Steurer:
The Interval Liar Game. ISAAC 2006: 318-327 - [c21]Benjamin Doerr, Tobias Friedrich:
Deterministic Random Walks on the Two-Dimensional Grid. ISAAC 2006: 474-483 - [c20]Benjamin Doerr, Nils Hebbinghaus, Frank Neumann:
Speeding Up Evolutionary Algorithms Through Restricted Mutation Operators. PPSN 2006: 978-987 - [c19]Benjamin Doerr:
Generating Randomized Roundings with Cardinality Constraints and Derandomizations. STACS 2006: 571-583 - [c18]Benjamin Doerr, Tobias Friedrich, Christian Klein, Ralf Osbild:
Unbiased Matrix Rounding. SWAT 2006: 102-112 - [i4]Benjamin Doerr, Nils Hebbinghaus, Sören Werth:
Improved Bounds and Schemes for the Declustering Problem. CoRR abs/cs/0603012 (2006) - [i3]Benjamin Doerr, Tobias Friedrich, Christian Klein, Ralf Osbild:
Unbiased Matrix Rounding. CoRR abs/cs/0604068 (2006) - [i2]Benjamin Doerr, Mahmoud Fouz:
Hereditary Discrepancies in Different Numbers of Colors II. CoRR abs/cs/0611126 (2006) - [i1]Nils Hebbinghaus, Benjamin Doerr, Frank Neumann:
Speeding up Evolutionary Algorithms by Restricted Mutation Operators. Electron. Colloquium Comput. Complex. TR06 (2006) - 2005
- [j19]Benjamin Doerr, Michael Gnewuch, Anand Srivastav:
Bounds and constructions for the star-discrepancy via ?-covers. J. Complex. 21(5): 691-709 (2005) - [c17]Benjamin Doerr:
Matrix rounding with low error in small submatrices. SODA 2005: 1067-1068 - [c16]Benjamin Doerr:
Roundings Respecting Hard Constraints. STACS 2005: 617-628 - [c15]Nitin Ahuja, Andreas Baltz, Benjamin Doerr, Ales Prívetivý, Anand Srivastav:
On the Minimum Load Coloring Problem. WAOA 2005: 15-26 - [c14]Benjamin Doerr, Tobias Friedrich, Christian Klein, Ralf Osbild:
Rounding of Sequences and Matrices, with Applications. WAOA 2005: 96-109 - 2004
- [j18]Benjamin Doerr:
Linear Discrepancy of Totally Unimodular Matrices. Comb. 24(1): 117-125 (2004) - [j17]Benjamin Doerr, Anand Srivastav, Petra Wehr:
Discrepancy of Cartesian Products of Arithmetic Progressions. Electron. J. Comb. 11(1) (2004) - [j16]Nitin Ahuja, Andreas Baltz, Benjamin Doerr, Anand Srivastav:
Coloring Graphs with Minimal Edge Load. Electron. Notes Discret. Math. 17: 9-13 (2004) - [j15]Benjamin Doerr, Nils Hebbinghaus, Sören Werth:
An Improved Discrepancy Approach to Declustering. Electron. Notes Discret. Math. 17: 129-133 (2004) - [j14]Benjamin Doerr:
Global roundings of sequences. Inf. Process. Lett. 92(3): 113-116 (2004) - [j13]Benjamin Doerr:
Nonindependent Randomized Rounding and an Application to Digital Halftoning. SIAM J. Comput. 34(2): 299-317 (2004) - [j12]Benjamin Doerr:
Typical rounding problems. Theor. Comput. Sci. 312(2-3): 463-477 (2004) - [j11]Benjamin Doerr:
European tenure games. Theor. Comput. Sci. 313(3): 339-351 (2004) - [c13]Nitin Ahuja, Andreas Baltz, Benjamin Doerr, Anand Srivastav:
Coloring Graphs with Minimal Edge Load. CTW 2004: 16-20 - [c12]Benjamin Doerr, Nils Hebbinghaus, Sören Werth:
An Improved Discrepancy Approach to Declustering. CTW 2004: 114-118 - [c11]Benjamin Doerr, Nils Hebbinghaus, Sören Werth:
Improved Bounds and Schemes for the Declustering Problem. MFCS 2004: 760-771 - [c10]Benjamin Doerr:
Matrix rounding and approximation. SODA 2004: 575-576 - 2003
- [j10]Benjamin Doerr, Anand Srivastav:
Multicolour Discrepancies. Comb. Probab. Comput. 12(4): 365-399 (2003) - [c9]Benjamin Doerr:
Non-independent randomized rounding. SODA 2003: 506-507 - 2002
- [j9]Benjamin Doerr:
Discrepancy in different numbers of colors. Discret. Math. 250(1-3): 63-70 (2002) - [j8]Noga Alon, Benjamin Doerr, Tomasz Luczak
, Tomasz Schoen
:
On the discrepancy of combinatorial rectangles. Random Struct. Algorithms 21(3-4): 205-215 (2002) - [c8]Benjamin Doerr:
Typical Rounding Problems. APPROX 2002: 81-93 - [c7]Benjamin Doerr, Henning Schnieder:
Non-independent Randomized Rounding and an Application to Digital Halftoning. ESA 2002: 399-410 - [c6]Benjamin Doerr:
Antirandomizing the Wrong Game. ICALP 2002: 876-887 - [c5]Benjamin Doerr:
Balanced Coloring: Equally Easy for All Numbers of Colors? STACS 2002: 112-120 - 2001
- [j7]Geir Agnarsson, Benjamin Doerr, Tomasz Schoen
:
Coloring t-dimensional m-Boxes. Discret. Math. 226(1-3): 21-33 (2001) - [j6]Benjamin Doerr, Anand Srivastav:
Multi-Color Discrepancies - Extended Abstract -. Electron. Notes Discret. Math. 7: 78-81 (2001) - [j5]Benjamin Doerr, Anand Srivastav:
Multicolor Discrepancy of Arithmetic Progressions - Extended Abstract. Electron. Notes Discret. Math. 8: 27-30 (2001) - [j4]Benjamin Doerr:
Vector Balancing Games with Aging. Electron. Notes Discret. Math. 10: 90-92 (2001) - [j3]Benjamin Doerr:
Vector Balancing Games with Aging. J. Comb. Theory A 95(2): 219-233 (2001) - [c4]Benjamin Doerr:
Structured Randomized Rounding and Coloring. FCT 2001: 461-471 - [c3]Benjamin Doerr:
Lattice approximation and linear discrepency of totally unimodular matrices. SODA 2001: 119-125 - [c2]Benjamin Doerr, Anand Srivastav:
Recursive Randomized Coloring Beats Fair Dice Random Colorings. STACS 2001: 183-194 - 2000
- [j2]Benjamin Doerr:
Linear Discrepancy of Basic Totally Unimodular Matrices. Electron. J. Comb. 7 (2000) - [j1]Benjamin Doerr:
Linear And Hereditary Discrepancy. Comb. Probab. Comput. 9(4): 349-354 (2000)
1990 – 1999
- 1999
- [c1]Benjamin Doerr, Anand Srivastav:
Approximation of Multi-color Discrepancy. RANDOM-APPROX 1999: 39-50
Coauthor Index
aka: Carola Winzen
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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last updated on 2024-08-25 20:06 CEST by the dblp team
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