Why rumors spread so quickly in social networks B Doerr, M Fouz, T Friedrich Communications of the ACM 55 (6), 70-75, 2012 | 479 | 2012 |
Theory of randomized search heuristics: Foundations and recent developments A Auger, B Doerr World Scientific, 2011 | 421 | 2011 |
Multiplicative drift analysis B Doerr, D Johannsen, C Winzen Proceedings of the 12th annual conference on Genetic and evolutionary …, 2010 | 288 | 2010 |
Fast genetic algorithms B Doerr, HP Le, R Makhmara, TD Nguyen Proceedings of the genetic and evolutionary computation conference, 777-784, 2017 | 218 | 2017 |
From black-box complexity to designing new genetic algorithms B Doerr, C Doerr, F Ebel Theoretical Computer Science 567, 87-104, 2015 | 203 | 2015 |
Probabilistic tools for the analysis of randomized optimization heuristics B Doerr Theory of evolutionary computation: Recent developments in discrete …, 2020 | 188 | 2020 |
Optimal fixed and adaptive mutation rates for the LeadingOnes problem S Böttcher, B Doerr, F Neumann Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010 | 180 | 2010 |
Social networks spread rumors in sublogarithmic time B Doerr, M Fouz, T Friedrich Proceedings of the forty-third annual ACM symposium on Theory of computing …, 2011 | 174 | 2011 |
Theory of evolutionary computation: Recent developments in discrete optimization B Doerr, F Neumann Springer Nature, 2019 | 172 | 2019 |
Crossover can provably be useful in evolutionary computation B Doerr, E Happ, C Klein Proceedings of the 10th annual conference on Genetic and evolutionary …, 2008 | 164 | 2008 |
Stabilizing consensus with the power of two choices B Doerr, LA Goldberg, L Minder, T Sauerwald, C Scheideler Proceedings of the twenty-third annual ACM symposium on Parallelism in …, 2011 | 127 | 2011 |
Adaptive drift analysis B Doerr, LA Goldberg Algorithmica 65, 224-250, 2013 | 116 | 2013 |
Optimal Static and Self-Adjusting Parameter Choices for the Genetic Algorithm B Doerr, C Doerr Algorithmica 80, 1658-1709, 2018 | 112 | 2018 |
Theory of parameter control for discrete black-box optimization: Provable performance gains through dynamic parameter choices B Doerr, C Doerr Theory of Evolutionary Computation: Recent Developments in Discrete …, 2020 | 109 | 2020 |
Optimal parameter choices via precise black-box analysis B Doerr, C Doerr, J Yang Proceedings of the Genetic and Evolutionary Computation Conference 2016 …, 2016 | 102 | 2016 |
Analyzing randomized search heuristics: Tools from probability theory B Doerr Theory of Randomized Search Heuristics: Foundations and Recent Developments …, 2011 | 100 | 2011 |
Quasirandom rumor spreading B Doerr, T Friedrich, T Sauerwald arXiv preprint arXiv:1012.5351, 2010 | 96 | 2010 |
Mutation rate matters even when optimizing monotonic functions B Doerr, T Jansen, D Sudholt, C Winzen, C Zarges Evolutionary computation 21 (1), 1-27, 2013 | 83 | 2013 |
Optimal parameter choices through self-adjustment: Applying the 1/5-th rule in discrete settings B Doerr, C Doerr Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015 | 82 | 2015 |
Optimising spatial and tonal data for homogeneous diffusion inpainting M Mainberger, S Hoffmann, J Weickert, CH Tang, D Johannsen, ... Scale Space and Variational Methods in Computer Vision: Third International …, 2012 | 79 | 2012 |