| Geometric inhomogeneous random graphs K Bringmann, R Keusch, J Lengler Theoretical Computer Science 760, 35-54, 2019 | 164 | 2019 |
| Drift analysis J Lengler Theory of evolutionary computation: Recent developments in discrete …, 2020 | 104 | 2020 |
| A general dichotomy of evolutionary algorithms on monotone functions J Lengler IEEE Transactions on Evolutionary Computation 24 (6), 995-1009, 2019 | 71 | 2019 |
| Reliable neuronal systems: the importance of heterogeneity J Lengler, F Jug, A Steger PloS one 8 (12), e80694, 2013 | 63 | 2013 |
| Self-adjusting mutation rates with provably optimal success rules B Doerr, C Doerr, J Lengler Proceedings of the Genetic and Evolutionary Computation Conference, 1479-1487, 2019 | 61 | 2019 |
| Average distance in a general class of scale-free networks with underlying geometry K Bringmann, R Keusch, J Lengler arXiv preprint arXiv:1602.05712, 2016 | 59 | 2016 |
| Drift analysis and evolutionary algorithms revisited J Lengler, A Steger Combinatorics, Probability and Computing 27 (4), 643-666, 2018 | 58 | 2018 |
| Sampling geometric inhomogeneous random graphs in linear time K Bringmann, R Keusch, J Lengler 25th Annual European Symposium on Algorithms (ESA 2017) 87, 20, 2017 | 46 | 2017 |
| Bootstrap percolation on geometric inhomogeneous random graphs C Koch, J Lengler arXiv preprint arXiv:1603.02057, 2016 | 45 | 2016 |
| Nearly-tight analysis for 2-choice and 3-majority consensus dynamics M Ghaffari, J Lengler Proceedings of the 2018 ACM Symposium on Principles of Distributed Computing …, 2018 | 43 | 2018 |
| Greedy routing and the algorithmic small-world phenomenon K Bringmann, R Keusch, J Lengler, Y Maus, AR Molla Proceedings of the ACM Symposium on Principles of Distributed Computing, 371-380, 2017 | 41 | 2017 |
| Black-box complexities of combinatorial problems B Doerr, J Lengler, T Kötzing, C Winzen Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 40 | 2011 |
| Fixed budget performance of the (1+ 1) EA on linear functions J Lengler, N Spooner Proceedings of the 2015 ACM Conference on Foundations of Genetic Algorithms …, 2015 | 31 | 2015 |
| Asymptotically optimal amplifiers for the Moran process LA Goldberg, J Lapinskas, J Lengler, F Meier, K Panagiotou, P Pfister Theoretical Computer Science 758, 73-93, 2019 | 29 | 2019 |
| Exponential slowdown for larger populations: the (µ+ 1)-EA on monotone functions J Lengler, X Zou Proceedings of the 15th ACM/SIGEVO Conference on Foundations of Genetic …, 2019 | 27 | 2019 |
| Medium step sizes are harmful for the compact genetic algorithm J Lengler, D Sudholt, C Witt Proceedings of the Genetic and Evolutionary Computation Conference, 1499-1506, 2018 | 27 | 2018 |
| Bounding bloat in genetic programming B Doerr, T Kötzing, JAG Lagodzinski, J Lengler Proceedings of the Genetic and Evolutionary Computation Conference, 921-928, 2017 | 27 | 2017 |
| The complex parameter landscape of the compact genetic algorithm J Lengler, D Sudholt, C Witt Algorithmica 83, 1096-1137, 2021 | 26 | 2021 |
| Large population sizes and crossover help in dynamic environments J Lengler, J Meier International Conference on Parallel Problem Solving from Nature, 610-622, 2020 | 25* | 2020 |
| The (1+ 1)-EA on noisy linear functions with random positive weights J Lengler, U Schaller 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 712-719, 2018 | 21 | 2018 |
