| Evolution strategies–a comprehensive introduction HG Beyer, HP Schwefel Natural computing 1, 3-52, 2002 | 3723 | 2002 |
| Robust optimization–a comprehensive survey HG Beyer, B Sendhoff Computer methods in applied mechanics and engineering 196 (33-34), 3190-3218, 2007 | 2117 | 2007 |
| Theory of evolution strategies—A tutorial HG Beyer, DV Arnold Theoretical aspects of evolutionary computing, 109-133, 2001 | 1320 | 2001 |
| Self-adaptive genetic algorithms with simulated binary crossover K Deb, HG Beyer Evolutionary Computation 9 (2), 197-221, 2001 | 564 | 2001 |
| On self-adaptive features in real-parameter evolutionary algorithms HG Beyer, K Deb IEEE Transactions on evolutionary computation 5 (3), 250-270, 2001 | 389 | 2001 |
| Evolutionary algorithms in noisy environments: Theoretical issues and guidelines for practice HG Beyer Computer methods in applied mechanics and engineering 186 (2-4), 239-267, 2000 | 336 | 2000 |
| Toward a theory of evolution strategies: Self-adaptation HG Beyer Evolutionary Computation 3 (3), 311-347, 1995 | 310 | 1995 |
| Lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics): Preface M Abe, K Aoki, G Ateniese, R Avanzi, Z Beerliová, O Billet, A Biryukov, ... Lecture Notes in Computer Science (including subseries Lecture Notes in …, 2006 | 287* | 2006 |
| Self-adaptation in evolutionary algorithms S Meyer-Nieberg, HG Beyer Parameter setting in evolutionary algorithms, 47-75, 2007 | 276 | 2007 |
| Toward a theory of evolution strategies: On the benefits of sex—the (μ/μ, λ) theory HG Beyer Evolutionary Computation 3 (1), 81-111, 1995 | 264 | 1995 |
| Benchmark generator for CEC 2009 competition on dynamic optimization C Li, S Yang, TT Nguyen, EL Yu, X Yao, Y Jin, HG Beyer, PN Suganthan | 238 | 2008 |
| Noisy optimization with evolution strategies DV Arnold Springer Science & Business Media, 2012 | 222 | 2012 |
| Toward a Theory of Evolution Strategies: Some Asymptotical Results from the (1,+ λ)-Theory HG Beyer Evolutionary computation 1 (2), 165-188, 1993 | 190 | 1993 |
| How to analyse evolutionary algorithms HG Beyer, HP Schwefel, I Wegener Theoretical Computer Science 287 (1), 101-130, 2002 | 186 | 2002 |
| Covariance matrix adaptation revisited–the CMSA evolution strategy– HG Beyer, B Sendhoff International Conference on Parallel Problem Solving from Nature, 123-132, 2008 | 165 | 2008 |
| An alternative explanation for the manner in which genetic algorithms operate HG Beyer BioSystems 41 (1), 1-15, 1997 | 134 | 1997 |
| Toward a theory of evolution strategies: The (μ, λ)-theory HG Beyer Evolutionary Computation 2 (4), 381-407, 1994 | 132 | 1994 |
| A comparison of evolution strategies with other direct search methods in the presence of noise DV Arnold, HG Beyer Computational Optimization and Applications 24, 135-159, 2003 | 131 | 2003 |
| Simplify your covariance matrix adaptation evolution strategy HG Beyer, B Sendhoff IEEE Transactions on Evolutionary Computation 21 (5), 746-759, 2017 | 111 | 2017 |
| Thresholding-a selection operator for noisy ES S Markon, DV Arnold, T Back, T Beielstein, HG Beyer Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No …, 2001 | 110 | 2001 |
Dirk V. ArnoldProfessor, Faculty of Computer Science, Dalhousie UniversityVerified email at dal.ca
