| SMS-EMOA: Multiobjective selection based on dominated hypervolume N Beume, B Naujoks, M Emmerich European Journal of Operational Research 181 (3), 1653-1669, 2007 | 1912 | 2007 |
| An EMO algorithm using the hypervolume measure as selection criterion M Emmerich, N Beume, B Naujoks Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005 | 720 | 2005 |
| Single-and multiobjective evolutionary optimization assisted by Gaussian random field metamodels MTM Emmerich, KC Giannakoglou, B Naujoks IEEE Transactions on Evolutionary Computation 10 (4), 421-439, 2006 | 667 | 2006 |
| Pareto-, aggregation-, and indicator-based methods in many-objective optimization T Wagner, N Beume, B Naujoks Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007 | 547 | 2007 |
| Capabilities of EMOA to detect and preserve equivalent Pareto subsets G Rudolph, B Naujoks, M Preuss Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007 | 143 | 2007 |
| Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems TJ Stewart, J Wallenius, M Ehrgott, B Naujoks Decision Making 7, 2008 | 122* | 2008 |
| Enhancing decision space diversity in evolutionary multiobjective algorithms OM Shir, M Preuss, B Naujoks, M Emmerich Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO …, 2009 | 112 | 2009 |
| Multi-objective optimisation using S-metric selection: Application to three-dimensional solution spaces B Naujoks, N Beume, M Emmerich 2005 IEEE Congress on Evolutionary Computation 2, 1282-1289, 2005 | 107 | 2005 |
| Pareto set and EMOA behavior for simple multimodal multiobjective functions M Preuss, B Naujoks, G Rudolph PPSN, 513-522, 2006 | 93 | 2006 |
| Efficient global optimization for combinatorial problems M Zaefferer, J Stork, M Friese, A Fischbach, B Naujoks, T Bartz-Beielstein Proceedings of the 2014 annual conference on genetic and evolutionary …, 2014 | 76 | 2014 |
| Benchmarking in optimization: Best practice and open issues T Bartz-Beielstein, C Doerr, D Berg, J Bossek, S Chandrasekaran, ... arXiv preprint arXiv:2007.03488, 2020 | 75 | 2020 |
| Metamodel Assisted Multiobjective Opti-misation Strategies and their Application M Emmerich, B Naujoks Adaptive computing in design and manufacture VI, 249, 2004 | 71 | 2004 |
| Statistical methods for convergence detection of multi-objective evolutionary algorithms H Trautmann, T Wagner, B Naujoks, M Preuss, J Mehnen Evolutionary computation 17 (4), 493-509, 2009 | 60 | 2009 |
| Intelligent moving of groups in real-time strategy games H Danielsiek, R Stuer, A Thom, N Beume, B Naujoks, M Preuss 2008 IEEE Symposium On Computational Intelligence and Games, 71-78, 2008 | 59 | 2008 |
| Towards intelligent team composition and maneuvering in real-time strategy games M Preuss, N Beume, H Danielsiek, T Hein, B Naujoks, N Piatkowski, ... IEEE Transactions on Computational Intelligence and AI in Games 2 (2), 82-98, 2010 | 54 | 2010 |
| Optimizing the door assignment in LTL-terminals A Chmielewski, B Naujoks, M Janas, U Clausen Transportation Science 43 (2), 198-210, 2009 | 54 | 2009 |
| OCD: Online convergence detection for evolutionary multi-objective algorithms based on statistical testing T Wagner, H Trautmann, B Naujoks Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO …, 2009 | 50 | 2009 |
| Demonstrating the feasibility of automatic game balancing V Volz, G Rudolph, B Naujoks Proceedings of the Genetic and Evolutionary Computation Conference 2016, 269-276, 2016 | 42 | 2016 |
| Measuring flow as concept for detecting game fun in the Pac-Man game N Beume, H Danielsiek, C Eichhorn, B Naujoks, M Preuss, K Stiller, ... 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on …, 2008 | 40 | 2008 |
| Expected improvement versus predicted value in surrogate-based optimization F Rehbach, M Zaefferer, B Naujoks, T Bartz-Beielstein Proceedings of the 2020 genetic and evolutionary computation conference, 868-876, 2020 | 38 | 2020 |
