SMS-EMOA: Multiobjective selection based on dominated hypervolume N Beume, B Naujoks, M Emmerich European Journal of Operational Research 181 (3), 1653-1669, 2007 | 2184 | 2007 |
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 | 788 | 2006 |
An EMO algorithm using the hypervolume measure as selection criterion M Emmerich, N Beume, B Naujoks International Conference on Evolutionary Multi-Criterion Optimization, 62-76, 2005 | 788 | 2005 |
Pareto-, aggregation-, and indicator-based methods in many-objective optimization T Wagner, N Beume, B Naujoks International conference on evolutionary multi-criterion optimization, 742-756, 2007 | 569 | 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 | 167 | 2007 |
Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems TJ Stewart, J Wallenius, M Ehrgott, B Naujoks Decision Making 7, 2008 | 126* | 2008 |
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 | 125 | 2020 |
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 | 122 | 2009 |
Pareto set and EMOA behavior for simple multimodal multiobjective functions M Preuss, B Naujoks, G Rudolph International Conference on Parallel Problem Solving from Nature, 513-522, 2006 | 115 | 2006 |
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 | 106 | 2005 |
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 | 78 | 2014 |
Metamodel assisted multiobjective optimisation strategies and their application in airfoil design M Emmerich, B Naujoks Adaptive computing in design and manufacture VI, 249-260, 2004 | 72 | 2004 |
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 | 63 | 2016 |
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 | 62 | 2008 |
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 |
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 | 56 | 2010 |
Optimizing the door assignment in LTL-terminals A Chmielewski, B Naujoks, M Janas, U Clausen Transportation Science 43 (2), 198-210, 2009 | 53 | 2009 |
Open issues in surrogate-assisted optimization J Stork, M Friese, M Zaefferer, T Bartz-Beielstein, A Fischbach, ... High-performance simulation-based optimization, 225-244, 2020 | 52 | 2020 |
OCD: Online convergence detection for evolutionary multi-objective algorithms based on statistical testing T Wagner, H Trautmann, B Naujoks International Conference on Evolutionary Multi-Criterion Optimization, 198-215, 2009 | 51 | 2009 |
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 | 42 | 2020 |