Boris Naujoks
Cited by
Cited by
SMS-EMOA: Multiobjective selection based on dominated hypervolume
N Beume, B Naujoks, M Emmerich
European Journal of Operational Research 181 (3), 1653-1669, 2007
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
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
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
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
Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems
TJ Stewart, J Wallenius, M Ehrgott, B Naujoks
Decision Making 7, 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
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
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
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
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
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
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
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
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
Optimizing the door assignment in LTL-terminals
A Chmielewski, B Naujoks, M Janas, U Clausen
Transportation Science 43 (2), 198-210, 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
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
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
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
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