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Publications of Author

1. Michael Emmerich, Nicola Beume, Boris Naujoks
   An EMO Algorithm Using the Hypervolume Measure as Selection Criterion. [Citation Graph (0, 0)][DBLP]
   EMO, 2005, pp:62-76 [Conf]
   
2. Tobias Wagner, Nicola Beume, Boris Naujoks
   Pareto-, Aggregation-, and Indicator-Based Methods in Many-Objective Optimization. [Citation Graph (0, 0)][DBLP]
   EMO, 2006, pp:742-756 [Conf]
   
3. Günter Rudolph, Boris Naujoks, Mike Preuss
   Capabilities of EMOA to Detect and Preserve Equivalent Pareto Subsets. [Citation Graph (0, 0)][DBLP]
   EMO, 2006, pp:36-50 [Conf]
   
4. Boris Naujoks, Werner Haase, Jörg Ziegenhirt, Thomas Bäck
   Multi Objective Airfoil Design Using Single Parent Populations. [Citation Graph (0, 0)][DBLP]
   GECCO, 2002, pp:1156-1163 [Conf]
   
5. Mike Preuss, Boris Naujoks, Günter Rudolph
   Pareto Set and EMOA Behavior for Simple Multimodal Multiobjective Functions. [Citation Graph (0, 0)][DBLP]
   PPSN, 2006, pp:513-522 [Conf]
   
6. Boris Naujoks, Lars Willmes, Thomas Bäck, Werner Haase
   Evaluating Multi-criteria Evolutionary Algorithms for Airfoil Optimisation. [Citation Graph (0, 0)][DBLP]
   PPSN, 2002, pp:841-850 [Conf]
   
7. Michael T. M. Emmerich, Kyriakos Giannakoglou, Boris Naujoks
   Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels. [Citation Graph (0, 0)][DBLP]
   IEEE Trans. Evolutionary Computation, 2006, v:10, n:4, pp:421-439 [Journal]
   
8. Boris Naujoks, Nicola Beume, Michael T. M. Emmerich
   Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces. [Citation Graph (0, 0)][DBLP]
   Congress on Evolutionary Computation, 2005, pp:1282-1289 [Conf]
   
9. 
   Effects of 1-Greedy -Metric-Selection on Innumerably Large Pareto Fronts. [Citation Graph (, )][DBLP]
   
   
10. 
    Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. [Citation Graph (, )][DBLP]
    
    
11. 
    OCD: Online Convergence Detection for Evolutionary Multi-Objective Algorithms Based on Statistical Testing. [Citation Graph (, )][DBLP]
    
    
12. 
    Parameter Tuning Boosts Performance of Variation Operators in Multiobjective Optimization. [Citation Graph (, )][DBLP]
    
    
13. 
    Evolutionary optimization of ship propulsion systems. [Citation Graph (, )][DBLP]
    
    
14. 
    Measuring flow as concept for detecting game fun in the Pac-Man game. [Citation Graph (, )][DBLP]
    
    
15. 
    To model or not to model: Controlling Pac-Man ghosts without incorporating global knowledge. [Citation Graph (, )][DBLP]
    
    
16. 
    Online convergence detection for multiobjective aerodynamic applications. [Citation Graph (, )][DBLP]
    
    
17. 
    Pareto-dominance in noisy environments. [Citation Graph (, )][DBLP]
    
    
18. 
    On the Distribution of EMOA Hypervolumes. [Citation Graph (, )][DBLP]
    
    
19. 
    Statistical Methods for Convergence Detection of Multi-Objective Evolutionary Algorithms. [Citation Graph (, )][DBLP]