Online convergence detection for multiobjective aerodynamic applications
B. Naujoks, H. Trautmann, in: 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339.
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Naujoks, Boris;
Trautmann, HeikeLibreCat 
Abstract
Industry applications of multiobjective optimization problems mostly are characterized by the demand for high quality solutions on the one hand. On the other hand an optimization result is desired which at any rate meets the time constraints for the evolutionary multiobjective algorithms (EMOA). The handling of this trade-off is a frequently discussed issue in multiobjective evolutionary optimization.
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2009 IEEE Congress on Evolutionary Computation
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332-339
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Naujoks B, Trautmann H. Online convergence detection for multiobjective aerodynamic applications. In: 2009 IEEE Congress on Evolutionary Computation. ; 2009:332-339. doi:10.1109/CEC.2009.4982966
Naujoks, B., & Trautmann, H. (2009). Online convergence detection for multiobjective aerodynamic applications. 2009 IEEE Congress on Evolutionary Computation, 332–339. https://doi.org/10.1109/CEC.2009.4982966
@inproceedings{Naujoks_Trautmann_2009, title={Online convergence detection for multiobjective aerodynamic applications}, DOI={10.1109/CEC.2009.4982966}, booktitle={2009 IEEE Congress on Evolutionary Computation}, author={Naujoks, Boris and Trautmann, Heike}, year={2009}, pages={332–339} }
Naujoks, Boris, and Heike Trautmann. “Online Convergence Detection for Multiobjective Aerodynamic Applications.” In 2009 IEEE Congress on Evolutionary Computation, 332–39, 2009. https://doi.org/10.1109/CEC.2009.4982966.
B. Naujoks and H. Trautmann, “Online convergence detection for multiobjective aerodynamic applications,” in 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–339, doi: 10.1109/CEC.2009.4982966.
Naujoks, Boris, and Heike Trautmann. “Online Convergence Detection for Multiobjective Aerodynamic Applications.” 2009 IEEE Congress on Evolutionary Computation, 2009, pp. 332–39, doi:10.1109/CEC.2009.4982966.
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