Title :
Online convergence detection for multiobjective aerodynamic applications
Author :
Naujoks, Boris ; Trautmann, Heike
Author_Institution :
Fac. of Comput. Sci., Tech. Univ. Dortmund, Dortmund
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.
Keywords :
aerodynamics; aerospace industry; convergence; evolutionary computation; optimisation; aircraft industry; evolutionary multiobjective algorithm; multiobjective aerodynamic application; multiobjective optimization problem; online convergence detection; Aerodynamics; Aerospace industry; Aircraft; Application software; Automotive components; Computer science; Convergence; Statistical analysis; Testing; Time factors;
Conference_Titel :
Evolutionary Computation, 2009. CEC '09. IEEE Congress on
Conference_Location :
Trondheim
Print_ISBN :
978-1-4244-2958-5
Electronic_ISBN :
978-1-4244-2959-2
DOI :
10.1109/CEC.2009.4982966
