Aerodynamic optimization via multi-objective micro-genetic algorithm with range adaptation, knowledge-based reinitialization, crowding and epsilon-dominance

@article{Szlls2009AerodynamicOV,
  title={Aerodynamic optimization via multi-objective micro-genetic algorithm with range adaptation, knowledge-based reinitialization, crowding and epsilon-dominance},
  author={Andr{\'a}s Sz{\"o}ll{\"o}s and Miroslav Sm{\'i}d and Jaroslav H{\'a}jek},
  journal={Advances in Engineering Software},
  year={2009},
  volume={40},
  pages={419-430}
}
0965-9978/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.advengsoft.2008.07.002 * Corresponding author. E-mail addresses: szollos@vzlu.cz, szollos@vzlu.ed (M. Šmíd), hajek@vzlu.cz (J. Hájek). In this study, an optimization of the airfoil of a sailplane is carried out by a recently developed multiobjective genetic algorithm based on microevolution, containing crowding, range adaptation, knowledge-based reinitialization and e-dominance. Its efficiency was tested on a set of test problems… CONTINUE READING
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