Real-world design problems need robust and effective system-level optimization tools in as much as they are ruled by several criteria, most often in multidisciplinary environments. In this work a hybrid optimization algorithm has been obtained by adding a gradient-based technique to the set of operators of a multiobjective genetic algorithm. This makes it possible to increase the computational efficiency of the genetic algorithm while preserving its favorable features of robustness, problem independence, and multiobjective optimization capabilities. Aerodynamic shape design problems, including both airfoil and wing designs, are considered.
Airfoil and wing design through hybrid optimization strategies
Hybride Optimierungsstrategie für den Tragflächenentwurf
AIAA Journal ; 37 , 5 ; 634-641
1999
8 Seiten, 12 Bilder, 2 Tabellen, 16 Quellen
Article (Journal)
English
STRUCTURAL MECHANICS AND MATERIALS - Airfoil and Wing Design Through Hybrid Optimization Strategies
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