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- W2386922710 abstract "Genetic algorithm, compared with some conventional gradientbased methods, when applied to optimization design, has a primary disadvantage that computational cost increases greatly for overmuch evaluation of objective functions and their fitness. To improve efficiency of optimization by means of genetic algorithms, a compact hybrid genetic algorithm (CHGA) in aerodynamic optimization design is constructed by combining a conventional gradientbased method with the commonused genetic algorithm. Gradientbased method, taken as a genetic operator, is embedded into genetic algorithm to form hybrid genetic algorithm to improve efficiency of algorithm keeping perfectly global property. As application, hybrid genetic algorithm is used to carry out inverse design and wave optimization design of transonic airfoils. Compared with the results using standard genetic algorithm adopting elitist strategy, hybrid genetic algorithm is considered to be more efficient when applied in aerodynamic optimization design." @default.
- W2386922710 created "2016-06-24" @default.
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- W2386922710 date "2003-01-01" @default.
- W2386922710 modified "2023-09-28" @default.
- W2386922710 title "A Compact Hybrid Genetic Algorithm in Aerodynamic Optimization Design" @default.
- W2386922710 hasPublicationYear "2003" @default.
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