This paper presents an adaptive multilevel parameterization algorithm based on genetic optimization algorithm in view of the design issues on blade profile and airfoil. According to the principle of multi-grid method,...
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ISBN:
(纸本)9780979847110
This paper presents an adaptive multilevel parameterization algorithm based on genetic optimization algorithm in view of the design issues on blade profile and airfoil. According to the principle of multi-grid method, this algorithm using the recursive algorithm of Bezier curve transforms the design variables and their numbers between upper-lower levels saves the prefect individuals. from upper level to lower level in the optimization iterative process. The optimization efficiency is greatly improved by the advancement of simple genetic algorithm, and a local parallel network optimization platform according to the property of genetic algorithm is built, which leads to less time cost. An example on curve transformation and the other on blade profiles optimization are given in the end. The results indicate that the adaptive multilevel parameterization algorithm can obviously accelerate convergence of the iterative, especially, a small number of individuals.
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