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首页> 外文期刊>International Journal of Modern Physics: Conference Series >MULTI OBJECTIVE AERODYNAMIC OPTIMIZATION USING PARALLEL NASH EVOLUTIONARY/DETERMINISTIC HYBRID ALGORITHMS
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MULTI OBJECTIVE AERODYNAMIC OPTIMIZATION USING PARALLEL NASH EVOLUTIONARY/DETERMINISTIC HYBRID ALGORITHMS

机译:基于并行NASH进化/确定性混合算法的多目标气动优化

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This paper solved aerodynamic drag reduction of transport wing fuselage configuration in transonic regime by using a parallel Nash evolutionary/deterministic hybrid optimization algorithm. Two sets of parameters are used, namely globally and locally. It is shown that optimizing separately local and global parameters by using Nash algorithms is far more efficient than considering these variables as a whole.
机译:通过使用并行Nash进化/确定性混合优化算法,解决了跨音速运输机翼机身配置的气动减阻问题。使用了两组参数,即全局和局部参数。结果表明,使用Nash算法分别优化局部和全局参数比将这些变量作为一个整体考虑要有效得多。

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