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基于近似模型的透平机械多目标优化
引用本文:王晓东,康顺.基于近似模型的透平机械多目标优化[J].工程热物理学报,2011(11):1847-1850.
作者姓名:王晓东  康顺
作者单位:华北电力大学电站设备状态检测与控制教育部重点实验室;
基金项目:国家自然科学基金资助项目(No.90718025)
摘    要:本文研究了采用多目标优化算法NSGA—II与前馈神经网络的耦合优化方法的收敛性问题。提出了一种改进的拥挤距离和coarse-to-fine的迭代策略,有效地解决了原耦合方法不收敛的问题。在此基础上,提出了基于数值模拟和耦合优化方法的多目标气动设计框架,并对转子37进行了三目标优化。优化结果表明,多目标优化结果的气动性能...

关 键 词:多目标遗传算法  前馈神经网络  数值模拟  轴流压气机  弯掠叶片

Multi-Objective Optimization on the Rotor of a Transonic Axial Compressor
WANG Xiao-Dong KANG Shun ,Ministry of Education,Beijing ,China.Multi-Objective Optimization on the Rotor of a Transonic Axial Compressor[J].Journal of Engineering Thermophysics,2011(11):1847-1850.
Authors:WANG Xiao-Dong KANG Shun  Ministry of Education  Beijing  China
Institution:WANG Xiao-Dong KANG Shun (Key Laboratory of Condition Monitoring and Control for Power Plant Equipment(North China Electric Power University),Ministry of Education,Beijing 102206,China)
Abstract:The convergence of the coupled optimization method based on a multi-objective genetic algorithm NSGA-II and back propagation neural network is analyzed in the presented paper.An improved crowding distance and a coarse-to-fine iteration strategy are proposed to overcome the less convergence of the coupled method.An aerodynamic design framework based on the improved coupled method and CFD simulations is proposed and applied to the triple-objective optimization on the rotor 37.The aerodynamic performance of th...
Keywords:multi-objective genetic algorithm  back propagation neural network  numerical simulation  axial compressor  curved-leaned blade  
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