改进NSGA-Ⅱ算法在涡轮叶片多光谱测温中的应用OACSTPCD
Application of multi?spectral temperature measurement of turbine blades based on improved NSGA?Ⅱ algorithm
介绍了多光谱辐射测温原理、遗传算法(genetic algorithm,GA)以及第二代非支配排序进化算法(non?dominated sorting genetic algorithm?Ⅱ,NSGA?II)的应用.从自适应角度出发对NSGA_II算法加以改进,使其交叉变异算子具有一定动态调整能力,并把差分进化算法融合到NSGA_II变异算子进化中使其进化方向得以优化.作者从计算精度,稳定度,计算速度角度出发对传统的GA遗传算法、经典的NSGA?…查看全部>>
This paper briefly introduces the principle of multi?spectral radiation temperature measurement and the application of genetic algorithm(GA)and the second generation of non?dominated sorting evolutionary algorithm (NSGA_II)in this circumstance. In this paper,the NSGA_II algorithm was improved from the adaptive angle,so that the cross?mutation operator has a certain dynamic adjustment ability,the differential evolution algorithm was in?tegrated into the evolu…查看全部>>
冯驰;迟源;陈立伟
哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨150001哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨150001哈尔滨工程大学 信息与通信工程学院,黑龙江 哈尔滨150001
矿业与冶金
多光谱测温NSGA⁃Ⅱ算法GA算法涡轮叶片差分进化种群特性稳定度精度
multispectral temperature measurementNSGA⁃II algorithmGA algorithmturbine bladedifferential evolutionpopulation characteristicsstabilityprecision
《应用科技》 2018 (1)
89-95,7
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