3.data为数据集,5个输入特征,4个输出变量,NSGAII算法寻极值,求出极值时(max y1; min y2;min y3;min y4)的自变量x1,x2,x3,x4,x5。 4.main1.m为PSO-BP神经网络主程序文件、main2.m为NSGAII多目标优化算法主程序文件,依次运行即可,其余为函数文件,无需运行。 5.命令窗口输出R2、MAE、MBE、MAPE、RMSE...
本发明公开了基于PSOBP神经网络和NSGAII的激光切割加工建模及参数优化选择方法,通过已有的激光切割加工数据,利用经过PSOBP优化后的BP神经网络建立神经网络模型,并通过NSGAII多目标优化算法优化选择激光加工参数.将构建的建模样本集进行归一化处理,获得归一化样本集;根据归一化样本集,利用粒子群优化算法(PSO)优化BP神经网络...
A python library for the following Multiobjective Optimization Algorithms or Many Objectives Optimization Algorithms: C-NSGA II; CTAEA; GrEA; HypE; IBEA-FC; IBEA-HV; MOEA/D; NAEMO; NSGA II; NSGA III; OMOPSO; PAES; RVEA; SMPSO; SMS-EMOA; SPEA2; U-NSGA II
Optimizing Electromagnetic Cigarette Heaters Using PSO-NSGA II Algorithm: An Effective Strategy to Improve Temperature Control and Production RateThe global tobacco industry has made significant strides in reducing the harmful emissions of tobacco by focusing on the development of non-burning cigarette ...
Terrab, Hard turning behavior improvement using NSGA-II and PSO-NN hybrid model, Int. J. Adv. Manuf. Technol. (2016). http://dx.doi.org/ 10.1007/s00170-016-8479-6.Bouacha K, Terrab A (2016) Hard turning behavior improvement using NSGA-II and PSO-NN hybrid model. Int J Adv ...
Furthermore, the NSGA-II exhibits better performance when compared to the PSO-NN methodology. However, the PSO-NN has been shown to outperform the NSGA-II methodology in computational time. 展开 关键词: ANN PSO NSGA-II Hard turning Tool wear Surface roughness ...
Although, the GAs and PSO are applied for moment resisting steel structures, the concepts can be extended for other structural systems. It is concluded that the use of NSGA-II and PSO reduce the structural weight and they are a very useful tools to improve the structural performance of the ...
Proxy modelNSGA-IISingle-objective well control problems have been studied for many years as one of the most typical optimization problems by researchers worldwide. However, single-objective optimization often could not meet the needs in practical application processes leading to multi-objective ...
GWO-PSO algorithminjection moulding process parametersNSGA-IIECG recorders are precision medical devices, but their thin-walled shells are susceptible to warpage and shrinkage during injection molding production due to the injection molding process, which greatly shortens their service life. To address ...
A mathematical model for factory-level planning is proposed with two sequence-based resolution approaches implemented on two metaheuristics, NSGAII and SMPSO. These were tested on a numerical example after optimizing their parameters tuning.doi:10.1007/s00170-022-09188-yMaalouf, Elie...