基于神经网络与遗传算法的多目标充填料浆配比优化

肖文丰,陈建宏,陈毅,王喜梅

Optimization of Multi-objective Filling Slurry Ratio Based on Neural Network and Genetic Algorithm

Wenfeng XIAO,Jianhong CHEN,Yi CHEN,Ximei WANG

表2 充填料浆配比归一化后的样本数据

Table 2 Normalized samples data of filling slurry ratio

参数 序号 1 2 3 4 5 6 7 8 9 10 11 12 ω1 1 0.965 0.897 0.629 0.555 0.422 0.403 0.365 0.291 0.276 0.101 0.085 ω2 0 0 0 0 0 0 0 0 0 0 0 0 ω3 0.597 0.530 0.394 0.781 0.563 0.883 0.808 0.657 0.948 0.871 1 0.881 抗压强度/MPa 3.67 3.64 2.89 2.43 1.64 1.59 1.54 1.48 1.14 0.84 0.54 0.43 参数 序号 13 14 15 16 17 18 19 20 21 22 23 24 ω1 0.075 0.365 0.422 0.441 0.244 0.291 0 0.025 0.604 0.244 0.306 0.034 ω2 0 0.897 0.974 1 0.734 0.797 0.807 0.877 0 0 0.818 0.900 ω3 0.802 0 0.169 0.225 0.179 0.363 0.246 0.437 0.709 0.717 0.425 0.500 抗压强度/MPa 0.43 1.85 2.13 2.21 1.49 1.67 0.53 0.67 2.28 0.9 1.85 0.74