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8 不同抗压强度下最低成本及对应的配比参数取值
Table 8 Minimum cost and corresponding ratio parameter value under different compressive strength
参数不同抗压强度下最低成本时的参数取值
1.2 MPa1.3 MPa1.4 MPa1.5 MPa1.6 MPa1.7 MPa1.8 MPa1.9 MPa2.0 MPa
ω17.07.47.68.06.86.58.17.27.1
ω22.52.22.92.39.212.05.710.912.5
ω367.267.367.566.866.366.467.867.569.0
最低成本/(元·t-126.227.428.529.330.431.132.232.733.5