贵州施秉县耕地质量等级与保护利用建议

针对车间的混合流水线调度问题（HFSP）存在智能算法寻优过程中节能目标即适应值评估代价高的问题，首先，通过分析车间节能模型建模的编码方式，提出一种基于矩阵编码机制的特征向量提取方法，引入核函数有利于极限学习机（ELM）求解节能目标。其次，对需要构建代理模型的改进多目标多元宇宙优化算法（IMOMVO）进行计算复杂度分析，建立了基于ELM的代理模型，设计数据驱动优化的车间节能目标算法框架。最后，基于均匀分布变量的拉丁超立方抽样，形成初始化样本，与BP算法进行预测性能验证和计算时间对比两个实验。实验结果显示，ELM算法的拟合优度为0.97381，预测性能指标均优于BP算法。单个适应值平均计算时间为5.4×10-4 s，仅为真实求解的18.5%。说明ELM在车间节能目标预测问题具有良好的效果。

Quality Grade of Cultivated Soil and Suggestions for Protection and Utilization in Shibing County, Guizhou Province

According to the results of the cultivated soil survey, on the basis of the comprehensive evaluation of soil nutrients and environmental geochemistry, combined with irrigation water and atmospheric dry and wet deposition, the cultivated soil quality of Shibing county is classified. The results show that the cultivated soil quality of the county is medium or above, accounting for 99.06%. Its quality is generally good. In addition, the cultivated soil of the county is rich in selenium and germanium characteristic elements, which has the soil resource basis for developing selenium and germanium rich characteristic agricultural products. Some suggestions are put forward for the adjustment of agricultural structure and the protection and utilization of cultivated soil.