Mfo算法的改进代码，以及实验的测试数据(Mfo algorithm to improve the code, as well as experimental test data)

借用MFO算法实现对于火电机组调度问题的优化，在处理约束变量时使用了stochastic ranking的方法(The MFO algorithm is adopted to optimize the scheduling problems of thermal power units. When dealing with constraint variables, the stochastic ranking method is adopted)