【摘要】 提出了一种基于机器码存储的改进遗传算法,适于优化大型多变量问题。开发的C++基本位操作算子,使此算法仍可沿用传统二进制遗传算法的交叉变异操作。这一算法在内存和时间上占优势,是一种稳健的、全局搜索能力较强的优化算法,并在建立河北省某地区的年降雨神经网络预测模型的实践中得到了验证。更多还原

【Abstract】 The paper puts out a kind of improved genetic algorithm (GA) based on chromosome machinelevel stored It is fit for optimizing multivariable problemThe basic bit operators is compiled by C++,and makes it possible that GA discussed in this paper can use the crossingover operation and mutation operation of the classical binary GA The GA has the priority in terms of memory and time, which is a robust optimizing algorithm with stronger general searching ability And it is tested in setting up an ANN predicting model of annual rainfall in a zone of Hebei province更多还原