随机线性规划模型参数求解的基因方法

Study on calculating the parameters of stochastic linear programming model based on RAGA

将基因算法作以改进 ,形成加速遗传算法 (RACA)。在随机线性规划中得以应用 ,通过选择、交叉、变异等操作算子 ,可以对多维参数同时寻优 ,避免了传统优化方法早熟、提前收敛及易陷入局部最优的弊端 ,通过两个实例分析 ,取得满意效果 。

Combining RAGA with stochastic linear programming,the author solved the problem of optimizing many parameters at the same time.Through selecting,crossing and mutation operation,the optimiaing results can be calculated.Thus,the advanced convergence and easily to run into partial optimization been handled.Based on RAGA,the author applied the RAGA method to calculate two problems,the result is good,and the paper can provide a new method for readers who engaged in correlative research.$$$$