随机油价下油田产量构成优化模型的混合遗传算法求解

Advanced Genetic Algorithm for Optimal Models for Oil Production Composition of Oilfield Development Based on Stochastic Oil Price

建立随机油价下油田产量构成优化模型,在此基础上将Powell方法作为一个与选择、交叉和变异平行的算子嵌入到标准遗传算法中,并利用模拟退火精确罚函数法处理约束条件,构成了遗传算法、Powell方法与模拟退火算法相结合的Powell遗传退火精确罚函数算法。结合实例分析,将算法应用到随机油价下油田产量构成优化模型中并得到了最优解。

This paper introduced an advanced genetic algorithm for optimal model for oil production composition of oilfield development programming based on stochastic oil price.Powell method was taken as an arithmetic operator paralleled with the selective operator, crossover operator and mutation operator into the standard genetic algorithm, restriction conditions were handled with a accurate new anneal punishment function method, and the advanced genetic algorithm was established.Optimal model for oil production composition of oilfield development based on stochastic oil price is solved and the global optimum is obtained.