摘要
在气田开发规划产量构成优化模型的基础上,引入一种单目标模型的改进遗传算法,把无约束优化中的直接解法Powell方法作为一个与选择、交叉和变异平行的算子嵌入到基本遗传算法中;并利用了一种新的退火精确罚函数法处理约束条件,运用MATLAB6．O编写算法程序,选取开发规划产量构成优化模型中的定成本产量最大模型,实例分析该算法在气田开发规划产量构成优化模型中的具体应用,取得了较好的效果。
This paper introduces an advanced genetic algorithm for single-objective optimal models on the basis of optimal models for production composition of natural gas development programming. Take Powell method as an arithmetic operator paralleled with the operators such as selection, crossover and mutation into the elementary genetic algorithm, and make use of a new anneal accurate punishment function method to deal with the restriction conditions, compile the algorithm program with MATLAB, select the maximal yield on the restriction of fixed cost, analyze the actual application of the algorithm for optimal models for production composition of natural gas development programming with the example, and get a better effect.
出处
《西南石油学院学报》
CAS
CSCD
北大核心
2006年第3期1-4,共4页
Journal of Southwest Petroleum Institute
基金
"油气藏地质及开发工程"国家重点实验室项目(石油计算技术专项研究)成果之一。
关键词
开发规划
产量构成
改进遗传算法
Powell方法
development programming
production composition
advanced genetic algorithm
Powell method
