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油田注水系统拓扑布局优化的混合遗传算法
引用本文:杨建军,刘扬.油田注水系统拓扑布局优化的混合遗传算法[J].数学的实践与认识,2006,36(10):93-99.
作者姓名:杨建军  刘扬
作者单位:大庆石油学院提高油气采收率教育部重点实验室,黑龙江,大庆,163318
摘    要:以投资最小为目标函数,建立了注水系统拓扑布局优化数学模型.根据模型特点,将优化问题分为两层,分别采用遗传算法和非线性优化方法进行求解.并对遗传算法的操作过程进行了改进,调整了适应函数,改进了交叉和变异操作,结合了模拟退火算法,在操作过程中使约束条件得到满足,减少了不可行解的产生,使遗传算法的优化性能得到了提高.优化算例说明了该方法的有效性.

关 键 词:注水  拓扑  布局  优化  混合遗传算法
修稿时间:2005年6月7日

Hybrid Genetic Algorithm for Topology and Layout Optimization of Oilfield Water Injection System
YANG Jian-jun,LIU Yang.Hybrid Genetic Algorithm for Topology and Layout Optimization of Oilfield Water Injection System[J].Mathematics in Practice and Theory,2006,36(10):93-99.
Authors:YANG Jian-jun  LIU Yang
Abstract:An optimization model of topology and layout optimization for water injection system is established,in which the minimum investment is taken as objective function.According to the model characteristics,the problem is divided into two layers,the genetic algorithm and nonlinear optimization are used to solve.The operational process of genetic algorithm is improved,the fitness function is adjusted,the cross and mutation method are improved,simulated annealing algorithm is combined with,and restrictions are satisfied,infeasible solutions are reduced,optimum performance of genetic algorithm is enhanced.Optimization results show that the algorithm is efficient.
Keywords:water injection  topology  layout  optimization  hybrid genetic algorithm
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