基于IPGA的成品油管道优化研究

The Product Pipeline Optimization Based on IPGA

将整数编码的遗传算法(lPGA)在成品油管道配泵方案的优化中加以运用,以泵转速为决策变量,采用整数编码方式将优化问题的解组成染色体,设计了相应的遗传方法及适应函数,并利用西部管道数据进行验证计算,结果表明,lPGA 用于成品油管道优化问题是可行的。

The integer which was coded partheno--genetic algorithm （IPGA） will be used in the optimization of products pipeline pump distribution program. The rotation speed of pump was regarded as the decision- making variable. The optimization results were formed into chromosomes by using integer coding solution. Corresponding genetic methods and adaptation function were designed, and data of the western pipeline was used for verifying and calculating. The result shows that IPGA is feasible on product pipeline optimization.