基于P系统优化算法的管内瞬变压力优化研究  

Hydraulic transient pressure optimization in pipelines based on P-system optimization algorithm

作　　者：高阳[1,2] 冯辅周[1] 张丽霞[1] 张红星 GAO Yang ZFENG Fu-zhou ZHANG Li-xia ZHANG Hong-xing(Dept. of Mechanical Engineering, Academy of Armored Force Engineering, Beijing 100072, China Dept. of Management Science and Engineering, Police Officer College of CAPF, Chengdu 610213, China Taiyuan Launching Base of Satellites, Taiyuan 036304, China)

机构地区：[1]装甲兵工程学院机械工程系,北京100072 [2]武警警官学院管理科学与工程系,成都610213 [3]太原卫星发射基地,太原036304

出　　处：《振动与冲击》2017年第11期183-187,214,共6页Journal of Vibration and Shock

基　　金：军队科研计划项目(2013WX05);国家自然科学基金(51205407)

摘　　要：针对复杂管网系统管内瞬变流计算耗时长,且计算结果占用存储空间严重,导致基于遗传算法的管内瞬变压力优化计算寻优效率极低的问题,对遗传算法进行了自适应改进和基于P系统计算模型的改造,以降低算法在寻优过程中调用瞬变流计算模型的次数。案例计算过程表明,算法改进后得到的P系统优化算法在保证寻优效果的基础上,显著提高了瞬变压力优化计算的寻优效率,使搜索时间相对原遗传算法降低了约80%,因而特别适用于复杂管网系统管内瞬变压力优化计算。For much low efficiency of hydraulic transientpressure optimization in pipelines based on GA due to complicated pipe networks’ hydraulic transient computing’s significant time and storage space consuming, GA is self-adapted and then modified by P-system computing model to deceasing the hydraulic transient computing frequency. Case optimizing process shows the new receiving P-system optimization algorithm can ensure the optimizing results and significantly improve the optimizing efficiency of hydraulic transient pressureoptimization in pipes, saving about 80% searching time comparing with original GA, therefore extremely suitable for complicated pipe networks’ hydraulic transient pressureoptimization.

关 键 词：瞬变压力优化 管网系统 遗传算法 P系统优化算法 

分 类 号：TV134.1[水利工程—水力学及河流动力学] TH113.1[机械工程—机械设计及理论]