基于P系统优化算法的管内瞬变压力优化研究

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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。

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	高阳1
	2 冯辅周1 张丽霞1 张红星3

关键词 ：瞬变压力优化, 管网系统, 遗传算法, P系统优化算法

Abstract：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.

Key words： hydraulic transient pressureoptimization pipe network GA P-system optimization algorithm

收稿日期: 2016-02-19 出版日期: 2017-05-25

引用本文:

高阳1，2 冯辅周1 张丽霞1 张红星3. 基于P系统优化算法的管内瞬变压力优化研究[J]. 振动与冲击, 2017, 36(11): 183-187.
GAO Yang1，2FENG Fu-zhou1 ZHANG Li-xia1ZHANG Hong-xing3. Hydraulic Transient PressureOptimization in Pipelines Based on P system Optimization Algorithm. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(11): 183-187.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2017/V36/I11/183

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