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基于遗传算法的导管-气室系统参数优化研究
引用本文:高松竹,蒲家宁,雍歧卫,蒋明.基于遗传算法的导管-气室系统参数优化研究[J].后勤工程学院学报,2005,21(1):1-4.
作者姓名:高松竹  蒲家宁  雍歧卫  蒋明
作者单位:后勤工程学院,军事供油工程系,重庆,400016
基金项目:国家自然科学基金资助项目(编号50175108)
摘    要:导管-气室系统可以引发水力共振,提高脉冲射流的强度。影响水力共振的 主要因素有导管长度、导管内径、喷嘴出口内径、调制频率和气室初始容积等,采用搜寻的方 法无法获得最优解。遗传算法具有隐合并行性和全局解空间搜索的特点,利用遗传算法能 有效地对导管-气室系统的主要参数进行优化设计,获得最优解来指导实验装置的设计。

关 键 词:气室  脉冲射流  水力共振  遗传算法  优化
文章编号:1672-7843(2005)01-0001-04
修稿时间:2004年9月2日

Data Optimization Research of Pipe and Air Chamber System Based on Genetic Algorithm
GAO Song-zhu,PU Jia-ning,YONG Qi-wei,JIANG Ming.Data Optimization Research of Pipe and Air Chamber System Based on Genetic Algorithm[J].Journal of Logistical Engineering University,2005,21(1):1-4.
Authors:GAO Song-zhu  PU Jia-ning  YONG Qi-wei  JIANG Ming
Abstract:The system that is composed of pipe and air chamber is able to induce resonance, which will prompt the efficiency of pulsed jet. Many factors influence hydraulic resonance such as the length of pipe, inner diameter of pipe, inner diameter of outlet nozzle, modulate frequency and preliminary volume of air chamber etc. Using the hunting approach cant obtain the optimal solution. Genetic Algorithm has the characteristics of implying concurrency and searching in the whole solution space U sing Genetic Algorithm can effectively obtain the optimal solution of main data of pipe and air chamber system, and the optimal solution will provide the guidance for designing experimental facility.
Keywords:air chamber  pulsed jet  hydraulic resonance  genetic algorithm  optimize
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