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基于改进遗传算法的复杂泵系统优化调度研究

Optimal Deployment Study of Complex Pump System Based on Improved GA

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【作者】 熊晓明孙旋韦祖权

【Author】 XIONG Xiao-ming1,SUN Xuan2,WEI Zu-quan3(1.Guangxi Electric Power Industry Investigation Design and Research Institute,Nanning 530023;2.College of Electronic Information and Computer of Guilin University of Technology,Guilin 541004;3.Guangxi Yulin Water Conservancy and Electric Power Investigation Design and Research Institute,Yulin 537000)

【机构】 广西电力工业勘察设计研究院桂林工学院电子信息与计算机系广西玉林水利电力勘测设计研究院 南宁530023广西桂林541004广西玉林537000

【摘要】 文章根据复杂泵系统的特点和调度要求,建立了系统优化调度的模型。同时从改进遗传算法性能的角度出发,设计了专门的遗传算子,并采用了新的初始种群选择方法。最后,对由某复杂泵系统的监控系统数据库中所得数据应用遗传算法进行优化调度,计算结果显示此算法性能良好。

【Abstract】 This paper builds up a system optimal deployment model in accordance with the features of complex pump system and deployment requirements.It also designs specialized genetic operator based on improved GA performance and adopts new initial population selection method.Finally,it optimizes and deployment the data from the monitoring system data base of a certain complex pump system by employing GA,and the computation result shows that such algorithm has good performance.

【关键词】 遗传算法优化调度复杂泵系统
【Key words】 GAoptimal deploymentcomplex pump system
  • 【分类号】TV675
  • 【被引频次】2
  • 【下载频次】86
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