基于遗传算法的离心泵多目标优化  

Multi-objective Optimization of Centrifugal Pump Based on the GA

作　　者：唐卫卫[1] 吕新民[1] 薛子萱[1] 

机构地区：[1]西北农林科技大学机械与电子工程学院,陕西杨凌712100

出　　处：《农机化研究》2011年第4期212-214,218,共4页Journal of Agricultural Mechanization Research

基　　金：陕西省科技攻关项目(2003K03-G9-01)

摘　　要：建立了以离心泵效率最大、汽蚀余量最小和曲线无驼峰的多目标函数优化的数学模型,并利用Matlab遗传算法工具箱进行优化计算,取得了很好的结果。相比于传统的优化方法,Matlab的遗传算法工具箱能使求解过程简化和得到全局最优解,并且省去编程的时间,为多目标优化提供了一种新思路,具有广阔的应用前景。In the paper, a multi -objective function including maximum efficiency, minimum NPSH and a non -ca- mel- back H- Q function curve is established, and a reasonable result is obtained by using the Matlab GA -Toolbox. Comparing to the traditional optimization methods, Matlab GA -Toolbox can provide a solution which simply the solving progress and be inclined to get the global optimal solution. On the other hand, it makes programming which is time - consuming as unnecessary and provide a new idea for the multi - objective optimization. So it has a vast potential for future use.

关 键 词：离心泵 多目标优化 MATLAB遗传算法工具箱 全局最优解 

分 类 号：TH311[机械工程—机械制造及自动化]