基于混合编码遗传算法的机压微灌干管管网优化  

Optimization of pumping micro-irrigation main pipe based on genetic algorithms with hybrid coding

作　　者：王新坤[1] 

机构地区：[1]江苏大学流体机械工程技术研究中心,江苏镇江212013

出　　处：《西北农林科技大学学报（自然科学版）》2009年第9期209-213,共5页Journal of Northwest A&F University(Natural Science Edition)

基　　金：江苏省自然科学基金项目(BK2008246);江苏省科技支撑计划项目(BE2008381);江苏大学校科研基金项目(08JDG002)

摘　　要：【目的】根据微灌干管管网的布置及运行特性,提出一种方便、简捷,适用于大规模机压微灌管网优化设计的算法模型与方法。【方法】以年费用为目标函数,以标准管径和水泵扬程为决策变量,建立优化模型,采用模拟退火方法处理约束条件,设计一种混合编码方式,应用遗传算法进行优化计算。【结果】建立的模型和算法在求解机压微灌管网优化问题上,具有良好的优化性能和较高的求解效率。【结论】提出的模型和算法优化变量少,简单易用,求解效率高,程序的通用性强,计算精度能够满足微灌管网设计的要求。[Objective] According to the layout and running characteristics of micro-irrigation main pipe,a simple and reliable algorithms model and method good for designing the large scale pumping microirrigation main pipe was given. [Method] This paper, taking as the objective function, standard diameter and pump head as decision variable, established an optimum model by adoptin the annealing algorithm to handle constraint condition and the genetic algorithms with hybrid coding was used to calculate for optimum design. [Result] Simulation results indicate that the model and algorithms have good performance for optimizing the pumping micro-irrigation pipe network. [Conclusion] The model and algorithms provided in this paper has the advantages of fewer decision variables, simpler and easier-to-use, high solution efficiency and universality, and its calculation accuracy is able to fulfill the design demand of micro-irrigation main pipe.

关 键 词：微灌 机压管网 优化模型 混合编码 遗传算法 

分 类 号：S274.2[农业科学—农业水土工程]