基于混合遗传算法的矿井排水系统优化  

Optimization of Mine Drainage System Based on Hybrid Genetic Algorithm

作　　者：崔亮[1] 唐朝晖[1] 王迅[1] 杨赛强[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083

出　　处：《计算机工程》2012年第22期236-239,共4页Computer Engineering

基　　金：国家"863"计划基金资助项目(2009AA04Z124)

摘　　要：针对井下排水系统水泵开机的不确定性和不规律性造成耗电量过大的问题,提出一种以排水系统最小能耗为目标函数的优化调度模型,利用混合遗传算法寻找最优解。仿真结果表明,该方法能够有效避免遗传算法容易出现的早熟现象,提高局部寻优能力,具有较强的适用性。排水系统的平均节能效率达到6.5%以上。Aiming at the problem that start-stop scheme of the pumps is uncertain and irregular, which cause excessive power consumption. This paper proposes an optimal operation model whose objective function is the minimum energy consumption of the drainage system, using the hybrid genetic algorithm to find the optimal solution. Simulation results show that this method can effectively avoid the premature of genetic algorithm, and improve the local searching capability, as well as has strong applicability, and the average energy savin~ efficiency of the drainage svstem is above 6.5%.

关 键 词：排水系统 优化调度 混合遗传算法 早熟 节能 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]