| 协同进化遗传算法在减压阀优化配置中的应用 |
| |
| 引用本文： | 黄钢,金涛,周泽渊.协同进化遗传算法在减压阀优化配置中的应用[J].计算机与数字工程,2014(1):36-39. |
| |
| 作者姓名： | 黄钢 金涛 周泽渊 |
| |
| 作者单位： | [1]92246部队,上海201900 [2]海军工程大学动力工程学院,武汉430033 |
| |
| 摘 要： | 漏损管理中,为了取得更好的经济效益和控制效果,需要将减压阀配置在最优的位置及最优的开度.针对供水管网漏损管理问题,研究了减压阀优化配置问题,提出了减压阀的漏损管理优化控制数学模型,应用协同进化遗传算法,对算例管网进行了数值仿真,验证了方法的有效性.
|
| 关 键 词： | 管道运输 漏损管理 优化控制 协同进化遗传算法 |
Application of CO-Evolutionary Genetic Algorithm in Optimal Pressure Reducing Valve Placement |
| |
| HUANG Gang,JIN Tao,ZHOU Zeyuan.Application of CO-Evolutionary Genetic Algorithm in Optimal Pressure Reducing Valve Placement[J].Computer and Digital Engineering,2014(1):36-39. |
| |
| Authors: | HUANG Gang JIN Tao ZHOU Zeyuan |
| |
| Affiliation: | 1.No.92246 Troops of PLA, Shanghai 201900; 2.School of Power Engineering, Naval University of Engineering, Wuhan 430033;) |
| |
| Abstract: | In leakage control problems,pressure reducing valve should be placed at optimal location and optimal opening in order to get better economy and control effect.Aiming at leakage management problems,pressure reducing valve optimal is studied.Mathematical model is presented for leakage management optimal control,and numerical simulation is carried out based on CO-evolutionary genetic algorithm.The results demonstrate the effectiveness of the method proposed in this paper. |
| |
| Keywords: | pipe transportation leakage management optimization control CO-evolutionary genetic algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
