首页 | 本学科首页   官方微博 | 高级检索  
     

给水管网优化设计的混合遗传算法
引用本文:许仕荣 葛琳 周永潮. 给水管网优化设计的混合遗传算法[J]. 湖南大学学报(自然科学版), 2005, 32(3): 47-51
作者姓名:许仕荣 葛琳 周永潮
作者单位:湖南大学,土木工程学院,湖南,长沙,410082;湖南大学,土木工程学院,湖南,长沙,410082;湖南大学,土木工程学院,湖南,长沙,410082
基金项目:国家863/CZ-CIMS应用示范工程(863-511092)
摘    要:利用遗传算法全局优化和广义简约梯度法(GRG法)局部收敛速度快的特点,将两者有机结合,构造出一种混合遗传算法应用于新建环状给水管网的优化设计.同时针对遗传算法,采用了实数编码技术,基于扩大采样空间的随机采样、惩罚策略、算术交叉及动态变异技术.最后结合工程实例验证了混合算法的高效性。

关 键 词:管网优化设计  遗传算法  广义简约梯度法  混合遗传算法
文章编号:1000-2472(2005)03-0047-05

A Hybrid Genetic Algorithm for the Optimal Design of Water Supply Pipe Network
XU Shi-rong,GE Lin,ZHOU Yong-chao. A Hybrid Genetic Algorithm for the Optimal Design of Water Supply Pipe Network[J]. Journal of Hunan University(Naturnal Science), 2005, 32(3): 47-51
Authors:XU Shi-rong  GE Lin  ZHOU Yong-chao
Abstract:The advantages of global optimization of genetic algorithm and the fast searching velocity of generalized reduction gradient (GRG) method were combined to construct an efficient hybrid genetic algorithm. This algorithm was used in the optimal design of new water supply networks. Meanwhile, many techniques, such as the real number encoding technique, the random sampling based on expanding the research space, the punishing tactics, the arithmetical crossover and dynamic mutation technique, were adopted for the genetic algorithm. Lastly, the high efficiency of the hybrid genetic algorithm was tested in engineering projects.
Keywords:optimal design of water supply pipe network  genetic algorithm  GRG method  hybrid genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《湖南大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《湖南大学学报(自然科学版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号