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直接搜索-模拟退火法在水污染控制系统规划中的应用
引用本文:申玮,郭宗楼,刘国华.直接搜索-模拟退火法在水污染控制系统规划中的应用[J].水科学进展,2004,15(4):445-447.
作者姓名:申玮  郭宗楼  刘国华
作者单位:1.浙江大学生物系统工程与食品科学学院, 浙江, 杭州, 310027;
基金项目:国家863计划资助项目(2001AA242121),教育部博士点基金资助项目(1999049306)
摘    要:在研究新近发展起来的模拟退火算法及其各种改进算法的基础上,提出并构造了一种水污染控制规划的以记忆为基础的直接搜索 模拟退火算法(DSA),并将其应用于新疆乌鲁木齐水磨河排放口最优化处理规划中,在满足水质要求的同时,得到了更优的全局最优解。DSA具有编程简单、易实现、运算效率高、运用方便、结果稳定等优点,为水污染控制系统规划提供了一个新的方法,具有很好的应用前景。

关 键 词:直接搜索模拟退火算法    水污染控制    最优规划
文章编号:1001-6791(2004)04-0445-03
收稿时间:2003-04-25
修稿时间:2003年4月25日

Direct search-simulated annealing algorithm in the optimal planning of water pollution control system
SHEN Wei,GUO Zong-lou,LIU Guo-hua.Direct search-simulated annealing algorithm in the optimal planning of water pollution control system[J].Advances in Water Science,2004,15(4):445-447.
Authors:SHEN Wei  GUO Zong-lou  LIU Guo-hua
Institution:1.College of Biosystems Engineering and Food Sciences, Zhejiang University, Hangzhou 310027, China;2.College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310027, China
Abstract:A direct search-simulated annealing (DSA) which is memory-based is suggested and constituted to solve the optimum planning model. The algorithm is applied to the optimum planning for the waste treatment system of Urumqi, Xinjiang.Results show an improved performance in finding the global minimum when water quality requirements have been fulfilled. The DSA has been shown to be fast, efficient and stable. And the program is simple.It provides a new way to the optimal planning of water pollution control system and has great application prospects.
Keywords:direct search-simulated annealing  water pollution control system  optimal planning
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