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单纯形—模拟退火混合算法反求水文地质参数及其并行求解 被引量:11

Hybrid Simplex—Simulated Annealing Method for Solving Hydrogeologic Parameters and Its Parallel Implementation
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摘要 本文利用单纯形法局部搜索速度快和模拟退火算法全局寻优的特点,同时为了克服各自算法的弊病,提出采用单纯形—模拟退火混合算法(SMSA)进行水文地质逆问题的求解。论文详细描述了SMSA算法的具体操作算子的实现,并将该算法应用于一个大型水源地的地下水模拟反演。计算结果表明,SMSA算法在水文地质参数反演计算具有求解速度快,精度高的特点,而且易于实现并行运算。 The local search methods such as Simplex method are quite efficient, but not very robust. That is, they nor- mally converge in a small number of iterations, but often fall into local minima. On the other hand, modern heuristics such as Simulated Annealing are very robust, but unacceptably expensive. On the basis of analysis of the ad- vantage and disadvantage of Simplex method and Simulated Annealing algorithm, we present a hybrid method named SMSA aimed at coupling the efficiency of Simplex method and the robustness of Simulated Annealing for sol- ving the groundwater inverse problem. In this paper, we introduce the realization of the SMSA algorith′s operators and apply it to the inverse simulation of a large water source area. As shown by the calculation results, the SMSA algorithm has the strongpoint of high precision, fast speed. Furthermore, this SMSA algorithm is easy to parallelize.
出处 《地质论评》 CAS CSCD 北大核心 2007年第1期92-97,共6页 Geological Review
关键词 模拟退火算法 单纯形法 水文地质参数 逆问题 并行求解 Simulated Annealing Simplex method Hydrogeologic parameters Inverse problem Parallel im-plementation
作者简介 江思珉,男,1980年生。现为南京大学地球科学系水文学与水资源专业博士研究生。通讯地址:210093,南京大学地球科学系;Email:jiangsimin@nju.org.cn;njujiangsimin@163.com。
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  • 1徐振章,胡志荣,唐焕文,秦学志,蔺玉秋,佟铁汉,蒋志刚.稠油油层热物性参数计算模型[J].特种油气藏,1995,2(1):13-18. 被引量:2
  • 2罗亚中,唐国金,周黎妮.一般两层非线性规划问题的模拟退火全局优化[J].系统工程与电子技术,2004,26(12):1922-1926. 被引量:8
  • 3李晓莉,雷功炎.关于随机优化算法的几点讨论[J].计算数学,1996,18(4):435-441. 被引量:3
  • 4周树荃 梁维泰 等.有限元结构分析并行计算[M].北京:科学出版社,1999..
  • 5Srinivas M, Patnaik L M. Adaptive probabilities of crossover and mutation in genetic algorithms [J ].IEEE Transactions on Systems, Man and Cybernetics, 1994,24(4): 656~667.
  • 6Michalewicz Z, Janikow C Z, Krawczyk J B. A modified genetic algorithm for optimal control problems[J].Computers Math Applic, 1992,23(12):83~94.
  • 7The Message Passing Interface (MPI) standard, http://www-unix.mcs.anl.gov/mpi/.
  • 8Parallel Matrix Product using MPI. http://ce. sharif. edu/- m_ami-ri/.
  • 9腾春贤 李智慧.两层规划的理论与应用[M].北京:科学出版社,2002..
  • 10Bard J F.An Algorithm for Solving the General Bilevel Programming Problem[J].Mathematical of Operations Research,1983, 8(2): 262-272.

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