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基于二阶段禁忌算法的边坡安全模型的识别
引用本文:陈廷伟,冯夏庭.基于二阶段禁忌算法的边坡安全模型的识别[J].岩土力学,2002,23(3):347-351.
作者姓名:陈廷伟  冯夏庭
作者单位:1. 东北大学,辽宁沈阳110004
2. 东北大学,辽宁沈阳110004;中国科学院武汉岩土力学研究所,湖北,武汉,430071
基金项目:高等学校优秀青年教师与科研奖励基金和霍英东教育基金会资助项目(71048)
摘    要:识别岩土力学经验模型的关键是如何寻找到一个全局最优解。禁忌虎法是一种寻找全局最优解的算法。针对常规禁忌算法处理连续问题时搜索范围小,对初始点的依赖性强等不足,对算法进行了改进,并将禁忌算法的离散化过程进行了修改,提出了二阶段禁忌算法。用该算法对圆弧和楔体破坏边坡数模型中的参数进行了搜索。结果表明,该方法是一种行之有效的全局优化算法。

关 键 词:禁忌算法  岩体边坡  经验模型  离散化  邻域
文章编号:1000-7598-(2002)03-0347-05
修稿时间:2001年6月12日

Identification of safety model of slopes based on a two-stage tabu search algorithm
CHEN Ting -wei ,FENG Xia-ting.Identification of safety model of slopes based on a two-stage tabu search algorithm[J].Rock and Soil Mechanics,2002,23(3):347-351.
Authors:CHEN Ting -wei  FENG Xia-ting
Institution:CHEN Ting -wei 1,FENG Xia-ting 1,2
Abstract:The key of recognition of empirical geomechanical models is how to seek and find an global optimal solution.Tabu search is just one of effective algorthms for this.Considering the disadvantages of the very small searching area of conventional Tabu search and strong dependence upon initialization points at dealing with continuous problems,an improved tabu search algorithm was proposed.The parameters in the safety factor models for circular and failure slopes were searched by using the proposed algorithm.The results were compared with those of the maximum likelihood estimation.The algorithm proved to be powerful.
Keywords:tabu search  rockmass slopes  empirical geomechanics model  data discretion  neighborhood
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