加速遺傳算法在邊坡穩(wěn)定分析中的應(yīng)用-資料下載頁
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【正文】 索空間的大小變化適應(yīng)能力、計算速度對全局優(yōu)化特性有很大的優(yōu)點，所得結(jié)果是令人滿意的。因此遺傳算法是在邊坡穩(wěn)定性分析中值得推廣的一種搜索最危險滑動面的優(yōu)化算法。參考文獻[1] Yang H Huang著. 土坡穩(wěn)定分析. 包承綱等譯[M] 北京:清華大學(xué)出版社,1998 117126.[2] 殷宗澤,郭志平,徐鴻江等. 條分法土坡穩(wěn)定分析計算程序(SLP)[A].見:姜弘道,趙光恒,向大潤等編,水工結(jié)構(gòu)工程與巖土工程的現(xiàn)代計算方法及程序[C] 南京:河海大學(xué)出版社,1992,343351.[3] 王正志,薄濤著. 進化計算[M]. 長沙:國防科技大學(xué)出版社,2000 26162[4] 金菊良,丁晶,魏一鳴. 加速遺傳算法在地下水位動態(tài)分析中的應(yīng)用[J]. 水文地質(zhì)工程地質(zhì),1999,(5)47Accelerating genetic algorithm for slope stability analysis Abstract: Based on the assumption of circular slip surface and an idea of genetic algorithm, a method that uses accelerating genetic algorithm to determine the most dangerous slip surface and the corresponding minimum safety factor is presented. It simulates genetic evolutionary process of organism and avoids local minimum, which is often obtained by traditional optimum method. The method has the properties of high precision, wide utilization and global optimization that have been verified by an engineering case.Key words: slope stability。 accelerating genetic algorithm。 most dangerous slip surface。 minimum safety factor[來源:論文天下論文網(wǎng)
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