小生境与遗传模拟退火耦合算法在岩质边坡滑动面搜索中的应用  

Application of genetic simulated annealing algorithm coupled with niche to search rock slope's critical slip surface

作　　者：徐佳[1] 张勤[1] 吴继敏[1] 

机构地区：[1]河海大学土木工程学院,江苏南京210098

出　　处：《水利水电科技进展》2008年第6期28-31,共4页Advances in Science and Technology of Water Resources

基　　金：国家自然科学基金(50539110);国家科技支撑计划(2006BAB04A09)

摘　　要：将小生境思想与遗传模拟退火算法相结合,应用于岩质边坡滑动面的搜索中。在实现了边坡结构面模拟的基础上,小生境与遗传模拟退火耦合算法可以顺利搜索出边坡由结构面与岩桥组合形成的潜在最危险滑动面。与其他智能优化搜索算法相比,该耦合算法具有收敛速度快、可找到搜索函数所有全局最优解、参数依赖性小等优点。工程应用实例表明该耦合算法在岩质边坡滑动面搜索中能取得令人满意的结果。Genetic simulated annealing algorithm coupled with niche is applied to search rock slope＇s critical slip surface in this study. Based on the slope structural plane simulation, the genetic simulated annealing algorithm coupled with niche can search the critical slip composed of the joints and rock-bridges. Compared with other intelligent algorithms, it has the merit of faster convergence rates and can find all extremes in a short time without strict requests for parameters.

关 键 词：遗传模拟退火算法 小生境思想 岩质边坡 边坡滑动面 

分 类 号：P642.22[天文地球—工程地质学]