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在边坡稳定性分析中,常规方法诸如逐点扫描法受自身的局限,难以寻找到最危险的滑动面且易受人为因素的影响。将退火法与遗传算法相结合,既发挥了遗传算法强大的全局搜索能力,同时又利用退火法加强了遗传算法的局部求精能力。通过引入退火遗传算法,很好地解决了滑坡最危险滑动面的搜索问题,为边坡滑动面搜索提供一个新的解决方法,克服了常规方法的种种弊端。
In slope stability analysis, conventional methods, such as point-by-point scanning, suffer from their own limitations, making it hard to find the most dangerous slip surfaces and susceptible to human factors. The combination of annealing and genetic algorithms not only exerts the powerful global search ability of genetic algorithm, but also strengthens the local refinement ability of genetic algorithm by annealing method. By introducing annealing genetic algorithm, the search problem of the most dangerous slip surface of landslide can be well solved, providing a new solution for searching the slip surface of the slope and overcoming all the disadvantages of the conventional method.