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The use of the simple genetic algorithm in finding the critical factor of safety in slope stability analysis

机译:简单遗传算法在边坡稳定分析中寻找安全关键因素的应用

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摘要

A simple genetic algorithm (SGA) is applied to the search for the minimum factor of safety in slope stability analysis. The method is shown to be superior to simple optimisation routines, which can find false minima, and to 'brute force' approaches, which require the analysis of a very large number of possibilities. An approach to implementing SGA is defined and refined, indicating principles which may be used in applying the method to other engineering problems.
机译:一种简单的遗传算法(SGA)被用于寻找边坡稳定性分析中的最小安全系数。事实证明,该方法优于简单的优化例程(可以找到错误的最小值)和“蛮力”方法,后者需要分析大量可能性。定义和完善了实现SGA的方法,指出了将方法应用于其他工程问题时可以使用的原理。

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