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首页> 外文期刊>Journal of geotechnical and geoenvironmental engineering >Determination of the Critical Slip Surface Using Artificial Fish Swarms Algorithm
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Determination of the Critical Slip Surface Using Artificial Fish Swarms Algorithm

机译:用人工鱼群算法确定临界滑移面

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摘要

The writers have come across a difficult stability analysis problem where there are several "strong" local minima. Several well known heuristic global minimum methods fail to locate the global minimum for this case, and the writers finally adopt the artificial fish swarms algorithm to overcome this difficult problem. This optimization algorithm is demonstrated to be effective and efficient for normal problems. To illustrate the effectiveness of the proposed algorithm, three difficult examples are considered. The sensitivity of the proposed algorithm with respect to the parameters used for the global optimization algorithm will also be investigated in this paper.
机译:作者遇到了一个困难的稳定性分析问题,其中存在多个“强”局部最小值。几种众所周知的启发式全局最小值方法无法找到这种情况下的全局最小值,因此作者最终采用了人工鱼群算法来克服这一难题。事实证明,该优化算法对于正常问题是有效的。为了说明所提出算法的有效性,考虑了三个困难的例子。本文还将研究该算法相对于用于全局优化算法的参数的敏感性。

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