.png){kind=icon}
返回
Slope stability analyzing using recent swarm intelligence techniques
.png){kind=icon}
PRE
AI
DOI：10.1002/nag.2308.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Slope stability analysis of soil with a weak layer sandwiched between two strong layers is considered as a complex geotechnical problem. In this problem, the objective function is non-convex and discontinuous with the presence of multiple strong local minima. Classical optimization techniques fail to converge to a valid solution unless a proper initial trial is adopted. Even though many new optimization algorithms have emerged, they have not been applied to geotechnical problems yet. In the present study, some recent swarm intelligence algorithms are adopted for some complicated example of slope stability problems and benchmarked with the traditional particle swarm optimization algorithm. From the results, it seems the levy flight krill herd algorithm is the most efficient method over proposed algorithms for this kind of problem. Copyright (C) 2014 John Wiley & Sons, Ltd.
Keyword:
slope stability analyzing
swarm intelligence
Morgenstern and Price method
non-circular slip surface
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
3.3K
被引数:
9.6K
机构
引用论文
.png){kind=icon}
Utilization of a Tactical Grade FOG-Based Inertial Measurement Unit in
Real-Time Downhole Surveying
PREAI
分享收藏Firefly Algorithm for solving non-convex economic dispatch problems with valve loading effect求解带阀门加载效应的非凸经济调度问题的萤火虫算法
PREAI
分享收藏分享收藏
查看更多内容