Optimization of the Critical Slip Surface of Three-Dimensional Slope by Using an Improved Genetic Algorithm-Reference-Cited by-同舟云学术

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Optimization of the Critical Slip Surface of Three-Dimensional Slope by Using an Improved Genetic Algorithm

Published:2020-08 Issue:8 Volume:20 Page:04020120
ISSN:1532-3641
Container-title:International Journal of Geomechanics
language:en
Short-container-title:Int. J. Geomech.

Author:

Zhou X. P.¹,Huang X. C.²,Zhao X. F.³

Affiliation:

1. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing Univ., Chongqing 400045, P.R. China (corresponding author).

2. School of Civil Engineering, Hunan Univ. of Science and Technology, Xiangtan 411201, P.R. China.

3. Key Laboratory of New Technology for Construction of Cities in Mountain Area, Chongqing Univ., Chongqing 400045, P.R. China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Soil Science

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29GM.1943-5622.0001747

Reference35 articles.

1. Practice of Searching a Noncircular Critical Slip Surface in a Slope with Soil Variability

2. Locating Global Critical Slip Surface Using the Morgenstern-Price Method and Optimization Technique

3. Determination of the critical slip surface in slope stability computations

4. Performance evaluation of GIS-based new ensemble data mining techniques of adaptive neuro-fuzzy inference system (ANFIS) with genetic algorithm (GA), differential evolution (DE), and particle swarm optimization (PSO) for landslide spatial modeling;Chen W.;Catena,2017

5. Performance studies on six heuristic global optimization methods in the location of critical slip surface

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