Application of K-PSO Clustering Algorithm and Game Theory in Rock Mass Quality Evaluation of Maji Hydropower Station

Application of K-PSO Clustering Algorithm and Game Theory in Rock Mass Quality Evaluation of Maji Hydropower Station

In this study, the K-means algorithm based on particle swarm optimization (K-PSO) and game theory are introduced to establish the quality evaluation model of a rock mass. Five evaluation factors were considered, i.e., uniaxial saturated compressive strength of rock, discontinuity spacing, acoustic v...

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Bibliographic Details
Main Authors: Yunkai Ruan, Jinzi Chen, Zhongmou Fan, Tanhua Wang, Jianguo Mu, Ranran Huo, Wei Huang, Weicheng Liu, Yunjian Li, Yunqiang Sun
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
K-PSO
rock mass quality classification
entropy method
the weighted least-square method
clustering model
Online Access:https://www.mdpi.com/2076-3417/13/14/8467

Internet

https://www.mdpi.com/2076-3417/13/14/8467

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