Estimation of soil mechanical resistance parameter by using particle swarm optimization, genetic algorithm and multiple regression methods
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- 作者：Mehdi Hosseini ; mehdi.h.2009@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Seyed Alireza Movahedi Naeini ; Amir Ahmad Dehghani ; Yones Khaledian
- 关键词：Soil mechanical resistance ; Multiple regression (MR) ; Genetic algorithm (GA) ; Particle swarm optimization (PSO)
- 刊名：Soil & Tillage Research
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：157
- 期：Complete
- 页码：32-42
- 全文大小：1158 K
文摘
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Determination of mechanical resistance in soils is difficult using penetrometer in fine textured.
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We tried to explore PSO, GA and MR to estimate mechanical resistance.
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The results revealed that PSO and GA models are promising approach for the estimation than MR model.
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The results also show that PSO model can estimate soil mechanical resistance more accurate than GA and MR.