Machine Learning Approach to Develop a Novel Multi-Objective Optimization Method for Pavement Material Proportion

Machine Learning Approach to Develop a Novel Multi-Objective Optimization Method for Pavement Material Proportion

Asphalt mixture proportion design is one of the most important steps in asphalt pavement design and application. This study proposes a novel multi-objective particle swarm optimization (MOPSO) algorithm employing the Gaussian process regression (GPR)-based machine learning (ML) method for multi-vari...

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Bibliographic Details
Main Authors: Chunyu Liang, Xin Xu, Heping Chen, Wensheng Wang, Kunkun Zheng, Guojin Tan, Zhengwei Gu, Hao Zhang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
asphalt mixture
proportion optimization
particle swarm optimization
Gaussian process regression
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/2/835

Internet

https://www.mdpi.com/2076-3417/11/2/835

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