Open Access

ARTICLE

An Optimized System of Random Forest Model by Global Harmony Search with Generalized Opposition-Based Learning for Forecasting TBM Advance Rate

Yingui Qiu¹, Shuai Huang¹, Danial Jahed Armaghani², Biswajeet Pradhan³, Annan Zhou⁴, Jian Zhou^1,*

1 School of Resources and Safety Engineering, Central South University, Changsha, 410083, China
2 School of Civil and Environmental Engineering, University of Technology Sydney, New South Wales, Australia
3 Centre for Advanced Modelling and Geospatial Information Systems, School of Civil and Environmental Engineering, Faculty of Engineering and Information Technology, University of Technology Sydney, New South Wales, Australia
4 Civil and Infrastructure Engineering Discipline, School of Engineering, Royal Melbourne Institute of Technology (RMIT), Melbourne, Victoria, 3001, Australia

* Corresponding Authors: Jian Zhou. Email: ,