Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate. - Jian Zhou 007; Yingui Qiu; Shuangli Zhu; Danial Jahed Armaghani; Chuanqi Li; Hoang Nguyen 001; Saffet Yagiz (Eng. Appl. Artif. Intell., 2021)

Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential. - Jian Zhou 007; Shuai Huang; Tao Zhou; Danial Jahed Armaghani; Yingui Qiu (Artif. Intell. Rev., 2022)

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration. - Yingui Qiu; Jian Zhou 007; Manoj Khandelwal; Haitao Yang; Peixi Yang; Chuanqi Li (Eng. Comput., 2022)

Performance evaluation of hybrid GA-SVM and GWO-SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation. - Jian Zhou 007; Shuai Huang; Mingzheng Wang; Yingui Qiu (Eng. Comput., 2022)

A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting. - Yong Dai; Manoj Khandelwal; Yingui Qiu; Jian Zhou 007; Masoud Monjezi; Peixi Yang (Neural Comput. Appl., 2022)

Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer. - Jian Zhou 007; Yulin Zhang; Chuanqi Li; Weixun Yong; Yingui Qiu; Kun Du; Shiming Wang (Earth Sci. Informatics, 2023)

State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting. - Jian Zhou 007; Yulin Zhang; Yingui Qiu (Artif. Intell. Rev., 2024)