Application of PSO to develop a powerful equation for prediction of flyrock due to blasting. - Mahdi Hasanipanah; Danial Jahed Armaghani; Hassan Bakhshandeh Amnieh; Muhd Zaimi Abd. Majid; Mahmood M. D. Tahir (Neural Comput. Appl., 2017)

Performance prediction of tunnel boring machine through developing a gene expression programming equation. - Danial Jahed Armaghani; Roohollah Shirani Faradonbeh; Ehsan Momeni; Ahmad Fahimifar; Mahmood M. D. Tahir (Eng. Comput., 2018)

Airblast prediction through a hybrid genetic algorithm-ANN model. - Danial Jahed Armaghani; Mahdi Hasanipanah; Amir Mahdiyar; Muhd Zaimi Abd. Majid; Hassan Bakhshandeh Amnieh; Mahmood M. D. Tahir (Neural Comput. Appl., 2018)

Improving Performance of Retaining Walls Under Dynamic Conditions Developing an Optimized ANN Based on Ant Colony Optimization Technique. - Chuanhua Xu; Behrouz Gordan; Mohammadreza Koopialipoor; Danial Jahed Armaghani; Mahmood M. D. Tahir; Xiliang Zhang (IEEE Access, 2019)

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling. - Wusi Chen; Manoj Khandelwal; Bhatawdekar Ramesh Murlidhar; Dieu Tien Bui; Mahmood M. D. Tahir; Javad Katebi (Eng. Comput., 2020)

Neuro-genetic, neuro-imperialism and genetic programing models in predicting ultimate bearing capacity of pile. - Wusi Chen; Payam Sarir; Xuan-Nam Bui; Hoang Nguyen 001; Mahmood M. D. Tahir; Danial Jahed Armaghani (Eng. Comput., 2020)

A novel intelligent approach to simulate the blast-induced flyrock based on RFNN combined with PSO. - P. T. Kalaivaani; T. Akila; Mahmood M. D. Tahir; Munir Ahmed; Aravindhan Surendar (Eng. Comput., 2020)

A new methodology for optimization and prediction of rate of penetration during drilling operations. - Yanru Zhao; Amin Noorbakhsh; Mohammadreza Koopialipoor; Aydin Azizi; Mahmood M. D. Tahir (Eng. Comput., 2020)

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network. - Jian Zhou 007; Nasim Aghili; Ebrahim Noroozi Ghaleini; Dieu Tien Bui; Mahmood M. D. Tahir; Mohammadreza Koopialipoor (Eng. Comput., 2020)

A new design of evolutionary hybrid optimization of SVR model in predicting the blast-induced ground vibration. - Wusi Chen; Mahdi Hasanipanah; Hima Nikafshan Rad; Danial Jahed Armaghani; Mahmood M. D. Tahir (Eng. Comput., 2021)

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting. - Hongquan Guo; Jian Zhou 007; Mohammadreza Koopialipoor; Danial Jahed Armaghani; Mahmood M. D. Tahir (Eng. Comput., 2021)

GA-SVR: a novel hybrid data-driven model to simulate vertical load capacity of driven piles. - Zhenyan Luo; Mahdi Hasanipanah; Hassan Bakhshandeh Amnieh; Kathirvel Brindhadevi; Mahmood M. D. Tahir (Eng. Comput., 2021)

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns. - Payam Sarir; Jun Chen; Panagiotis G. Asteris; Danial Jahed Armaghani; Mahmood M. D. Tahir (Eng. Comput., 2021)

Applying dual-tree complex discrete wavelet transform and gamma modulating function for simulation of ground motions. - Reza Sharbati; Faramarz Khoshnoudian; Mohammadreza Koopialipoor; Mahmood M. D. Tahir (Eng. Comput., 2021)

Applying a meta-heuristic algorithm to predict and optimize compressive strength of concrete samples. - Lei Sun; Mohammadreza Koopialipoor; Danial Jahed Armaghani; Reza Tarinejad; Mahmood M. D. Tahir (Eng. Comput., 2021)

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles. - Weixun Yong; Jian Zhou 007; Danial Jahed Armaghani; Mahmood M. D. Tahir; Reza Tarinejad; Binh Thai Pham; Van Van Huynh (Eng. Comput., 2021)

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm. - Jian Zhou 007; Hongquan Guo; Mohammadreza Koopialipoor; Danial Jahed Armaghani; Mahmood M. D. Tahir (Eng. Comput., 2021)

A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass. - Zimu Li; Behnam Yazdani Bejarbaneh; Panagiotis G. Asteris; Mohammadreza Koopialipoor; Danial Jahed Armaghani; Mahmood M. D. Tahir (Soft Comput., 2021)