Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm

Fuzzy-based heat and power hub models for cost-emission operation of an industrial consumer using compromise programming

(2018) Hossein Khodaei et al.   APPLIED THERMAL ENGINEERING

Optimal performance of fuel cell-CHP-battery based micro-grid under real-time energy management: An epsilon constraint method and fuzzy satisfying approach

(2018) Alireza Nouri et al.   ENERGY

A framework to expedite joint energy-reserve payment cost minimization using a custom-designed method based on Mixed Integer Genetic Algorithm

(2018) Melika Hamian et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Feasibility of particle swarm optimization and multiple regression for the prediction of an environmental issue of mine blasting

(2018) Hajar Eskandar et al.   ENGINEERING COMPUTATIONS

Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm

(2018) Katayoun Behzadafshar et al.   ENGINEERING COMPUTATIONS

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Application of MLP-ANN as a novel predictive method for prediction of the higher heating value of biomass in terms of ultimate analysis

(2018) Ayda Darvishan et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Development of GA-based models for simulating the ground vibration in mine blasting

(2018) Erlin Tian et al.   ENGINEERING WITH COMPUTERS

Feasibility of imperialist competitive algorithm to predict the surface settlement induced by tunneling

(2018) Behnam Tashayo et al.   ENGINEERING WITH COMPUTERS

A novel nonlinear modeling for the prediction of blast-induced airblast using a modified conjugate FR method

(2018) Behrooz Keshtegar et al.   MEASUREMENT

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

(2017) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Estimation of blast-induced ground vibration through a soft computing framework

(2017) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

(2017) Azam Shahnazar et al.   Environmental Earth Sciences

Analysis of influential factors for predicting the shear strength of a V-shaped angle shear connector in composite beams using an adaptive neuro-fuzzy technique

(2017) I. Mansouri et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Developing a new hybrid-AI model to predict blast-induced backbreak

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of blast-produced ground vibration using particle swarm optimization

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

Rock strength assessment based on regression tree technique

(2016) Maybelle Liang et al.   ENGINEERING WITH COMPUTERS

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting

(2016) Nazanin Fouladgar et al.   ENGINEERING WITH COMPUTERS

Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

(2016) R Shirani Faradonbeh et al.   International Journal of Environmental Science and Technology

Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

(2016) Danial Jahed Armaghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

(2016) Ali Toghroli et al.   JOURNAL OF INTELLIGENT MANUFACTURING

What controls the mechanical properties of shale rocks? – Part II: Brittleness

(2016) E. Rybacki et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Rock strength estimation: a PSO-based BP approach

(2016) E. Tonnizam Mohamad et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of ICA in approximating ground vibration resulting from mine blasting

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

An optimized ANN model based on genetic algorithm for predicting ripping production

(2016) Edy Tonnizam Mohamad et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Potential of adaptive neuro fuzzy inference system for evaluating the factors affecting steel-concrete composite beam's shear strength

(2016) M. Safa et al.   STEEL AND COMPOSITE STRUCTURES

Strength prediction of rotary brace damper using MLR and MARS

(2016) I. Mansouri et al.   STRUCTURAL ENGINEERING AND MECHANICS

Neuro-fuzzy technique to predict air-overpressure induced by blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles

(2015) Ehsan Momeni et al.   Earth Sciences Research Journal

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

What controls the mechanical properties of shale rocks? – Part I: Strength and Young's modulus

(2015) E. Rybacki et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Steel Rack Connections: Identification of Most Influential Factors and a Comparison of Stiffness Design Methods

(2015) S. N. R. Shah et al.   PLoS One

Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

(2014) Mohsen Hajihassani et al.   Bulletin of Engineering Geology and the Environment

Evaluation Methodology of Brittleness of Rock Based on Post-Peak Stress–Strain Curves

(2014) Fanzhen Meng et al.   ROCK MECHANICS AND ROCK ENGINEERING

An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups

(2014) Mohammad Mohammadhassani et al.   Smart Structures and Systems

Prediction of shear capacity of channel shear connectors using the ANFIS model

(2014) Ali Toghroli et al.   STEEL AND COMPOSITE STRUCTURES

A Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network

(2014) Aminaton Marto et al.   TheScientificWorldJOURNAL

A hybridized artificial neural network and imperialist competitive algorithm optimization approach for prediction of soil compaction in soil bin facility

(2013) Hamid Taghavifar et al.   MEASUREMENT

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

(2013) Mohammad Mohammadhassani et al.   STRUCTURAL ENGINEERING AND MECHANICS

Comparative analysis of intelligent algorithms to correlate strength and petrographic properties of some schistose rocks

(2011) T. N. Singh et al.   ENGINEERING WITH COMPUTERS