Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014, Article ID 643715, 11 pages
http://dx.doi.org/10.1155/2014/643715
Research Article

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

1Department of Geotechnics and Transportation, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia
2Construction Research Alliance, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia
3Department of Structures and Materials, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia

Received 18 April 2014; Revised 9 June 2014; Accepted 30 June 2014; Published 22 July 2014

Academic Editor: Laszlo Koczy

Copyright © 2014 Aminaton Marto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [41 citations]

The following is the list of published articles that have cited the current article.

  • Amir Saghatforoush, Masoud Monjezi, Roohollah Shirani Faradonbeh, and Danial Jahed Armaghani, “Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting,” Engineering with Computers, 2015. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Mohsen Hajihassani, Houman Sohaei, Edy Tonnizam Mohamad, Aminaton Marto, Hossein Motaghedi, and Mohammad Reza Moghaddam, “Neuro-fuzzy technique to predict air-overpressure induced by blasting,” Arabian Journal of Geosciences, 2015. View at Publisher · View at Google Scholar
  • Samira Shams, Masoud Monjezi, Vahid Johari Majd, and Danial Jahed Armaghani, “Application of fuzzy inference system for prediction of rock fragmentation induced by blasting,” Arabian Journal of Geosciences, 2015. View at Publisher · View at Google Scholar
  • Mohsen Hajihassani, Danial Jahed Armaghani, Masoud Monjezi, Edy Tonnizam Mohamad, and Aminaton Marto, “Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach,” Environmental Earth Sciences, 2015. View at Publisher · View at Google Scholar
  • Behrouz Gordan, Danial Jahed Armaghani, Mohsen Hajihassani, and Masoud Monjezi, “Prediction of seismic slope stability through combination of particle swarm optimization and neural network,” Engineering with Computers, vol. 32, no. 1, pp. 85–97, 2015. View at Publisher · View at Google Scholar
  • Ehsan Momeni, Mogana Sundaram Narayanasamy, Danial Jahed Armaghani, Edy Tonnizam Mohamad, and Mohd For Mohd Amin, “An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite,” Bulletin of Engineering Geology and the Environment, vol. 74, no. 4, pp. 1301–1319, 2015. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Mohsen Hajihassani, Masoud Monjezi, Edy Tonnizam Mohamad, Aminaton Marto, and Mohammad Reza Moghaddam, “Application of two intelligent systems in predicting environmental impacts of quarry blasting,” Arabian Journal Of Geosciences, vol. 8, no. 11, pp. 9647–9665, 2015. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Mohsen Hajihassani, Aminaton Marto, Roohollah Shirani Faradonbeh, and Edy Tonnizam Mohamad, “Prediction of blast-induced air overpressure: a hybrid AI-based predictive model,” Environmental Monitoring and Assessment, vol. 187, no. 11, 2015. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Raja Shahrom Nizam Shah Bin Raja Shoib, Koohyar Faizi, and Ahmad Safuan A. Rashid, “Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles,” Neural Computing and Applications, vol. 28, no. 2, pp. 391–405, 2015. View at Publisher · View at Google Scholar
  • Roohollah Shirani Faradonbeh, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, and Edy Tonnizam Mohamad, “Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm,” Neural Computing and Applications, 2016. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Amir Mahdiyar, Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Manoj Khandelwal, and Hassan Bakhshandeh Amnieh, “Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting,” Rock Mechanics and Rock Engineering, 2016. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Mohd For Mohd Amin, Saffet Yagiz, Roohollah Shirani Faradonbeh, and Rini Asnida Abdullah, “Prediction of the uniaxial compressive strength of sandstone using various modeling techniques,” International Journal of Rock Mechanics and Mining Sciences, vol. 85, pp. 174–186, 2016. View at Publisher · View at Google Scholar
  • Mahdi Hasanipanah, Danial Jahed Armaghani, Masoud Monjezi, and Samira Shams, “Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system,” Environmental Earth Sciences, vol. 75, no. 9, 2016. View at Publisher · View at Google Scholar
  • Roohollah Shirani Faradonbeh, Danial Jahed Armaghani, and Masoud Monjezi, “Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique,” Bulletin of Engineering Geology and the Environment, 2016. View at Publisher · View at Google Scholar
  • Maryam Amiri, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, and Leyli Mohammad Khanli, “A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure,” Engineering with Computers, vol. 32, no. 4, pp. 631–644, 2016. View at Publisher · View at Google Scholar
  • Mahdi Hasanipanah, Roohollah Shirani Faradonbeh, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, and Manoj Khandelwal, “Development of a precise model for prediction of blast-induced flyrock using regression tree technique,” Environmental Earth Sciences, vol. 76, no. 1, 2016. View at Publisher · View at Google Scholar
  • E. Bakhtavar, H. Nourizadeh, and A. A. Sahebi, “Toward predicting blast-induced flyrock: a hybrid dimensional analysis fuzzy inference system,” International Journal of Environmental Science and Technology, vol. 14, no. 4, pp. 717–728, 2016. View at Publisher · View at Google Scholar
  • Roohollah Shirani Faradonbeh, Danial Jahed Armaghani, Masoud Monjezi, and Edy Tonnizam Mohamad, “Genetic programming and gene expression programming for flyrock assessment due to mine blasting,” International Journal of Rock Mechanics and Mining Sciences, vol. 88, pp. 254–264, 2016. View at Publisher · View at Google Scholar
  • D. Jahed Armaghani, E. Tonnizam Mohamad, M. Hajihassani, S. V. Alavi Nezhad Khalil Abad, A. Marto, and M. R. Moghaddam, “Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods,” Engineering With Computers, vol. 32, no. 1, pp. 109–121, 2016. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Mahdi Hasanipanah, and Edy Tonnizam Mohamad, “A combination of the ICA-ANN model to predict air-overpressure resulting from blasting,” Engineering With Computers, vol. 32, no. 1, pp. 155–171, 2016. View at Publisher · View at Google Scholar
  • Isham Alzoubi, Mahmoud Delavar, Farhad Mirzaei, and Babak Nadjar Arrabi, “Integrating artificial neural network and imperialist competitive algorithm (ICA), to predict the energy consumption for land leveling,” International Journal of Energy Sector Management, 2017. View at Publisher · View at Google Scholar
  • Parvin Faraji Asl, Masoud Monjezi, Jafar Khademi Hamidi, and Danial Jahed Armaghani, “Optimization of flyrock and rock fragmentation in the Tajareh limestone mine using metaheuristics method of firefly algorithm,” Engineering with Computers, 2017. View at Publisher · View at Google Scholar
  • Manoj Khandelwal, Ahmad Fahimifar, Roohollah Shirani Faradonbeh, Amir Mahdiyar, Danial Jahed Armaghani, and Singh, “An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals,” Environmental Earth Sciences, vol. 76, no. 11, 2017. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Edy Tonnizam Mohamad, Mogana Sundaram Narayanasamy, Nobuya Narita, and Saffet Yagiz, “Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition,” Tunnelling and Underground Space Technology, vol. 63, pp. 29–43, 2017. View at Publisher · View at Google Scholar
  • Katayoun Behzadafshar, Mehdi Esfandi Sarafraz, Mahdi Hasanipanah, S. Farid F. Mojtahedi, and M. M. Tahir, “Proposing a new model to approximate the elasticity modulus of granite rock samples based on laboratory tests results,” Bulletin of Engineering Geology and the Environment, 2017. View at Publisher · View at Google Scholar
  • Mahdi Hasanipanah, Muhd Zaimi Abd Majid, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, and Mahmood M. D. Tahir, “Application of PSO to develop a powerful equation for prediction of flyrock due to blasting,” Neural Computing and Applications, vol. 28, pp. 1043–1050, 2017. View at Publisher · View at Google Scholar
  • Khosro Sayevand, Hossein Arab, and Saeid Bagheri Golzar, “Development of imperialist competitive algorithm in predicting the particle size distribution after mine blasting,” Engineering with Computers, 2017. View at Publisher · View at Google Scholar
  • Hossein Moayedi, and Danial Jahed Armaghani, “Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil,” Engineering with Computers, 2017. View at Publisher · View at Google Scholar
  • Mansour Mosallanezhad, and Hossein Moayedi, “Developing hybrid artificial neural network model for predicting uplift resistance of screw piles,” Arabian Journal of Geosciences, vol. 10, no. 22, 2017. View at Publisher · View at Google Scholar
  • Shuai Zhang, Yangbing Xu, Zhinan Yu, Wenyu Zhang, and Dejian Yu, “Combining Extended Imperialist Competitive Algorithm with a Genetic Algorithm to Solve the Distributed Integration of Process Planning and Scheduling Problem,” Mathematical Problems in Engineering, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  • Mohammad Reza Moghaddasi, and Majid Noorian-Bidgoli, “ICA-ANN, ANN and multiple regression models for prediction of surface settlement caused by tunneling,” Tunnelling and Underground Space Technology, vol. 79, pp. 197–209, 2018. View at Publisher · View at Google Scholar
  • Behnam Tashayo, Katayoun Behzadafshar, Mehran Soltani Tehrani, Hamed Afkhami Banayem, Mir Heydar Hashemi, and Sare Sadat Taghavi Nezhad, “Feasibility of imperialist competitive algorithm to predict the surface settlement induced by tunneling,” Engineering with Computers, 2018. View at Publisher · View at Google Scholar
  • Saha Dauji, and Kapilesh Bhargava, “Neural Estimation of Bond Strength Degradation in Concrete Affected by Reinforcement Corrosion,” INAE Letters, 2018. View at Publisher · View at Google Scholar
  • Farhad Mirzaei, Mahmoud Delavar, Isham Alzoubi, and Babak Nadjar Arrabi, “Modeling and predict environmental indicators for land leveling using adaptive neuro-fuzzy inference system (ANFIS), and regression,” International Journal of Energy Sector Management, 2018. View at Publisher · View at Google Scholar
  • Mohammadreza Koopialipoor, Danial Jahed Armaghani, Ahmadreza Hedayat, Aminaton Marto, and Behrouz Gordan, “Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions,” Soft Computing, 2018. View at Publisher · View at Google Scholar
  • Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Mahdi Hasanipanah, and Edy Tonnizam Mohamad, “Feasibility of ICA in approximating ground vibration resulting from mine blasting,” Neural Computing and Applications, vol. 29, no. 9, pp. 457–465, 2018. View at Publisher · View at Google Scholar
  • Navdeep Kumar, Balmukund Mishra, and Vikram Bali, “A Novel Approach for Blast-Induced Fly Rock Prediction Based on Particle Swarm Optimization and Artificial Neural Network,” Proceedings of International Conference on Recent Advancement on Computer and Communication, vol. 34, pp. 19–27, 2018. View at Publisher · View at Google Scholar
  • Mohammadreza Koopialipoor, Ali Fallah, Danial Jahed Armaghani, Aydin Azizi, and Edy Tonnizam Mohamad, “Three hybrid intelligent models in estimating flyrock distance resulting from blasting,” Engineering with Computers, 2018. View at Publisher · View at Google Scholar
  • Hua Tian, Jisen Shu, and Liu Han, “The effect of ICA and PSO on ANN results in approximating elasticity modulus of rock material,” Engineering with Computers, 2018. View at Publisher · View at Google Scholar
  • Azham Hussain, A. Surendar, A. Clementking, Sujith Kanagarajan, and Lubov K. Ilyashenko, “Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm,” Engineering with Computers, 2018. View at Publisher · View at Google Scholar
  • Mahdi Hasanipanah, Danial Jahed Armaghani, Hassan Bakhshandeh Amnieh, Mohammadreza Koopialipoor, and Hossein Arab, “A Risk-Based Technique to Analyze Flyrock Results Through Rock Engineering System,” Geotechnical and Geological Engineering, 2018. View at Publisher · View at Google Scholar