Competitive algorithm to balance and predict blasting outcomes using measured field data sets
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Competitive algorithm to balance and predict blasting outcomes using measured field data sets
Authors
Keywords
-
Journal
COMPUTATIONAL GEOSCIENCES
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-09-19
DOI
10.1007/s10596-023-10254-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- XG Boost Algorithm to Simultaneous Prediction of Rock Fragmentation and Induced Ground Vibration Using Unique Blast Data
- (2022) N. Sri Chandrahas et al. Applied Sciences-Basel
- XGBoost Optimized by Adaptive Particle Swarm Optimization for Credit Scoring
- (2021) Chao Qin et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A chaos recurrent ANFIS optimized by PSO to predict ground vibration generated in rock blasting
- (2021) Wei Zhu et al. APPLIED SOFT COMPUTING
- Artificial Neural Network and Firefly Algorithm for Estimation and Minimization of Ground Vibration Induced by Blasting in a Mine
- (2020) Parichehr Bayat et al. Natural Resources Research
- Predicting rock size distribution in mine blasting using various novel soft computing models based on meta-heuristics and machine learning algorithms
- (2020) Chengyu Xie et al. Geoscience Frontiers
- Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study
- (2019) Hoang Nguyen et al. Acta Geophysica
- Centroid opposition with a two-point full crossover for the partially attracted firefly algorithm
- (2019) Lingyun Zhou et al. SOFT COMPUTING
- Prediction of Vibration Velocity Generated in Mine Blasting Using Support Vector Regression Improved by Optimization Algorithms
- (2019) Haiqing Yang et al. Natural Resources Research
- An improved firefly algorithm for the unrelated parallel machines scheduling problem with sequence-dependent setup times
- (2018) Absalom E. Ezugwu et al. IEEE Access
- A Level-based Learning Swarm Optimizer for Large Scale Optimization
- (2017) Qiang Yang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Nano properties analysis via fourth multiplicative ABC indicator calculating
- (2017) Wei Gao et al. Arabian Journal of Chemistry
- A new hybrid ANFIS–PSO model for prediction of peak particle velocity due to bench blasting
- (2016) Ebrahim Ghasemi et al. ENGINEERING WITH COMPUTERS
- Prediction of blast-produced ground vibration using particle swarm optimization
- (2016) Mahdi Hasanipanah et al. ENGINEERING WITH COMPUTERS
- Feasibility of ICA in approximating ground vibration resulting from mine blasting
- (2016) Danial Jahed Armaghani et al. NEURAL COMPUTING & APPLICATIONS
- Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm
- (2015) Ebrahim Ebrahimi et al. Bulletin of Engineering Geology and the Environment
- Prediction of seismic slope stability through combination of particle swarm optimization and neural network
- (2015) Behrouz Gordan et al. ENGINEERING WITH COMPUTERS
- Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting
- (2015) Amir Saghatforoush et al. ENGINEERING WITH COMPUTERS
- Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting
- (2015) Danial Jahed Armaghani et al. Environmental Earth Sciences
- Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach
- (2015) Mohsen Hajihassani et al. Environmental Earth Sciences
- Application of PCA, SVR, and ANFIS for modeling of rock fragmentation
- (2014) Mohammad Esmaeili et al. Arabian Journal of Geosciences
- Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization
- (2013) D. Jahed Armaghani et al. Arabian Journal of Geosciences
- Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction
- (2012) Xiu-zhi SHI et al. TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA
- Estimation of elastic constant of rocks using an ANFIS approach
- (2011) Rajesh Singh et al. APPLIED SOFT COMPUTING
- Reduction of blast-induced vibration in the direction of tunneling using an air-deck at the bottom of a blasthole
- (2010) Dohyun Park et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Firefly algorithm, stochastic test functions and design optimisation
- (2010) Xin She Yang International Journal of Bio-Inspired Computation
- Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks
- (2009) M. Monjezi et al. INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES
- Evaluation of ground vibration effect of blasting operations in a magnesite mine
- (2008) Hakan Ak et al. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started