A fresh view on particle swarm optimization to develop a precise model for predicting rock fragmentation
Abstract
Purpose The purpose of this paper is to propose a gauge for the convergence of the deterministic particle swarm optimization (PSO) algorithm to obtain an optimum upper bound for PSO algorithm and also developing a precise equation for predicting the rock fragmentation, as important aims in surface mines. Design/methodology/approach In this study, a database including 80 sets of data was collected from 80 blasting events in Shur river dam region,...
Paper Details
Title
A fresh view on particle swarm optimization to develop a precise model for predicting rock fragmentation
Published Date
Mar 11, 2019
Journal
Volume
36
Issue
2
Pages
533 - 550
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History