Scenario-Based Multi-Objective Genetic Algorithm Optimization of Closed Ball-Milling Circuit of Esfordi Phosphate Plant

Design of Comminution Plants in the Ceramic Industry Using a Simulation-based Optimization Approach

“…Note that a previous study applied GAs to optimization problems involving comminution processes and is closely related to the problem that affects the subject of this work (Farzanegan and Mirzaei, 2015). Another study applied it in a crushing plant using commercial machines from the Sandvik Company (Derpich, Munoz, and Espinoza, 2019).…”

Comparison of Statistical versus Stochastic Models for Work Index Determination in Quartz-Marble Mixtures

“…Establishing a controlled, efficient system for mineral grinding circuits has been the topic of many studies and the primary cause of concern for operators across many years (Hadizadeh et al 2017). Implementing a mathematically modeled system for optimizing and simulating mineral grinding processes has been constantly studied in mineral processing for decades (Farzanegan, Mirzaei 2015). However, the pressure exerted on industries due to high-grade resources' exhaustion will make all technological methods for milling become more prominent in the future, allowing for the reprocessing and exploitation of lower-grade resources and obligating industries to support much finer crushing processes (Singh et al 2019).…”

“…Citing Farzanegan and Mirzaei (2015) there have been progressive advances in numerical modeling algorithms and applied methodologies oriented towards resolving optimization problems. For Mucsi (2013) in general contexts, in order to process minerals, there are three commonly applicable laws describing the existing relation between grinding energy use and the resulting fineness of the processed material: Bond's law, Rittinger's law and Kick-Kirpicsev's law.…”