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

The main goal of this article is to demonstrate an approach based on integration of process simulation and Multi-Objective Genetic Algorithm (MOGA) concepts to solve a real grinding circuit optimization problem by finding the best operating condition under which process objectives can be achieved. E...

Full description

Saved in:

Bibliographic Details
Published in:	Mineral processing and extractive metallurgy review Vol. 36; no. 2; pp. 71 - 82
Main Authors:	Farzanegan, A., Mirzaei, Z. S.
Format:	Journal Article
Language:	English
Published:	Philadelphia Taylor & Francis Group 04.03.2015 Taylor & Francis Ltd
Subjects:	Ball milling Circuits comminution Computer simulation esfordi phosphate plant Genetic algorithms Hydrocyclones Mathematical models MOGA multi-objective genetics algorithm Optimization Phosphates Power plants Sampling Simulation Streams
ISSN:	0882-7508, 1547-7401
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!