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...

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Vydané v:	Mineral processing and extractive metallurgy review Ročník 36; číslo 2; s. 71 - 82
Hlavní autori:	Farzanegan, A., Mirzaei, Z. S.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Philadelphia Taylor & Francis Group 04.03.2015 Taylor & Francis Ltd
Predmet:	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
On-line prístup:	Získať plný text
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