Comparative Study of Optimization Schemes in Mineral Processing Simulations
Paper in proceeding, 2019
The scope of this paper is to demonstrate two optimization schemes: Multi-Objective Optimization (MOO) using a Genetic Algorithm (GA) and Multi-Disciplinary Optimization (MDO) using an Individual Discipline Feasible (IDF) approach. A two stage coarse comminution plant is used as a case plant to demonstrate the applicability of the two optimization schemes. The two schemes are compared based on the problem formulations, types of result and computation time. Results show that the two optimization schemes are suitable in generating solutions to a defined problem and both schemes can be used together to produce complementary results.
Multi-Objective Optimization
Individual Discipline Feasible
Multi-Disciplinary Optimization
Simulations
Modelling
Comminution
Mineral Processing
Genetic Algorithm
Author
Kanishk Bhadani
Chalmers, Industrial and Materials Science, Product Development
Gauti Asbjörnsson
Chalmers, Industrial and Materials Science, Product Development
Erik Hulthén
Chalmers, Industrial and Materials Science, Product Development
Magnus Bengtsson
Chalmers, Industrial and Materials Science, Product Development
Magnus Evertsson
Chalmers, Industrial and Materials Science, Product Development
IMPC 2018 - 29th International Mineral Processing Congress
Vol. 2019 464-473
Moscow, Russia,
Subject Categories
Mechanical Engineering
Production Engineering, Human Work Science and Ergonomics
Areas of Advance
Production