Comparative Study of Optimization Schemes in Mineral Processing Simulations
Paper i 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
Författare
Kanishk Bhadani
Chalmers, Industri- och materialvetenskap, Produktutveckling
Gauti Asbjörnsson
Chalmers, Industri- och materialvetenskap, Produktutveckling
Erik Hulthén
Chalmers, Industri- och materialvetenskap, Produktutveckling
Magnus Bengtsson
Chalmers, Industri- och materialvetenskap, Produktutveckling
Magnus Evertsson
Chalmers, Industri- och materialvetenskap, Produktutveckling
IMPC 2018 - 29th International Mineral Processing Congress
Vol. 2019 464-473
Moscow, Russia,
Ämneskategorier
Maskinteknik
Produktionsteknik, arbetsvetenskap och ergonomi
Styrkeområden
Produktion