Document Type
Conference Proceeding
Publisher
IEEE
Faculty
Faculty of Computing, Health and Science
School
School of Computer and Information Science
RAS ID
3905
Abstract
Mining is an important industry in Australia, contributing billions of dollars to the economy. The performance of a processing plant has a large impact on the profitability of a mining operation, yet plant design decisions are typically guided more by intuition and experience than by analysis. In this paper, we motivate the use of an evolutionary algorithm to aid in the design of such plants. We formalise plant design in terms suitable for application in a multi-objective evolutionary algorithm and create a simulation to assess the performance of candidate solutions. Results show the effectiveness of this approach with our algorithm producing designs superior to those used in practice today, promising significant financial benefits.
DOI
10.1109/CEC.2005.1554908
Access Rights
free_to_read
Comments
This is an Author's Accepted Manuscript of: Huband, S. , Barone, L., Hingston, P. F., While, L., Tuppurainen, D., & Bearman, T. (2005). Designing Comminution Circuits with a Multi-Objective Evolutionary Algorithm. Proceedings of IEEE Congress on Evolutionary Computation. (pp. 1815-1822). Edinburgh, Scotland. IEEE. Available here
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