DocumentCode
2730108
Title
Designing comminution circuits with a multi-objective evolutionary algorithm
Author
Huband, Simon ; Barone, Luigi ; Hingston, Phil ; While, Lyndon ; Tuppurainen, David ; Bearman, Richard
Author_Institution
Sch. of Comput. & Inf. Sci., Edith Cowan Univ., Mount Lawley, WA, Australia
Volume
2
fYear
2005
fDate
2-5 Sept. 2005
Firstpage
1815
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.
Keywords
evolutionary computation; facilities layout; industrial plants; mining; process design; comminution circuit design; mining; multiobjective evolutionary algorithm; plant design; Algorithm design and analysis; Australia; Building materials; Cement industry; Ceramics industry; Circuits; Evolutionary computation; Mining industry; Ores; Performance analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN
0-7803-9363-5
Type
conf
DOI
10.1109/CEC.2005.1554908
Filename
1554908
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