• 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