A multi-objective evolutionary algorithm approach for crusher optimisation and flowsheet design

Minerals Engineering

Volumn 17, Issue 11-12, 2004, Pages 1063-1074

  While, L ^a   Barone, L ^a   Hingston, P ^b   Huband, S ^b   Tuppurainen, D ^c   Bearman, R ^c  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^b EDITH COWAN UNIVERSITY   (Australia)

^c Rio Tinto Limited Australia   (Australia)

Author keywords

Artifical intelligence; Comminution; Evolutionary algorithms; Optimisation; Process design

Indexed keywords

ARTIFICIAL INTELLIGENCE; EVOLUTIONARY ALGORITHMS; FLOWCHARTING; MATHEMATICAL MODELS; NEURAL NETWORKS; OPTIMIZATION; STEEL;

CONE CRUSHER LINES; LUMP PRODUCT; MINERAL PROCESSING; PROCESS DESIGN;

CRUSHING;

EID: 7544247819     PISSN: 08926875     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mineng.2004.06.018     Document Type: Conference Paper

References (16)

1. Back, T., Ulrich, H., Schwefel, H.-P., 1997. Evolutionary computation: comments on the history and current state. IEEE Transactions on Evolutionary Computation 1 (1), 3-16.
2. Barone, L., While, L., Kingston, P., 2002. Designing crushers with a multi-objective evolutionary algorithm. In: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference. Morgan Kaufmann Publishers, pp. 995-1002.
3. Bearman, R.A., Barley, R.W., Hitchcock, A., 1990. The Development of a Comminution Index for Rock and the Use of an Expert System to Assist the Engineer in Predicting Crushing Requirements. Minerals Engineering 3 (1/2), 117-127.
4. Bearman, R.A., 1994. Cone crusher design and operation, Proceedings of 1st CMTE Annual Conference, Pinjarra Hills, Brisbane, July 20-22nd 1994, pp. 56-59.
5. Broussaud, A., Guyot, O., 1999. Optimising control systems: improving profitability in minerals processing., Ind. Miner. Lond., no. 384, Sept. 1999, pp. 101-107.
6. Eby, D., Averill, R.C., Punch, W.F., Goodman, E.D., 1999. Optimal design of flywheels using an injection island GA. Artificial Intelligence for Engineering, Design, Analysis and Manufacturing 13, 327-340.
7. Emmerich, M., Grötzner, M., Schuetz, M., 2001. Design of graph-based evolutionary algorithms: a case study for chemical process networks. Evolutionary Computation 9 (3), 329-354.
8. Fonseca, C.M., Fleming, P.J., 1998. Multiobjective optimisation and multiple constraint handling with evolutionary algorithms - Part I: unified formulation. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans 28 (1), 26-37.
9. Gross, B., Hammel, U., Maldaner, P., Meyer, A., Roosen, P., Schutz, M., 1996. Optimization of heat exchanger networks by means of evolution strategies. In: The Sixth Conference on Parallel Problem Solving from Nature. Springer, pp. 1002-1011.
10. Kingston, P., Barone, L., While, L., 2002. Evolving crushers. In: Proceedings of the 2002 Congress on Evolutionary Computation (CEC '02). IEEE Publishers, pp. 1109-1114.
11. Klockgether, J.S., and Schwefel, H.-P., 1970. Two-phase nozzle and hollow core jet experiments, 11th Symposium on Engineering Aspects of Magnetohydrodynamics, California Institute of Technology, pp. 141-148.
12. McCaffery, K.M., Katom, M., Craven, J.W., 2001. Ongoing evolution of advanced SAG mill control at Ok Tedi. Prepr. Soc. Min. Metal. Explor., no.01-69.
13. Napier-Munn, T.J., Morrell, S., Morrison, R.D., and Kojovic, T., 1996. Mineral Comminution Circuits. Julius Kruttschnitt Mineral Research Centre.
14. Prince, R.G.H., 1997. Computer Aided Design of Mineral Processing Flowsheets, AMIRA Project P452, Final Report.
15. Veldhuizen, D., Lamont, G., 2000. Multiobjective evolutionary algorithms: analysing the state-of-the-art Evolutionary Computation 8 (2), 125-147.
16. Venter, J.J., Bearman, R.A., Everson, R.C., 1997. A Novel Approach to Circuit Synthesis in Mineral Processing. Minerals Engineering 10 (3), 287-299.