Stochastic-optimization annealing of an intelligent open pit mine design

Mineral Resources Engineering

Volumn 7, Issue 1, 1998, Pages 15-27

  Frimpong, Samuel ^a   Whiting, Jerry M ^a   Szymanski, Jozef ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0002508229     PISSN: 09506098     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0950609898000043     Document Type: Article

References (22)

1. H. Lerchs and I. F. Grossman, Optimum design of open-pit mines, CIM Trans. LXVIII (1965) 17-24.
2. E. Koenigsberg, The optimum contours of an open pit mine: An application of dynamic programming, Proc. 17th APCOM Symp., New York, 1982, 274-287.
3. P. A. Dowd and A. H. Onur, Optimization of open-pit mine design-part 1: Optimal open-pit design, Trans, of IMM 102, A. (1993) A95-A104.
4. P. K. Achireko and S. Frimpong, Open pit optimization using artificial neural networks on conditionally simulated blocks, Proc. of APCOM '96 Symp., PennState Univ, 1996.
5. S. Frimpong and P. K. Achireko, The MCS/MFNN algorithm for open pit optimization, Int. J. Surface Mining, Reclamation and Environment A. A. Balkema, Rotterdam (1997) 45-52.
6. P. K. Achireko and S. Frimpong, Stochastic ore reserve modelling using the modified conditional simulation, Proc. CIM '97 Conf., April-May 1997, Vancouver, Canada.
7. G. A. Fenton and E. H. Vanmarcke, Simulation of random fields via local average subdivision, ASCE Journal of Eng. Mech. 116, 8 (1990) 1733-1749.
8. C. V. Deutsch and A. G. Journel, GSLIB: Geostatistical Software Library and User's Guide, 2nd Edition (Oxford University Press, New York, 1998).
9. S. Frimpong, Evaluation of mineral ventures using modern financial methods, PhD Dissertation, University of Alberta, Edmonton, 1992, 211.
10. J. Hull, Options, Futures and Other Derivative Securities (Prentice-Hall, Englewood Cliffs, New Jersey, 1989).
11. R. Beale and T. Jackson, Neural Computing (IOP Publishing Ltd., New York, 1990).
12. ++ (Academic Press, San Diego, 1997).
13. S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images, IEEE Tran. on Pattern Analysis and Machine Intelligence 6 (1984) 721-741.
14. G. E. Hinton and T. J. Sejnowski, Learning and relearning in Boltzmann machines, Parallel Distributed Processing, 1 (MIT Press, Cambridge, MA).
15. P. Smolensky, Schema selection and stochastic inference in molecular environments. Proc. of the Nat. Conf. on Artificial Intell., AAAI-83, 1983, 109-113.
16. S. Frimpong and J. M. Whiting, Mine investment analysis by the generation of profitability moments. Proc. of the 23rd APCOM Symp., Tucson, 1992, 97-105.
17. W. S. Tortike and S. Frimpong, Variance simulation: A practical alternative to Monte Carlo simulation and sensitivity analysis, SPE Petroleum Computer Conf., Dallas, (July-August 1994) 281-293.
18. Palisade Corp., Risk Analysis and Simulation Add-In for MS Excel, Release 1.02. (Palisade Corporation, Newfield, 1996).
19. R. Billinton and W. Li, Reliability Assessment of Electrical Power Systems Using Monte Carlo Methods (Plenum Press, New York, 1994).
20. S. Frimpong, Profitability-sensitivity of the Sabi gold project, unpublished MSc Dissertation, University of Zambia, 1988, 226.
21. Sabi Gold Mine, Geology and Evaluation of the Oxidized Ore Cap at Sabi Mine. Unpublished Report, Sabi Gold Mine, 1986, Zimbabwe.
22. Y. Danon, WinNN 0.96, Neural Network Software Package (Arad, Israel, 1996).