Optimizing ore-waste discrimination and block sequencing through simulated annealing

Applied Soft Computing Journal

Volumn 13, Issue 8, 2013, Pages 3737-3744

  Kumral, Mustafa ^a  

^a MCGILL UNIVERSITY   (Canada)

Author keywords

Block sequencing; Goal programming; Mine planning; Ore waste discrimination; Simulated annealing

Indexed keywords

BLOCK SEQUENCING; GOAL PROGRAMMING; INSTALLED CAPACITY; MINE PLANNING; NET PRESENT VALUE; ORE-WASTE DISCRIMINATION; PRODUCTION RATES; SEQUENCING PROBLEMS;

PROFITABILITY; SIMULATED ANNEALING;

ORES;

EID: 84879103505     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2013.03.005     Document Type: Article

References (32)

1. H. Lerch, and I.F. Grosmann Optimum design of open-pit mines CIM Transactions 58 1965 47 54
2. J.C. Picard Maximal closure of a graph and applications to combinatorial problems Management Science 22 1976 1268 1272
3. L.R. Ford, and D.R. Fulkerson Maximal flow through a network Canadian Journal of Mathematics 8 1956 399 404
4. B. Faaland, K. Kim, and T. Schmitt A new algorithm for computing the maximal closure of a graph Management Science 36 3 1990 315 331
5. L.M. Giannini, Optimum design of open pit mines, PhD Thesis, Curtin University of Technology (1990).
6. M. Gamache, G. Auger, Analysis of maximum flow algorithm for ultimate pit counter problems. Cahiers du GERAD. Report no: GERAD-G-00-57 (2000).
7. R. Underwood, and B. Tolwinski The Lerchs and Grosmann algorithm from a dual simplex viewpoint R.V. Ramani, Proceedings of 26. APCOM Symposium 1996 229 235
8. R. Underwood, and B. Tolwinski A mathematical programming viewpoint for solving the ultimate pit problem European Journal of Operational Research 107 1998 96 107
9. D.S. Hochbaum, and A. Chen Performance analysis and best implementation of old and new algorithms for the open-pit mining problem Operations Research 48 6 2000 894 914
10. D.S.A. Hochbaum New-old algorithm for minimum-cut and maximum-flow in closure graphs Networks: An International Journal 37 4 2001 171 193
11. J.C. Picard, and B.T. Smith Parametric maximum flows and the calculation of optimal intermediate counters in open pit mine design INFOR 42 2 2004 143 153
12. M.E. Gershon Optimal mine production scheduling: evaluation of large scale mathematical programming approaches International Journal of Mining Engineering 1 1983 315 329
13. T.W. Knowles Optimization models for mine planning Computers & Industrial Engineering 37 1999 469 472
14. S. Ramazan, and R. Dimitrakopoulos Traditional and new MIP models for production scheduling with in-situ grade variability, International Journal of Mining Environment and Reclamation 18 2004 85 98
15. M. Menabde, G. Froyland, P. Stone, and G. Yeates Mining schedule optimisation for conditionally simulated orebodies R. Dimitrakopoulos, Proceedings of Orebody Modelling and Strategic Mine Planning - Uncertainty and Risk Management Perth 2004 342 357
16. M.C. Djilani, and P.A. Dowd Optimal production scheduling in open pit mines LUMA Journal 1994 133 140
17. L. Caccetta, and S.P. Hill An application of branch and cut to open pit mine scheduling Journal of Global Optimization 27 2003 349 365
18. B. Boland, I. Dumitrescu, G. Froyland, and A.M. Gleixner LP-based disaggregation approaches to solving the open pit mining production scheduling problem with block processing selectivity Computers and Operations Research 36 4 2009 1064 1089
19. B. Boland, C. Fricke, and G. Froyland A strengthened formulation for the open pit mine production scheduling Computers & Operations Research 37 9 2010 1641 1647
20. B. Tolwinski, and R. Underwood A scheduling algorithm for open pit mines IMA Journal of Mathematics Applied in Business & Industry 7 1996 247 270
21. A.H. Onur, and P.A. Dowd Open-pit Optimization - Part I: optimal open pit design Transactions of the Institution of Mining and Metallurgy (Section A: Mining Industry) 102 1993 95 113
22. B. Denby, and D. Schofield Open-pit design and scheduling by use of genetic algorithms Transactions of the Institution of Mining and Metallurgy (Section A: Mining Industry) 103 1994 A21 A26
23. M. Kumral, and P.A. Dowd A simulated annealing approach to mine production scheduling Journal of Operational Research Society 56 2005 922 930
24. J. Sattarvand, and C. Nieman-Delius Perspective of metaheuristic optimization methods in open pit production planning Gospodarka Surowcami Mineralnymi 24 2008 144 155
25. P.J.M. Laarhoven, and E.H.L. Aarts Simulated Annealing: Theory and Applications 1987 Reidel Dordecht
26. E.H.L. Aarts, and J.H.M. Korst Simulated Annealing and Boltzmann Machines 1989 Wiley New York
27. R.W. Eglese Simulated annealing: A tool for operational research European Journal of Operational Research 46 1990 271 281
28. M.E. Aydin, and T.C. Fogartya Distributed evolutionary simulated annealing algorithm for combinatorial optimisation problems Journal of Heuristics 10 3 2004 269 292
29. K.Y. Chan, C.K. Kwong, and X.G. Luo Improved orthogonal array based simulated annealing for design optimization Expert Systems and Applications 36 4 2009 7379 7389
30. D.S. Johnson, C.R. Aragon, L.A. McGeoch, and C. Schevon Optimization by annealing: An experimental evaluation; part I, graph partitioning Operations Research 37 6 1989 865 892
31. S. Kirkpatrick, C.D. Gelatt, and M.P. Vecchi Optimization by simulated annealing Science 220 1983 671 680
32. M. Lundy, and A. Mees Convergence of an annealing algorithm Mathematical Programming 34 1986 111 124