Publication Cover
Mining Technology
Transactions of the Institutions of Mining and Metallurgy
Volume 132, 2023 - Issue 4
176
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

A Genetic algorithm scheme for large scale open-pit mine production scheduling

, ORCID Icon &
Pages 225-236 | Received 10 Jan 2023, Accepted 07 Jun 2023, Published online: 30 Jun 2023

References

  • Alipour A, Khodaiari AA, Jafari A, Tavakkoli-Moghadam R. 2020. Production scheduling of open-pit mines using genetic algorithm: a case study. Int J Manag Sci Eng Manag. 15(3):176–183. doi:10.1080/17509653.2019.1683090.
  • Alipour A, Khodaiari AA, Jafari A, Tavakkoli-Moghadam R. 2022. An integrated approach to open-pit mines production scheduling. Resour Policy. 75:102459. doi:10.1016/j.resourpol.2021.102459.
  • Askari-Nasab H, Awuah-Offei K, Eivazy H. 2010. Large-scale open pit production scheduling using mixed integer linear programming. Int J Min Miner Eng. 2(3):185–214. doi:10.1504/IJMME.2010.037624.
  • Askari-Nasab H, Pourrahimian Y, Ben-Awuah E, Kalantari S. 2011. Mixed integer linear programming formulations for open pit production scheduling. J Min Sci. 47(3):338–359. doi:10.1134/S1062739147030117.
  • Ataei M, Osanloo M. 2004. Using a combination of genetic algorithm and the grid search method to determine optimum cutoff grades of multiple metal deposits. Int J Surf Mining, Reclam Environ. 18(1):60–78. doi:10.1076/ijsm.18.1.60.23543.
  • Caccetta L, Hill S. 2003. An application of branch and cut to open pit mine scheduling. J Glob Optim. 27(2–3):349–365. doi:10.1023/A:1024835022186.
  • Danish AAK, Khan A, Muhammad K, Ahmad W, Salman S. 2021. A simulated annealing based approach for open pit mine production scheduling with stockpiling option. Resour Policy. 71:102016. doi:10.1016/j.resourpol.2021.102016.
  • Denby B, Schofield D. 1994. Open-pit design and scheduling by use of genetic algorithms. Trans Inst Min Metall Sec A Min Ind. 103.
  • Dorigo M, Birattari M, Stutzle T. 2006. Ant colony optimization. IEEE Comput Intell Mag. 1(4):28–39. doi:10.1109/MCI.2006.329691.
  • Elevli B. 1995. Open pit mine design and extraction sequencing by use of OR and AI concepts. Int J Surf Min Reclam Environ. 9(4):149–453. doi:10.1080/09208119508964741.
  • Espinoza D, Goycoolea M, Moreno E, Newman A. 2013. MineLib: a library of open pit mining problems. Ann Oper Res. 206(1):93–114. doi:10.1007/s10479-012-1258-3.
  • Fathollahzadeh k, Asad M, Mardaneh E, Cigla M. 2021. Review of solution methodologies for open Pit mine production scheduling problem. Int J Min Reclam Environ. 1–36.
  • Gershon M. 1983. Optimal mine production scheduling: evaluation of large scale mathematical programming approaches. Int J Min Eng. 1(4):315–329. doi:10.1007/BF00881548.
  • Gershon M. 1987. Heuristic approaches for mine planning and production scheduling. Int J Min Geol Eng. 5(1):1–13. doi:10.1007/BF01553529.
  • Gholamnejad J, Lotfian R, Kasmaeeyazdi S. 2020. A practical, long-term production scheduling model in open pit mines using integer linear programming. J South Afr Inst Min Metall. 120(12):665–670. doi:10.17159/2411-9717/769/2020.
  • Hassanat A, Almohammadi K, Alkafaween E, Abunawas E, Hammouri A, Prasath VB. 2019. Choosing mutation and crossover ratios for genetic algorithms – a review with a new dynamic approach. Information. 10(12):390. doi:10.3390/info10120390.
  • Katoch S, Chauhan SS, Kumar V. 2021. A review on genetic algorithm: past, present, and future. Multimed Tools Appl. 80(5):8091–8126. doi:10.1007/s11042-020-10139-6.
  • Khan A, Niemann-Delius C. 2014. Production scheduling of open pit mines using particle swarm optimization algorithm. Adv Oper Res. 2014. doi:10.1155/2014/208502.
  • Khan A, Niemann-Delius C. 2018. A differential evolution based approach for the production scheduling of open pit mines with or without the condition of grade uncertainty. Appl Soft Comput. 66:428–437. doi:10.1016/j.asoc.2018.02.010.
  • Kora P, Yadlapalli P. 2017. Crossover operators in genetic algorithms: a review. Int J Comput Appl. 162(10).
  • Kumral M, Dowd PA. 2005. A simulated annealing approach to mine production scheduling. J Oper Res Soc. 56(8):922–930. doi:10.1057/palgrave.jors.2601902.
  • Lamghari A, Dimitrakopoulos R. 2012. A diversified Tabu search approach for the open-pit mine production scheduling problem with metal uncertainty. Eur J Oper Res. 222(3):642–652. doi:10.1016/j.ejor.2012.05.029.
  • Maulik U, Bandyopadhyay S. 2000. Genetic algorithm-based clustering technique. Pattern Recognit. 33(9):1455–1465. doi:10.1016/S0031-3203(99)00137-5.
  • Mirzaei-Nasirabad H, Khalokakaie R. 2008. Optimum open pit design with the use of genetic algorithm. 5th international conference and exhibition on mass mining; Luleå, Sweden.
  • Omar R, Hirotaka O. 2012. A survey of computational approaches to portfolio optimization by genetic algorithms. In: 18th international conference computing in economics and finance, society for computational economics.
  • Osanloo M, Gholamnejad J, Karimi B. 2008. Long-term open pit mine production planning: a review of models and algorithms. Int J Min Reclam Environ. 22(1):3–35. doi:10.1080/17480930601118947.
  • Pencheva T, Atanassov K, Shannon A. 2009. Modelling of a roulette wheel selection operator in genetic algorithms using generalized nets. Int J Bioautomation. 13(4):257.
  • Ramazan S. 2007. The new Fundamental Tree Algorithm for production scheduling of open pit mines. Eur J Oper Res. 177(2):1153–1166. doi:10.1016/j.ejor.2005.12.035.
  • Ramazan S, Dagdelen K, Johnson TB. 2005. Fundamental tree algorithm in optimising production scheduling for open pit mine design. Min Technol. 114(1):45–54. doi:10.1179/037178405X44511.
  • Ramazan S, Dimitrakopoulos R. 2004a. Recent applications of operations research and efficient MIP formulations in open pit mining. Soc Min Metall Explor Inc Trans. 316.
  • Ramazan S, Dimitrakopoulos R. 2004b. Traditional and New MIP models for production scheduling with In-situ grade variability. Int J Surf Min. 18:13.
  • Saltelli A, Annoni P. 2010. How to avoid a perfunctory sensitivity analysis. Environ Model Softw. 25(12):1508–1517. doi:10.1016/j.envsoft.2010.04.012.
  • Samavati M, Essam D, Nehring M, Sarker R. 2017. A local branching heuristic for the open pit mine production scheduling problem. Eur J Oper Res. 257(1):261–271. doi:10.1016/j.ejor.2016.07.004.
  • Shishvan M, Sattarvand J. 2015. Long term production planning of open pit mines by ant colony optimization. Eur J Oper Res. 240(3):825–836. doi:10.1016/j.ejor.2014.07.040.
  • Villalba Matamoros ME, Kumral M. 2019. Calibration of genetic algorithm parameters for mining-related optimization problems. Nat Resour Res. 28(2):443–456. doi:10.1007/s11053-018-9395-2.
  • Wang Q, Sevim H. 1995. Alternative to parameterization in finding a series of maximum-metal pits for production planning. Min Eng. 178–182.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.