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Asia-Pacific Conference on Simulated Evolution and Learning

SEAL 2017: Simulated Evolution and Learning pp 751–762Cite as

Evolutionary Computation to Determine Product Builds in Open Pit Mining

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10593))

Abstract

This paper describes an approach to optimising processing and stockpiling decisions in an open pit mine in order to minimise the deviation from production targets. The solution involves determining decisions on the destination of ore as it is mined: whether to use ore in a product directly as it is extracted from the ground, or to stockpile and use later. Experimental results are provided for a variable threshold based selection heuristic and an approach that applies evolutionary computation to find better solutions.

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References

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Acknowledgement

This work was supported by the Australian Research council through grant DP130104395. Some of the methods used in this paper are based on work done by delegates at the 2016 Mathematics in Industry Study Group workshop, in particular the contributions to developing the simulation and the selection cone heuristic method are gratefully acknowledged.

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Authors and Affiliations

  1. University of Adelaide, Adelaide, Australia

    Adam Ghandar

Authors
  1. Adam Ghandar
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Correspondence to Adam Ghandar .

Editor information

Editors and Affiliations

  1. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  2. City University of Hong Kong, Hong Kong, Kowloon, Hong Kong

    Kay Chen Tan

  3. Victoria University of Wellington, Wellington, Wellington, New Zealand

    Mengjie Zhang

  4. Southern University of Science and Technology, Shenzhen, China

    Ke Tang

  5. RMIT University, Melbourne, Victoria, Australia

    Xiaodong Li

  6. City University of Hong Kong, Kowloon Tong, Hong Kong

    Qingfu Zhang

  7. Peking University, Beijing, China

    Ying Tan

  8. University of Leipzig, Leipzig, Germany

    Martin Middendorf

  9. University of Surrey, Guildford, Surrey, United Kingdom

    Yaochu Jin

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© 2017 Springer International Publishing AG

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Ghandar, A. (2017). Evolutionary Computation to Determine Product Builds in Open Pit Mining. In: Shi, Y., et al. Simulated Evolution and Learning. SEAL 2017. Lecture Notes in Computer Science(), vol 10593. Springer, Cham. https://doi.org/10.1007/978-3-319-68759-9_61

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  • DOI: https://doi.org/10.1007/978-3-319-68759-9_61

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68758-2

  • Online ISBN: 978-3-319-68759-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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