Multiple-scenario Optimization

Multiple-Scenario Optimization is a pit optimization method that simultaneously considers multiple geological, economic, or operational scenarios to generate a robust open-pit mine design resilient to uncertainty, distinguishing it from deterministic single-scenario approaches.

27

Publications

1.7K

Citations

110

Authors

46

Institutions

Publications per year

2017–2026

14

Authors

110

  1. KD
    Kalyanmoy Deb

    Michigan State University, United States

    2 publications · 53 citations

    2

    h-index

  2. RB
    Russell Bent

    Los Alamos National Laboratory, United States

    2 publications · 482 citations

    2

    h-index

  3. PV
    Pascal Van Hentenryck

    Brown University, United States

    2 publications · 482 citations

    2

    h-index

  4. SS
    Sandeep S. Kulkarni

    Michigan State University, United States

    2 publications · 53 citations

    2

    h-index

  5. KL
    Kisung Lee

    Korea University, South Korea

    1 publications · 62 citations

    1

    h-index

1–5 of 110

Venues

  1. Natural Hazards

    2 publications · 141 citations

    2

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  2. IEEE Transactions on Evolutionary Computation

    1 publications · 33 citations

    1

    h-index

  3. Operations Research

    1 publications · 456 citations

    1

    h-index

  4. 1

    h-index

  5. 1

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1–5