Enabling sustainable mining via AI-based techniques

• Main Author: AZHAR, Nurul Asyikeen Binte
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Operations research; production scheduling; sustainability; multi-objective evolutionary algorithm; learning algorithms; Artificial Intelligence and Robotics; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/etd_coll/587; https://ink.library.smu.edu.sg/context/etd_coll/article/1585/viewcontent/GPEN_AY2020_EngD_Nurul_Asyikeen_Binte_Azhar.pdf
• Institution: Singapore Management University

The precedence-constrained production scheduling problem (PCPSP) in Long-Term Mine Planning (LTMP) is NP-hard and conventionally prioritizes the Net Present Value (NPV) of profits. Even so, heightened sustainability concerns necessitate heightened sustainable practices. Yet, research still lags. Thi...