Comparison of evolutionary algorithms: A case study on the multi-objective carbon-aware mine planning

• Main Authors: NURUL ASYIKEEN BINTE AZHAR, GUNAWAN, Aldy, CHENG, Shih-Fen, LEONARDI, Erwin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Genetic algorithms; Pareto optimization; production planning; environmental economics; Operations Research, Systems Engineering and Industrial Engineering; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/9495; https://ink.library.smu.edu.sg/context/sis_research/article/10495/viewcontent/Final_CASE2024_Comparison_of_EAs_av.pdf
• Institution: Singapore Management University

The NP-hard precedence-constrained production scheduling problem (PCPSP) for mine planning chooses the ordered removal of materials from the mine pit and the next processing steps based on resource, geological, and geometrical constraints. Traditionally, it prioritizes the net present value (NPV) of...