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• W4386487856 abstract "The logistical complication of long-term mine planning involves deciding the sequential extraction of materials from the mine pit and their subsequent processing steps based on geological, geometrical, and resource constraints. The net present value (NPV) of profit over the mine’s lifespan usually forms the sole objective for this problem, which is considered as the NP-hard precedence-constrained production scheduling problem (PCPSP) as well. However, increased pressure for more sustainable and carbon-aware industries also calls for environmental indicators to be considered. In this paper, we enhance the generic PCPSP formulation into a multi-objective optimization (MOO) problem whereby carbon cost forms an additional objective. We apply the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) to this formulation and experiment with variants to the solution generation. Our tailored application of the NSGA-II using a set of real-world inspired datasets can form an approximated Pareto front for planners to observe stipulated annual carbon emission targets. It also displays that tailored variants of the NSGA-II can produce diverse solutions that are close to the true Pareto front." @default.
• W4386487856 created "2023-09-07" @default.
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• W4386487856 date "2023-01-01" @default.
• W4386487856 modified "2023-09-27" @default.
• W4386487856 title "Carbon-Aware Mine Planning with a Novel Multi-objective Framework" @default.
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• W4386487856 doi "https://doi.org/10.1007/978-3-031-43612-3_31" @default.
• W4386487856 hasPublicationYear "2023" @default.
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