Article: Optimisation of rare earth mining using intelligent optimisation algorithms Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.32 pp.53 - 67 Abstract: Rare earth resources, as a strategic key mineral resource for the nation, require efficient and sustainable development. Traditional mining sequence planning methods struggle to comprehensively coordinate the complex interplay of multiple factors. To address these challenges, this study employs a genetic algorithm to efficiently solve the model, aiming to generate an overall optimal or satisfactory mining sequence plan under given constraints. Research validation indicates that the proposed method can more effectively balance the long-term and short-term benefits of a mine's entire lifecycle and better adapt to the spatial complexity of geological conditions in mining areas. Additionally, the study explores key parameter settings for the algorithm and potential improvement strategies to enhance solution performance. This research provides new theoretical support and effective intelligent decision-making tools for the scientific formulation of mining plans for rare earth mines, holding significant theoretical value and practical guidance implications. Inderscience Publishers - linking academia, business and industry through research

Title: Optimisation of rare earth mining using intelligent optimisation algorithms

Authors: Xi Liu; Lu Yi; Minggui Zheng

Addresses: School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000, China ' School of Economics and Management, Jiangxi University of Science and Technology, Ganzhou 341000, China ' Mining Development Research Center, Jiangxi University of Science and Technology, Ganzhou 341000, China

Abstract: Rare earth resources, as a strategic key mineral resource for the nation, require efficient and sustainable development. Traditional mining sequence planning methods struggle to comprehensively coordinate the complex interplay of multiple factors. To address these challenges, this study employs a genetic algorithm to efficiently solve the model, aiming to generate an overall optimal or satisfactory mining sequence plan under given constraints. Research validation indicates that the proposed method can more effectively balance the long-term and short-term benefits of a mine's entire lifecycle and better adapt to the spatial complexity of geological conditions in mining areas. Additionally, the study explores key parameter settings for the algorithm and potential improvement strategies to enhance solution performance. This research provides new theoretical support and effective intelligent decision-making tools for the scientific formulation of mining plans for rare earth mines, holding significant theoretical value and practical guidance implications.

Keywords: intelligent optimisation algorithms; genetic algorithms; rare earth mines; mining areas.

DOI: 10.1504/IJICT.2025.148493

International Journal of Information and Communication Technology, 2025 Vol.26 No.32, pp.53 - 67

Received: 21 Jun 2025
Accepted: 15 Jul 2025
Published online: 08 Sep 2025 *

Title: Optimisation of rare earth mining using intelligent optimisation algorithms

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