Mining Plan Optimization of Multi-Metal Underground Mine Based on Adaptive Hybrid Mutation PSO Algorithm

Abstract

Mine extraction planning has a far-reaching impact on the production management and overall economic efficiency of the mining enterprise. The traditional method of preparing underground mine production planning is complicated and tedious, and reaching the optimum calculation results is difficult. Firstly, the theory and method of multi-objective optimization are used to establish a multi-objective planning model with the objective of the best economic efficiency, grade, and ore quantity, taking into account the constraints of ore grade fluctuation, ore output from the mine, production capacity of mining enterprises, and mineral resources utilization. Second, an improved particle swarm algorithm is applied to solve the model, a nonlinear dynamic decreasing weight strategy is proposed for the inertia weights, the variation probability of each generation of particles is dynamically adjusted by the aggregation degree, and this variation probability is used to perform a mixed Gaussian and Cauchy mutation for the global optimal position and an adaptive wavelet variation for the worst individual optimal position. This improved strategy can greatly increase the diversity of the population, improve the global convergence speed of the algorithm, and avoid the premature convergence of the solution. Finally, taking a large polymetallic underground mine in China as a case, the example calculation proves that the algorithm solution result is 10.98% higher than the mine plan index in terms of ore volume and 41.88% higher in terms of economic efficiency, the algorithm solution speed is 29.25% higher, and the model and optimization algorithm meet the requirements of a mining industry extraction production plan, which can effectively optimize the mine’s extraction plan and provide a basis for mine operation decisions.

Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory

“…In terms of evaluation models, many scholars have carried out a lot of research and proposed some theoretical models, such as mutation preference theory [10], AHP-FUZZY theory [11], entropy weight-CTODIM method [12], UMT theory [13], variable weight theory [14], rough set theory [15], Vague set theory [16], etc., which provide a large number of mining programme preference Theoretical basis, but the application of these models for evaluation exists, the evaluation results are extremely vague and uncertain, and there are limitations of unclear definition boundaries and inaccurate human judgement for the preferential evaluation of coal filling mining schemes under buildings, so the above evaluation models are difficult to carry out accurate preferential evaluation of coal filling mining schemes under buildings.…”

Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory

“…In terms of evaluation models, many scholars have carried out a lot of research and proposed some theoretical models, such as mutation preference theory 10 , AHP-FUZZY theory 11 , entropy weight-CTODIM method 12 , UMT theory 13 , variable weight theory 14 , rough set theory 15 , Vague set theory 16 , etc., which provide a large number of mining programme preference Theoretical basis, but the application of these models for evaluation exists, the evaluation results are extremely vague and uncertain, and there are limitations of unclear definition boundaries and inaccurate human judgement for the preferential evaluation of coal filling mining schemes under buildings, so the above evaluation models are difficult to carry out accurate preferential evaluation of coal filling mining schemes under buildings.…”

Preface to the Special Issue on “Computational and Mathematical Methods in Information Science and Engineering”

“…In mine extraction planning, the paper authored by Zhao et al [11] establishes a multiobjective planning model with the objective of obtaining the best economic efficiency, grade, and ore quantity, taking into account the constraints of ore grade fluctuation, ore output from the mine, production capacity of mining enterprises, and mineral resources utilization.…”