This invention provides a method for the rapid
weathering of
coal gangue into soil through a microbial-
plant synergistic enhancement. Applied to the fields of ecological restoration of
coal gangue mountains and
artificial intelligence, the method constructs a
positive feedback loop of root exudates and microbial metabolites to achieve dual
acid erosion weathering by microorganisms and plants, significantly increasing the chemical
weathering rate of
coal gangue. Combined with the precise control of the ANNA
algorithm, it achieves rapid soilification of
coal gangue. The ANNA
algorithm avoids getting trapped in local optima from the source through reverse learning and dual
population initialization. The
adaptive bias operator and continuous penalty function coefficients achieve a smooth balance between global exploration and local exploitation capabilities, improving convergence speed and computational accuracy. The
algorithm is adaptable to restoration scenarios with different
coal gangue types and different climatic conditions, exhibiting excellent robustness.