Hybrid Decision-Making Model for Genetic Mineral Processing

Genetic mineral processing leverages the genetic characteristics of deposit, ore, and minerals to inform the development of beneficiation processes. With the creation of gene databases and research into genetic mechanisms, along with the integration of intelligent decision-making technologies, a unified system for Genetic mineral processing has been established, offering a significant innovation over traditional method. This paper introduces the core implementation and decision-making strategies in Genetic mineral processing, proposing a hybrid decision model that combines rule-and case-based knowledge reasoning with data-driven machine learning. The model is known for its high explainability, accuracy, and dual-driven (knowledge-and-data) capabilities. A case study of copper-sulfur ore demonstrates the methodology and benefits of intelligent decision-making in this context.