Abstract: An in-depth study on genetic algorithms such as genetic algorithm，neural networks and fuzzy logic is carried through and applied to the complex mine production system to resolve the optimization of cut-off grade and beneficiation feed grade.Firstly，it uses neural networks to establish the multi-objective optimization function with grades index as independent variable，then the fuzzy integrated evaluation is processed and takes its fuzzy membership function for a fitness function of genetic algorithm so that search out the optimal grade combinations globally to get fitness function the most value，accordingly realize the dynamic optimization of both grades and provide decision-making for ore production.