Abstract: This paper aims at the development demand of a certain mine resource. Through the comprehensive geological modeling and intelligent algorithm optimization technology, a dynamic optimization system for the open-pit mining boundary is constructed. Based on the Surpac 3D geological modeling platform, the ore body block model is reconstructed. Combined with the geological exploration data and production technical indicators, a 3D visualization database containing multiple information such as the ore grade distribution and rock mass mechanical parameters is established. Using the Whittle optimization software to integrate the parametric algorithm and the marginal grade threshold iterative analysis, a multi-objective optimization model based on the maximization of the net Present Value （NPV） is constructed. Through setting different economic evaluation parameters for multi-scenario simulation, the static boundary determination and dynamic mining sequence optimization are completed. The research results show that the mining boundary after the system optimization can increase the utilization rate of mineral resources by 63.2% compared with the original design plan, extend the service life of the mine by 7.4 years, and increase the expected NPV by 166.5%. This optimization system realizes the deep integration of geological data analysis, economic parameter modeling and intelligent algorithm decision-making, providing a scientific decision-making basis for the full life cycle development planning of open-pit mines.