<p>A theoretical framework for calculating the convection and potential leaching volumes of in-situ leaching (ISL) of uranium was established based on simulated groundwater streamlines. This framework was further enhanced by integrating it with the optimization of particle release. A multi-objective optimization program was developed using a genetic algorithm after extensive testing. Consequently, an optimization system combining particle release optimization and a multi-objective optimization system for ISL flow fields (MOFISL) was established. Implementing the optimization system at a specific site in Bayan-Uul, we first determined the most effective method for positioning particles in the given area. Subsequently, the focus of MOFISL was directed towards optimizing the pumping rate while simultaneously minimizing external influences on the flow field, resulting in a series of Pareto optimal solutions. The results indicate that the potential leaching volume is primarily influenced by the number of particles released horizontally, with the vertical release having minimal effects. While comparing edge and corner injection wells to internal injection wells, it is notable that internal injection wells have a more complex local flow field. This complexity necessitates a greater quantity of particles for accurate potential leaching volume calculations. A multi-objective optimization management model was developed by adjusting the weight of the optimal solutions for the ISL of uranium; the model offers efficient and accurate optimization methods for the decision-making process. The demonstrated adaptability and potential for future enhancements highlight the versatility of this optimization system.</p>