<p>Tunnel Boring Machines are widely used in the construction of long tunnels. However, the control parameters in boring are selected by the operators, making it difficult to ensure the stability of the process. To address this issue, an optimization decision-making method for Tunnel Boring Machine control parameters was established. The method consists of three modules: boring performance prediction, multi-objective optimization, and control parameter decision-making. It can output recommended values for total thrust and cutter head rotation speed based on the project's progress and cost requirements. The optimization decision-making method was applied to a water supply tunnel in Xinjiang, China, resulting in an increase in tunneling speed and average single cutter rock-breaking volume by 11.0–15.6% and 4.5–5.3%, respectively. No tunneling stagnation or equipment damage occurred due to improper control parameter selection, proving the method to be feasible and effective. The research results can provide a reference for the decision-making of control parameters in similar projects.</p>