This paper proposes a dynamic response optimization algorithm for boarding equipment on floating offshore wind turbine foundations, to address the problems of large control delay and low control accuracy in the dynamic response of offshore boarding equipment under harsh sea conditions. Capacitive acceleration sensors are deployed on the boarding equipment to monitor the displacement amplitude under multi-degree-of-freedom motion response. The water level allocation problem of the ballast tank is transformed into a mathematical optimization model with the objective of minimizing the displacement difference at each monitoring point, and is solved using the Harris Hawks optimizer (HHO) to obtain the optimal water level allocation scheme. An improved PID controller is adopted to accurately track the water level allocation scheme, and the water pumps dynamically adjust the inflow or outflow of the ballast tank to actively suppress the motion of the boarding equipment. Experimental results show that this method can significantly reduce the motion difference between each position point, decreasing the maximum displacement error from 1.33 m to 0.20 m. Under extreme sea conditions, the dynamic response delay is only 0.5 s and the overshoot is small (fluctuating around 0.3%), demonstrating that the algorithm can maintain the stability of the boarding equipment more quickly and accurately, effectively improving the safety of boarding operations.