All terrain tracked vehicles are widely used in military

rescue and agricultural fields because of their excellent performance in complex driving environments

but there is relatively little research on their suspension system. In this paper

the multi-objective gray Wolf optimization algorithm is used to optimize the parallel bionic composite suspension system of all-terrain tracked vehicle

so as to improve the ride comfort and ride comfort of the vehicle. Firstly

the multi-scale method is used to solve the system dynamics equations numerically and determine the key objective functions. Secondly

taking displacement transmissibility and natural frequency as optimization objectives

the multi-objective optimization model of the suspension system is established. Finally

an optimization algorithm is used to determine the optimal installation Angle of the spring damper

and the corresponding optimal stiffness coefficient and damping coefficient. The results show that the optimized suspension system has better vibration isolation performance

which verifies the effectiveness of the method in the optimization of complex suspension system

provides theoretical guidance for the parameter setting of simulation experiment

and provides a new idea for solving similar engineering problems.