###### Abstract
The optimal placements and orientation angles of the individual engine mounts were found to lower the system's mean force transmissibility across a wide frequency range, and the dynamic characteristics in all three principal directions were measured in their model. The application of optimization methods in the design of fluid mounts was examined by [PERSON] et al. [14]. The authors explored the role of the notch and resonance peak in the dynamic stiffness of fluid mounts. The utility of two additional optimization approaches for selecting the parameter combination that generated the deepest notch and shortest resonant peak, the Enhanced Genetic Algorithm (EGA) and Sequential Quadratic Programming (SQP), was also investigated. The literature on the application of meta-heuristic algorithms (MHs) or evolutionary algorithms (EAs) for engine mounting and part design was reviewed by [PERSON] et al. [15] using finite element (FE) and multibody dynamics (MBD) simulation techniques. The balance of a single cylinder motorcycle engine's crankshaft was changed by [PERSON] et al. [16] to reduce vibration at the motorcycle's touch sensitive point (TSP), which includes the handlebar and footrest. In 2016, [PERSON] and [PERSON] [17] presented a vibration isolation model for a motorcycle mounting system. Their methodology only considers shaking loads, with the purpose of disconnecting vibrations (decoupling) by lowering transmitted loads. [PERSON] et al. [2] improved the performance of a tubular frame intended for Moto2 racing by using an optimization technique based on the size of the frame's single pipes and involving the creation of an objective function to reduce the frame's weight by managing its stiffness. [PERSON] and [PERSON] [18] used CATIA for modeling and Hyper-works for finite element analysis to examine the topology optimization of a 'Chevrolet beat' engine-mounting bracket. By evaluating the design and material arrangement, they were able to lower the weight of the engine-mounting bracket. [PERSON] et al. [19] developed a vehicle vibration model based on GA and fusion robustness analysis, with the targets being the decoupling rate and modal frequency of the mountings in all directions, and GA optimizing the stiffness of the three mountings. Using a multi-objective evolutionary algorithm, [PERSON] and [PERSON] [20] proposed a new design technique for the vibration mitigation of a single-cylinder engine (MOEA). Design components such as the engine's shape and sizing characteristics are shown in [21] to decrease inertia and pressure forces. The purpose of this study is to employ computational design optimization algorithms to determine optimal design parameters that minimize the loads induced by shaking forces, which eventually isolate mechanical vibrations. The following is a breakdown of the structure of the paper. Section 2 provides background information on engine mount system optimization techniques, specifically global optimization algorithms. In Section 3, we presetn advanced computerized automated optimization approaches that can be used to improve the problem's design. GWO [22], GA [23], and SQP [24] were used to find the best design parameters for the two 12 DOF PMS models given. In Section 4, the computational simulation is carried out, and the simulation results are presented and explained in detail. Finally, the final section is summarized in the conclusion.