There is a growing need for the lightweight acquisition, tracking, and pointing (APT) system during satellite launches due to the escalating demand in space missions. The APT system may work under multiple loading cases during different launch steps. Hence, this study introduces an innovative amalgamation of genetic operation and bi-directional evolutionary structural optimization (BESO) to fulfill the multi-objective requirements through the attainment of Pareto optimal fronts. A typical instance in two dimensions illustrates the effectiveness of the innovative multi-objective approach by contrasting the outcomes acquired from a solitary fulfillment requirement under two distinct burdens. Furthermore, the novel multi-objective method is utilized to remove inefficient material from the APT system by 20.12%. To ensure the safety of the lightweight design, the simulation and experiment of random vibration are both investigated according to the fundamental natural frequency of the launcher.