Abstract: In order to realize the design and application of double-sharp edge design in lightweight materials, a double-sharp edge fender of a certain vehicle made of aluminum alloy was taken as the research object. To solve the problem the skid line of sharp edges could not be controlled easily, a surrogate model based on support vector machine regression (SVR) was used, and an optimization model was established by particle swarm optimization (PSO) to seek the optimal process parameters. The blank holder force B.H.F., drawbead coefficient ƒ₁, drawbead coefficient ƒ₂, and friction coefficient μ were selected as the optimization parameters, and the maximum slippage of the primary and secondary ridges was taken as the optimization objective, the SVR model was established, and the PSO was used to establish a multi-objective optimization to seek the optimal process parameters. The optimal combination of process parameters was obtained as follows: blank holder force B.H.F.=1281.43 kN, drawbead coefficient ƒ₁=0.193, friction coefficient μ=0.150, drawbead coefficient ƒ₂=0.205, the optimized process parameters were simulated and obtained. The slippage of the main ridgeline was 1.92 mm, and the slippage of the auxiliary ridgeline was 1.31 mm, which met the judgment standard of forming simulation. Finally, the optimized process parameters and simulation results were used to guide the die tryout, and the qualified parts with good forming quality and no obvious ridgeline skid line were obtained. The research shows that the combination of SVR and PSO can quickly and effectively optimize the aluminum alloy double-sharp edge fender forming process plan.