Abstract: In this paper, a hybrid optimization scheme based on the dynamic adaptation salp swarm algorithm and Gauss pseudospectral method is proposed for the reentry trajectory optimization problem of hypersonic vehicles. Firstly, to make the exploration and exploitation process of the salp swarm algorithm more appropriate, a novel dynamic adaptation salp swarm algorithm is developed. Then, for the drawback that the Gauss pseudospectral method is sensitive to the initial guess, a dynamic adaptation salp swarm algorithm is employed to optimize the control variables first for its strong global search capability. The obtained approximate global optimal solution is taken as the initial guess, and the Gauss pseudospectral method is utilized to optimize the control variables sequentially. The simulations verify the effectiveness and feasibility of the proposed dynamic adaptation salp swarm algorithm and hybrid optimization scheme.

Key words: Hypersonic vehicle, Reentry trajectory optimization, Gauss pseudospectral method, Salp swarm algorithm