Abstract
With the development of military and UAV technology in various countries, collaborative autonomous operations of UAV group have attracted widespread attention. Based on this background, this paper analyzes the collaborative autonomous attack process of UAV group. Based on the collaborative combat process, a UAV attack task assignment model was established. The intelligent optimization algorithm is used to solve the model. Under the multi-objective optimization framework, an intelligent optimization algorithm is proposed to solve the attack task allocation scheme. Based on the Non-dominated Sorting Genetic Algorithm- II (NSGA-II), this algorithm adds the simulated annealing retention strategy, adaptive child-parent merger strategy, and Tent initialization strategy. And Tent Simulate Anneal NSGA- II algorithm (TSANSGA-II) was proposed. Based on a typical simulation scenario, an attack task allocation model is established. Through simulation and performance testing, it is proved that the algorithm can quickly and accurately solve the model.
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