Abstract
Aiming at the problems of too many information points, complex tasks and resources matching, and too many non-inferior solutions in the process of group target operation camouflage planning, a target model and constraint model for group target operation camouflage planning have been established based on improved genetic algorithm. Through the resource constraint adjustment operator and discretization coding, the matching of tasks and resources and the adjustment of task sequence are realized, and the fitness function is constructed to obtain the relative optimal solution. Taking the artillery position group target as an example, the simulation results show that the optimization ability of this method is better than the greedy algorithm. The total time of the generated camouflage task sequence of the proposed method is reduced by an average of 2% compared with the greedy algorithm. The proposed method can assist the commander to carry out camouflage scheme planning and effectively improve the efficiency of operation engineering support.
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