Abstract: As an important part of the task planning of group targets defense, the modeling and optimization of weapon-target assignment are of great significance to improve the defense effect and ensure the quality of task completion. In view of a basic trend that the defense strategy changes from the traditional point-to-point saturation attack to a reasonable firepower coverage, a weapon-group targets assignment model is established by considering the effects of damage threshold, total weapon resources and 0-1 integer constraints. The proposed model is based on the principles of maximum attack effectiveness, its own maximum surplus value and minimum weapon consumption. The optimization framework of weapon-group targets assignment based on NSGA-Ⅲ is proposed, and the specific optimization process of the algorithm is given. The simulation of combat mission is realized, and the convergence metric and spacing metric are used to compare the performances of NSGA-Ⅲ, SPEA2 and NSGA-Ⅱ. The simulated results demonstrate that NSGA-Ⅲ has better performance, which can effectively solve the weapon-target assignment modeling and optimization problem of group targets defense.

Key words: grouptargets, weapon-targetassignment, multi-objectiveevolutionaryalgorithm, NSGA-Ⅲ