关键词: 火力分配, 强度Pareto进化算法, 多目标优化

Abstract: Fire distribution is an important part of the pre-war mission planning. Considering the effects of attack, resource constraints and other conditions, multi-objective mathematical model of fire distribution is established based on the principles which aim at the maximum of attack effectiveness, the minimum of the weapon consumption and its own damage. Focus on the shortcoming of traditional method in solving problems of multi-objective optimization of fire distribution such as bad convergence effects, uneven Pareto front distribution and so on, the neighbor propagation algorithm is introduced into SPEA2 algorithm, which improves the diversity maintenance strategy of SPEA2 algorithm and optimizes its performance. Through experimental simulation, the results show that the improved SPEA2 algorithm has properties of good convergence effects and even Pareto front distribution, which proves the rationality of the model and the feasibility of the algorithm.

Key words: weapon-target assignment, Strength Pareto Evolutionary Algorithm 2（SPEA2）, multi-objective optimization