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    基于改进 DDE 算法的协同目标分配问题研究

    Cooperative Target Assignment Based on Improved DDE Algorithm

    • 摘要: 为促进作战意图向作战行动序列落地, 简要剖析了当前协同目标分配研究存在的不足, 提出了综合考虑突防概率等对抗因素的问题模型. 以离散差分进化算法为基础, 从种群初始化、自适应差分变异、随机均匀交叉、约束处理 4 个方面对算法进行了改进. 通过仿真实验, 验证了改进差分进化算法求解协同目标分配问题的实时性和有效性.

       

      Abstract: In order to promote the landing of combat intention to combat action sequence, this paper briefly analyzes the shortcomings of current research on cooperative target assignment, and puts forward a problem model that comprehensively considers the factors of confrontation such as penetration probability. Based on the discrete differential evolution algorithm, the algorithm is improved from four aspects: population initialization, adaptive differential variation, random uniform crossover and constraint processing. Through the simulation experiment, the real-time performance and effectiveness of the improved differential evolution algorithm are verified.

       

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