电光与控制, 2019, 26 (11): 56, 网络出版: 2020-02-24
基于融合算法的空—地多目标攻击火力分配
Air-to-Ground Multi-target Attack Firepower Assignment Based on Fusion Algorithm
空地多目标攻击 火力分配 蚁群算法 遗传算法 粒子群算法 air-to-ground multi-target attack firepower assignment ant colony algorithm genetic algorithm particle swarm optimization
摘要
空地多目标火力分配是机载空地多目标攻击系统的核心。分析了空地多目标火力分配问题的特点, 提出了不同的最优评价标准, 并根据其对应的目标函数建立了3种空地多目标火力分配模型。以自适应蚁群算法为基础, 利用遗传算子进行交叉变异操作, 结合粒子群算法的思想修改信息素更新规则, 给出了融合算法求解空地多目标火力分配问题的步骤。通过仿真实验验证了融合算法的有效性。
Abstract
The air-to-ground multi-target firepower assignment is the core of the airborne multi-target attack system.The characteristics of air-to-ground multi-target firepower assignment problem are analyzed, and different optimal evaluation criteria are proposed.According to the corresponding objective functions, three air-to-ground multi-target firepower assignment models are established.Based on the adaptive ant colony algorithm, the genetic operator is used to carry out cross-mutation operation, and the pheromone updating rule is modified by referring to the idea of Particle Swarm Optimization (PSO) algorithm.The steps of the fusion algorithm to solve the air-to-ground multi-target firepower assignment problem are given.The effectiveness of the fusion algorithm is verified by simulation experiments.
李天龙, 张军超. 基于融合算法的空—地多目标攻击火力分配[J]. 电光与控制, 2019, 26(11): 56. LI Tian-long, ZHANG Jun-chao. Air-to-Ground Multi-target Attack Firepower Assignment Based on Fusion Algorithm[J]. Electronics Optics & Control, 2019, 26(11): 56.
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