改进蚁群算法求解多目标雷达干扰资源优化分配

摘要

蚁群算法是一种群智能优化算法，其理论来源于自然界中蚂蚁群的寻径行为。针对地对空多目标雷达干扰系统在实战中目标较多情况下的干扰资源分配问题，提出了一种基于蚁群算法的分配优化模型，为解决传统蚁群算法寻优速度慢，容易陷入局部最优解等缺点，在蚂蚁路径选择策略、信息素挥发、信息素更新和精英保留等方面提出相应改进策略，给出改进后算法的具体实现步骤，最后举出实际算例，通过仿真实验，证明了算法的优越性。%Ant colony algorithm is a population intelligent optimization algorithm,and its theory is based on the nature of the ant search for make. For surface-to-air multi-target radar jamming system in actual combat target more cases of interference resource allocation problem, and a model of distribution optimization based on ant colony algorithm is put forward,to solve the traditional ant colony algorithm optimization speed slow,easy to fall into local optimal solutions,such as faults,in the ant routing strategy,pheromone volatilization,pheromone updating and elite reservation etc. The corresponding improvement strategy is put forward, the concrete realization steps of the improved algorithm is given,finally cite the actual case,through the simulation experiment,the superiority of the algorithm is proved.