电子战中的干扰资源分配问题是典型的组合优化问题, 同时也是NP难题, 求解途径除了各种典型的数学规划方法之外, 各种智能优化方法也在近年来得到非常广泛的应用。针对这一技术应用趋势, 在概要阐述干扰资源分配的数学模型及其典型求解框架的基础上, 以遗传算法、免疫算法、进化算法、粒子群算法、蚁群算法及其各种改进算法等为典型代表, 对智能优化方法在干扰资源分配问题中的应用研究进展情况进行了综述, 总结了各种方法的应用要点, 展现了该应用方向上的发展现状, 从而为各方法的工程应用和人工智能在电子战中的应用示范研究提供了有益借鉴。

The jamming resource allocation in electronic warfare is a typical combinatorial optimization problem, and is also a NP-hard problem.Besides the typical mathematical programming approaches, all kinds of intelligent optimization methods have been widely used in recent years too. In this paper, the jamming resource allocation mathematic model and its typical solving framework are firstly introduced. Taking the genetic algorithm, immune algorithm, evolutionary computation, particle swarm optimization algorithm, ant colony algorithm, and the various improved methods as typical examples, a review is made to the research progresses of application of such intelligent optimization methods in jamming resource allocation problem. The main points of the application of each method are summarized with its development status.It can be taken as a reference for the engineering application of each method, and for the research of artificial intelligence in electronic warfare.