A Survey of Intelligent Optimization Algorithms for Weapon Target Assignment (WTA) Problem

In the research on firepower strike optimization of intelligent battlefield multi-weapon platform, in order to improve the overall strike effectiveness of weapons, it is necessary to establish a weapon target allocation model to obtain real-time and accurate strike plans, and obtain strike-related strike parameters through data model comparison. To this end, this article first introduces the concept, classification and basic mathematical model of the WTA problem, and sorts out the progress of the weapon-target assignment (WTA) problem at home and abroad. For the analysis of the WTA problem, you can use the genetic algorithm "survival of the fittest, survival of the fittest" mechanism, the particle swarm algorithm iterative process is simple and fast, and the ant colony algorithm has clear goals and strong scalability, etc. to obtain a precise strike plan to solve the problem of low real-time firepower strikes, The problem of low accuracy, finally pointed out the lack of horizontal comparison between the current WTA problem and the intelligent optimization algorithm research, and clarified the next development direction from the three perspectives of the feasibility, effectiveness and scalability of the WTA problem.