动态WTA问题的混沌人工鱼群算法

针对不同作战平台上多个武器单元对一批目标进行射击时的武器目标分配问题，建立了该问题的数学模型。采用混沌人工鱼群算法对动态条件下的武器目标分配问题进行求解，并设计一个实例进行仿真实验。仿真结果表明，在时间约束条件下该算法较遗传算法更具优越性，验证了混沌人工鱼群算法用于动态武器目标分配的有效性。

Dynamic Weapon Target Assignment Method Based on Chaotic Artificial Fish Swarm Algorithm

Aimming at the problem of weapon target assignment (WTA) when multiple weapon units on diverse battle platforms head off a group of targets, the mathematic model of this problem is established. A assignment method based on chaotic artificial fish swarm algorithm is proposed for solving the dynamic WTA problem, and a typical instance is designed for simulation experiment. The simulation results demonstrate that this method is superior in the condition of time restraint comparing with the genetic algorithm, and validate the effectiveness of employing the chaotic artificial fish swarm algorithm in resolving dynamic WTA problem.