基于人工鱼群算法的反坦克火力分配模型研究

Research on Anti-Tank Firepower Assignment Model Based on Artificial Fish Swarm Algorithm

人工鱼群算法是一种新型仿生随机搜索全局优化方法,用以解决传统火力分配模型不易求解的问题.在建立反坦克火力分配数学模型的基础上,运用人工鱼群算法对模型进行了最优化求解,并采用基于升序排列的操作方法,实现从人工鱼群算法的连续变量到武器目标分配离散序列的转换.实例的计算结果表明,该优化算法对于模型的求解具有较好的收敛性,为解决火力优化分配问题提供了参考.

Artificial fish swarm algorithm ( AFSA ) is a new bionic random searching global optimization technology.To resolve the difficulties in solving the traditional firepower assignment model , the AFSA is introduced.Based on the developed mathematic model of anti-tank firepower assignment , enhanced AFSA is adopted to work out the optimal solution.It uses ascending order based operation method to achieve the conversion from the continuous variables in the AFSA to the discrete sequences in the weapon target assignment.The practical calculation results show that the algorithm has good convergence and provides references to solve such problems.