Weapon-target allocation optimization algorithm based on IDPSO
Weapon-target allocation optimization algorithm based on IDPSO
复制标题
DOI：
--
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Fan Cheng-l
中科院分区：
文献类型：
--
作者：
Fan Cheng-l
针对武器-目标分配（WTA）优化问题的特点，研究了改进离散粒子群优化（IBPSO）算法在WTA优化中的应用问题，首先建立了武器资源使用受限的WTA优化模型，其次针对多约束WTA问题构造了一种物品编码方案，并在此基础上提出了一种改进离散粒子群优化（IBPSO）算法。最后，实验结果表明，该算法具有更强的全局搜索能力和更快的收敛速度，特别适合于求解大规模WTA问题，适应了现代战争实时性的要求。
According to the characteristics of the weapon-target allocation(WTA)optimization problem,some issues about the application of the improved discrete particle swarm optimization(IBPSO)algorithm to WTA are studied.Firstly,the WTA optimization model is proposed with the restrictive use of weapon resource.Secondly,aparticle coding scheme is constructed for the multiple constraints WTA problem.Furthermore,the IDPSO algorithm with a doubt factor and a repulsion factor is projected.Finally,experimental results demonstrate this algorithm has a more powerful global search capability and higher convergence velocity,especially for the solving large-scale WTA problem,and adapts to the requirements of modern war in real-time.