基于混合粒子群优化的编队防空目标分配  

Weapon Target Assignment for Air Defense Based on Hybrid Particle Swarm Optimization

作　　者：王幸运[1] 陈杰生[1] 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《电讯技术》2013年第2期122-126,共5页Telecommunication Engineering

摘　　要：针对防空作战中的多批次目标分配问题进行了研究。首先,建立了目标分配的约束优化模型;其次,提出了一种混合式粒子群优化算法用于问题的求解;然后,给出了问题求解的详细步骤和粒子群算法的应用规则;最后,基于仿真算法验证了模型的正确性和算法的有效性及计算实时性。The problem of target assignment of multiple formations is studied in air defense. Firstly, the restraint optimization model of target assignment is built. Secondly, a mixing particle swarm optimization（PSO） algorithm is put forward to solve the problem. Then, the detailed steps for solving problem are given. Finally, the correctness of model and real time computation ability and the validity of algorithm are verified based on simulation.

关 键 词：防空作战 目标分配 粒子群优化 约束优化 混沌优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构] E926.4[自动化与计算机技术—计算机科学与技术]