航空兵器Issue(3)：37-43,7.DOI:10.19297/j.cnki.41-1228/tj.2018.03.006
基于离散映射的量子粒子群优化算法求解WTA问题
Quantum Behaved Particle Swarm Optimization Algorithm for Solving the WTA Problem Based on Discrete Mapping
摘要
Abstract
In view of the weapon target assignment(WTA)problem and its characteristics,this pa-per puts forward a quantum particle swarm optimization algorithm with discrete mapping.First of all,a tar-get allocation model is established for the damage benefit obtained by the weapon system in the target at-tack process.A method of coding adjustment based on discrete mapping is proposed to project the contin-uous particle position vector onto the discrete space to avoid the noncompliance of the model constraint so-lution for improving particle utilization.Through comparison of simulation validation,the improved algo-rithm has superior speed of convergence and stability.The experimental results show that the proposed method can effectively solve the WTA problem.关键词
武器目标分配(WTA)/量子粒子群优化算法/离散映射/编码调整Key words
weapon target assignment (WTA)/quantum particle swarm optimization algorithm/dis-crete mapping/coding adjustment分类
军事科技引用本文复制引用
刘琨,潘翔宇..基于离散映射的量子粒子群优化算法求解WTA问题[J].航空兵器,2018,(3):37-43,7.基金项目
航空联合基金项目(6141B05110203) （6141B05110203）
