计算机应用与软件2012，Vol.29Issue(12)：306-308,317,4.DOI:10.3969/j.issn.1000-386x.2012.12.086
应用于武器-目标分配问题的量子行为粒子群优化算法
QUANTUM BEHAVIOUR PARTICLE SWARM OPTIMISATION APPLIED TO WEAPON TARGET ASSIGNMENT PROBLEM
李欣然 1靳雁霞2
作者信息
- 1. 中北大学电子与计算机科学技术学院 山西太原030051
- 2. 中北大学仪器科学与动态测试教育部重点试验室 山西太原030051
- 折叠
摘要
Abstract
WTA problem is vital in modern warfare. The WTA model is built aiming at minimum failure probability in allocating weapons for shooting all the targets. This paper puts forward a quantum behaviour particle swarm optimisation algorithm with inertia weight adaptive adjustment to overcome the deficiencies of premature convergence and low optimisation efficiency the existing algorithm has in solving such kind of problems. First, the concept of focusing distance changing rate is introduced, the inertial weight factor is formulated as the function of focusing distance rate so as to provide the algorithm with dynamic adaptability. Meanwhile, an effective method of judging and preventing premature and stagnation is embedded into the algorithm. The optimisation example shows that this algorithm can effectively solve the WTA problems.关键词
基于量子行为的粒子群优化算法(QPSO)/惯性权重/聚焦距离变化率/变异/武器-目标分配(WTA)Key words
Quantum-behaved particle swarm optimisation (QPSO)/Inertia weight/Rate of focus distance changing/Mutation/Weapon target assignment分类
信息技术与安全科学引用本文复制引用
李欣然,靳雁霞..应用于武器-目标分配问题的量子行为粒子群优化算法[J].计算机应用与软件,2012,29(12):306-308,317,4.
