| 基于混合离散粒子群算法的多无人作战飞机协同目标分配 |
| |
| 引用本文： | 叶文,朱爱红,欧阳中辉,范洪达.基于混合离散粒子群算法的多无人作战飞机协同目标分配[J].兵工学报,2010,31(3):331-336. |
| |
| 作者姓名： | 叶文 朱爱红 欧阳中辉 范洪达 |
| |
| 作者单位： | 海军航空工程学院,兵器科学与技术系,山东,烟台,264001;海军航空工程学院,训练部,山东,烟台,264001 |
| |
| 基金项目： | 航空科学基金，海军航空工程学院青年科研基金资助项目 |
| |
| 摘 要： | 针对多无人作战飞机(UCAV)协同目标分配问题,提出了一种基于混合离散粒子群算法的多UCAV协同目标分配方法。混合离散粒子群算法根据多UCAV协同目标分配问题的特点,设计了新的粒子群位置和速度更新公式,并且充分利用粒子群优化算法的全局搜索能力,同时利用禁忌搜索的局部搜索能力,使2种算法的优势得到互补,较为显著地提升了原算法的性能。仿真结果表明:混合离散粒子群算法能够有效地解决多约束条件下多UCAV协同目标分配问题,并且算法简单、灵活,易于实现和扩展。
|
| 关 键 词： | 运筹学 多UCAV协同 目标分配 混合离散粒子群算法 禁忌搜索 |
Multi-UCAV Cooperation Mission Assignment Based on Hybrid Discrete Particle Swarm Optimization Algorithm |
| |
| YE Wen,ZHU Ai-hong,OUYANG Zhong-hui,FAN Hong-da.Multi-UCAV Cooperation Mission Assignment Based on Hybrid Discrete Particle Swarm Optimization Algorithm[J].Acta Armamentarii,2010,31(3):331-336. |
| |
| Authors: | YE Wen ZHU Ai-hong OUYANG Zhong-hui FAN Hong-da |
| |
| Affiliation: | (1.Department of Ordnance Science and Technology, Naval Aeronautical and Astronautical University,2.Department of Training, Naval Aeronautical and Astronautical University,Yantai 264001, Shandong, China) |
| |
| Abstract: | A hybrid discrete particle swarm optimization(HDPSO) algorithm was put forward for multi-UCAV cooperation mission assignment problem.In the algorithm,a new update strategy for the position and speed of particle was applied so as to make the HDPSO algorithm more suitable for multi-UCAV cooperation mission assignment problem.Aiming at the shortcoming of premature and poor resulted from pure PSO,the algorithm performance was enhanced observably by taking full advantage of the global search of particle swarm op... |
| |
| Keywords: | operation research multi-UCAV cooperation task assignment hybrid discrete particle swarm optimization tabu search |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《兵工学报》浏览原始摘要信息 |
|
点击此处可从《兵工学报》下载全文 |
|
