|
|||||
|
|
| 基于蚁群算法的舰艇编队多目标识别模型 | |
| 引用本文： | 王哲,雷中原,梁义芝.基于蚁群算法的舰艇编队多目标识别模型[J].现代防御技术,2007,35(3):6-9. |
| 作者姓名： | 王哲 雷中原 梁义芝 |
| 作者单位： | 1. 大连舰艇学院,研究生1队,辽宁,大连,116018 2. 空军工程大学,导弹学院,陕西,三原,713800 3. 大连舰艇学院,科研部,辽宁,大连,116018 |
| 摘 要： | 现代海战中,舰艇编队面临的威胁目标复杂多样,正确识别目标是做出准确的军事决策的前提。基于蚁群算法的并行最优化特点,引入近邻函数,将目标识别问题转化为最优化聚类问题,提出了一种新的多目标识别算法。实验结果表明此方法是有效的,具有一定的军事现实意义。 |
| 关 键 词： | 蚁群算法 目标识别 近邻函数 |
| 文章编号： | 1009-086X(2007)-03-0006-04 |
| 修稿时间： | 2006年5月9日 |
Multi-Object Recognition Model of Vessels Formation Based on Ant Algorithm |
|
| WANG Zhe,LEI Zhong-yuan,LIANG Yi-zhi.Multi-Object Recognition Model of Vessels Formation Based on Ant Algorithm[J].Modern Defence Technology,2007,35(3):6-9. | |
| Authors: | WANG Zhe LEI Zhong-yuan LIANG Yi-zhi |
| Abstract: | Enemy objects faced by flect are complicated in modern marine wars.Recognizing enemy objects correctly is the premise of veracious military decisions.Based on the parallel optimization character of ant algorithm,adjacent function is imported,object recognition problem is transformed into optimization problem,then a new method is put forward for object recognition.Test results shows the method is efficient and has some military significance. |
| Keywords: | ant algorithm target recognition adjacent function |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |