| 基于改进蚁群算法的战时不确定性路径规划模型求解 |
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| 引用本文： | 王浩,汤再江,常广建.基于改进蚁群算法的战时不确定性路径规划模型求解[J].装甲兵工程学院学报,2009,23(2):22-25. |
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| 作者姓名： | 王浩 汤再江 常广建 |
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| 作者单位： | 1. 装甲兵工程学院,装备指挥与管理系,北京,100072
2. 装甲兵工程学院,训练部,北京,100072 |
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| 摘 要： | 战时路径规划的不确定性包括参数、约束条件和决策目标等的不确定性。以基本蚁群算法为基础，结合随机模拟和模糊模拟技术，提出了一种改进蚁群算法来求解战时不确定性路径规划问题，并通过仿真示例与其他算法进行了比较。结果表明：该算法求解效率更高，求解过程更为直观，能够满足战时不确定性路径规划问题的研究。
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| 关 键 词： | 不确定性 路径规划 改进蚁群算法 |
Model Solution of the Uncertain Route Planning in Wartime Based on Modified Ant Colony Algorithm |
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| WANG Hao,TANG Zai-jiang,CHANG Guang-jian.Model Solution of the Uncertain Route Planning in Wartime Based on Modified Ant Colony Algorithm[J].Journal of Armored Force Engineering Institute,2009,23(2):22-25. |
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| Authors: | WANG Hao TANG Zai-jiang CHANG Guang-jian |
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| Institution: | 1. Department of Equipment Command and Administration, Academy of Armored Force Engineering, Beijing 100072, China; 2. Department of Training, Academy of Armored Force Engineering, Beijing 100072, China) |
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| Abstract: | Uncertainty of routing-planning includes uncertainty of parameters, restrictive conditions and decision-targets. Based on basic ant-colony algorithm and random and blur simulation technology, this paper puts forward a modified ant-colony algorithm to solve such a problem. Demonstrations show that the high performance and intuitional process can meet the demands for uncertain route-planning in wartimes. |
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| Keywords: | uncertainty route-planning modified ant-colony algorithm |
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