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基于改进蚁群算法的航路规划优化方法
引用本文:李进军,许瑞明,刘德胜. 基于改进蚁群算法的航路规划优化方法[J]. 装备指挥技术学院学报, 2007, 18(3): 99-103. DOI: 10.3783/j.issn.1673-0127.2007.03.022
作者姓名:李进军  许瑞明  刘德胜
作者单位:1. 海军大连舰艇学院,舰载武器系,辽宁,大连,116018;军事科学院,军事运筹分析研究所,北京,100091
2. 军事科学院,军事运筹分析研究所,北京,100091
摘    要:航路规划优化是作战任务规划和作战筹划的重要内容之一,也是军事运筹研究的热点问题。在对兵力航路规划优化问题分析的基础上,提出了基于改进蚁群算法的兵力航路规划优化方法。仿真结果表明,改进蚁群算法有效快速收敛到较满意的结果,可以为兵力航路规划优化问题的深入研究提供一定的借鉴和参考。

关 键 词:改进的蚁群算法 航路规划 优化方法
文章编号:1673-0127(2007)03-0099-05
收稿时间:2006-05-30
修稿时间:2006-05-30

A Method of Route Planning Optimization Based on Improved Ant Colony Algorithm
LI Jinjun,XU Ruiming,LIU Desheng. A Method of Route Planning Optimization Based on Improved Ant Colony Algorithm[J]. Journal of the Academy of Equipment Command & Technology, 2007, 18(3): 99-103. DOI: 10.3783/j.issn.1673-0127.2007.03.022
Authors:LI Jinjun  XU Ruiming  LIU Desheng
Affiliation:1. Department of Shipborne Weapon Systems, Dalian Naval Academy, Dalian Liaoning 116018, China; 2. Institute of Military Operations Research and Analysis, Academy of Military Science, Beijing 100091, China
Abstract:Route planning is an important part of combat planning and preparing, and is the focus of military operations research. According to the analysis result of general route planning problem, a method of route planning optimization is discussed in this paper based on improved ant colony algorithm. The simulation results show that the method can gain satisfying route plan. The method can provide some reference value to related researchers.
Keywords:improved ant colony algorithm   route planning   optimal method
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