| 求解多机协同任务规划的改进遗传算法 |
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| 引用本文： | 陈成,邢立宁,谭跃进.求解多机协同任务规划的改进遗传算法[J].兵工自动化,2010,29(9):28-31. |
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| 作者姓名： | 陈成 邢立宁 谭跃进 |
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| 作者单位： | 国防科学技术大学,信息系统与管理学院,湖南,长沙,410073;国防科学技术大学,信息系统与管理学院,湖南,长沙,410073;国防科学技术大学,信息系统与管理学院,湖南,长沙,410073 |
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| 摘 要： | 针对多无人机协同任务规划问题,提出一种改进的遗传算法。根据每个目标所需执行的任务类型,采用矩阵式编码方式,引入启发式规则来确定各飞机执行其所要执行任务的先后顺序,并采用模拟退火算法来对结果进行局部优化。实验结果表明,该算法能有效求解多机协同任务的规划问题。
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| 关 键 词： | 多机协同 任务规划 矩阵编码 启发式规则 局部优化 |
| 收稿时间： | 2010/11/8 0:00:00 |
Improved Genetic Algorithm for Cooperating Multi Air Vehicle Mission Planning |
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| Chen Cheng,Xing Lining,Tan Yuejin.Improved Genetic Algorithm for Cooperating Multi Air Vehicle Mission Planning[J].Ordnance Industry Automation,2010,29(9):28-31. |
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| Authors: | Chen Cheng Xing Lining Tan Yuejin |
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| Affiliation: | Chen Cheng,Xing Lining,Tan Yuejin(School of Information System & Management,National University of Defense Technology,Changsha 410073,China) |
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| Abstract: | Aiming at the issue of cooperating multiple air vehicles mission planning,an improved genetic algorithm is put forward.According to the task types,adopt matrix encoding and heuristic rule to ensure the task sequence of every air vehicle.The simulated anneal algorithm is used for local optimization.The testing result shows that the algorithm can effectively resolve the problem of cooperating multi air vehicle. |
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| Keywords: | cooperating multi air vehicle mission planning matrix encoding heuristic rule local optimization |
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