| 遗传模拟退火算法在机动逃逸策略中的应用 |
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| 引用本文： | 戴邵武,左斌,胡云安.遗传模拟退火算法在机动逃逸策略中的应用[J].飞行力学,2006,24(2):77-80. |
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| 作者姓名： | 戴邵武 左斌 胡云安 |
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| 作者单位： | 海军航空工程学院,控制工程系,山东,烟台,264001 |
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| 摘 要： | 针对垂直平面内的机动逃逸策略问题,提出将遗传算法与模拟退火算法相结合的方法———遗传模拟退火算法,能够实现逃逸者的机动逃逸策略,解决了在大状态空间中的全局最优搜索和评价问题,为处理复杂的决策过程提供了一套有效的途径。通过仿真结果表明,基于遗传模拟退火算法的机动策略能够有效地实现逃逸者的机动逃逸。
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| 关 键 词： | 遗传算法 模拟退火算法 机动逃逸策略 |
| 文章编号： | 1002-0853(2006)02-0077-04 |
| 收稿时间： | 2005-04-19 |
| 修稿时间： | 2005-12-26 |
Learning Evasive Maneuvers Using Genetic-Annealing Algorithms |
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| DAI Shao-wu,ZUO Bin,HU Yun-an.Learning Evasive Maneuvers Using Genetic-Annealing Algorithms[J].Flight Dynamics,2006,24(2):77-80. |
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| Authors: | DAI Shao-wu ZUO Bin HU Yun-an |
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| Institution: | Department of Automatic Control Engineering, Naval Aeronautical Engineering Academy, Yantai 264001, China |
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| Abstract: | To the problem of evasive maneuver games in the vertical plane,based on genetic-annealing algorithms,a kind of evasive maneuver games is proposed in this paper.The algorithm combining genetic algorithms with simulated annealing algorithms is named as a genetic-annealing algorithm,which can solve the problem of global optimal searching in a large state space and critiques.The research also provides a new approach for dealing with complex decision making problems.Simulation results show that the evasive maneuver game based on the genetic-annealing algorithm can effectively realize evasive maneuvers and evade the rival's interception |
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| Keywords: | genetic algorithm simulated annealing algorithm evasive maneuver game |
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