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应用模糊变权的启发式搜索进行飞行轨迹优化 被引量:4

Heuristic Search with Fuzzy ChangedWeight for Flight Trajectory Optimization
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摘要 回顾了军机轨迹优化问题的提出及研究历史,介绍了几种主要方法的特点,特别是启发式搜索算法应用于飞行轨迹优化问题时存在的主要问题。提出为了得到较好的近优路径而采取的模糊变权处理方法。通过计算不同加权下解的情况,说明模糊变权方法是使加权随具体情况作相应调整的有效手段,为提高飞行路径规划系统的有效性开辟了一个新思路。 Recently heuristic search algorithm is extensively used in route replanning in tactical flight. The different representation of heuristic function could result in different optimization trajectories. Thus, the weights in the function determine the optimization trajectory since the number of the options in the function is constant and their representation are certain. In this paper, a problem of determining these weights is considered. A regular method is composite, however, the optimization result depends on the human and cannot adjust according to the situation. To avoid this advantage, a fuzzy changedweight method was used. In this method, only the constantweight of each option depends on human and the weight changes according to the value of each option. We got a better result than using the regular method by computing an example. It was confirmed that this method is efficient to adjust the weights of the heuristic function by comparing with the regular method.
作者 胡昱 高金源
出处 《飞行力学》 CSCD 北大核心 1998年第2期46-50,共5页 Flight Dynamics
关键词 战术飞行 启发式搜索 模糊数学 Trajectory optimization in tactical flight Heuristic search Fuzzy mathematics Weight
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  • 1傅京孙等编著..人工智能及其应用[M].北京:清华大学出版社,1987:403.

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