| 引用本文: | 李红,刘明雍,刘坤.地磁仿生导航的多目标进化搜索算法.[J].国防科技大学学报,2017,39(6):98-102.[点击复制] |
| LI Hong,LIU Mingyong,LIU Kun.Multi-objective evolutionary search algorithm for geomagnetic bio-inspired navigation[J].Journal of National University of Defense Technology,2017,39(6):98-102[点击复制] |
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| 地磁仿生导航的多目标进化搜索算法 |
| 李红, 刘明雍, 刘坤 |
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(西北工业大学 航海学院， 陕西 西安 710072)
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| 摘要: |
| 针对水下自主航行器地磁多参量多目标搜索的问题，提出一种基于磁趋势敏感的多目标进化搜索算法。在进化算法的结构下，利用地磁场参量与导航路径的约束关系，以磁趋势敏感作为后验评估准则，建立导航模型，使得地磁多分量伴随航行器的运动同时同地收敛至各自目标值，实现导航目的。通过与六边形路径搜索算法的仿真对比，验证了多目标进化搜索算法的有效性和优越性。 |
| 关键词: 地磁仿生导航 多目标搜索 六边形路径搜索算法 进化算法 |
| DOI：10.11887/j.cn.201706015 |
| 投稿日期：2016-09-28 |
| 基金项目:国家自然科学基金资助项目（51379176） |
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| Multi-objective evolutionary search algorithm for geomagnetic bio-inspired navigation |
| LI Hong, LIU Mingyong, LIU Kun |
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(School of Marine Science and Technology, Northwestern Polytechnical University, Xi′an 710072, China)
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| Abstract: |
| Aiming to solve the search problem of geomagnetic multi-component and multi objective, the multi-objective evolutionary search algorithm based on the magneto-taxis sensitivity was proposed for the autonomous underwater vehicles. Combined with the structure of the evolutionary algorithm, this method utilized the restrictive correlation between the geomagnetic components and the navigation path, and the magneto-taxis sensitivity was expressed as a posteriori assessment criteria to establish the navigation model. The geomagnetic multi-component converged to desired value along with the motion of the vehicle at the same time and place, thus realized the navigation goal. Compared with the hex-path searching algorithm, the effectiveness and advantages of the proposed algorithm were validated by the simulation experiments. |
| Keywords: bio-inspired geomagnetic navigation multi-objective search hex-path searching algorithm evolutionary algorithm |
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