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论文:2014,Vol:32,Issue(6):894-898 |
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引用本文: |
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刘明雍, 刘坤, 李红, 李洋. 基于时序进化搜索策略的地磁仿生导航研究[J]. 西北工业大学学报 |
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Liu Mingyong, Liu Kun, Li Hong, Li Yang. A Study of Bio-Inspired Geomagnetic Navigation Using Timing Evolution Searching Strategy[J]. Northwestern polytechnical university |
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基于时序进化搜索策略的地磁仿生导航研究 |
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刘明雍, 刘坤, 李红, 李洋 |
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西北工业大学 航海学院, 陕西 西安 710072 |
摘要: |
对先验地磁图的依赖是制约地磁导航发展的关键。受生物无需先验知识的地磁导航行为启发,研究地磁仿生导航问题。从仿生角度,将导航过程归结为多目标搜索问题,建立仿生导航模型。针对导航过程中,地磁场多参量与导航单一路径间存在的因果约束,提出了一种基于时序进化策略的搜索方法,使得多参量收敛伴随并指导导航搜索的进行。仿真结果证实了方法的有效性。 |
关键词:
地磁仿生导航
时序进化搜索策略
多目标搜索
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A Study of Bio-Inspired Geomagnetic Navigation Using Timing Evolution Searching Strategy |
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Liu Mingyong, Liu Kun, Li Hong, Li Yang |
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College of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China |
Abstract: |
The a priori geomagnetic map is the key to the development of geomagnetic navigation. This paper re-searches for bio-inspired geomagnetic navigation inspired by animal navigation behavior without a priori knowledge.We generalize the bio-inspired geomagnetic navigation process as a multi-objective searching problem; then set up abio-inspired navigation model. Considering causality constraint between the geomagnetic multi-parameters and thesingle navigation trajectory,we present a search mode using timing evolution searching strategy to make sure thatthe multi-parameters converge during search and direct navigation. The simulation results and their analysis confirmthe validity of the method. |
Key words:
Computer simulation
constrained optimization
convergence of numerical methods
efficiency
evolu-tionary algorithms
geomagnetism
mathematical models
multiobjective optimization
navigation
time series
trajectories
bio-inspired geomagnetic navigation
timing evolution searching strategy
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收稿日期: 2014-04-02
修回日期:
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DOI: |
基金项目: 国家自然科学基金(51379176、51179156)资助 |
通讯作者:
Email: |
作者简介: 刘明雍(1971-),西北工业大学教授、博士生导师,主要从事水下导航制导与控制研究。
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李洋 在本刊中的所有文章 |
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