国防科技大学学报2017，Vol.39Issue(6)：98-102,5.DOI:10.11887/j.cn.201706015
地磁仿生导航的多目标进化搜索算法
Multi-objective evolutionary search algorithm for geomagnetic bio-inspired navigation
摘要
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.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Key words
bio-inspired geomagnetic navigation/multi-objective search/hex-path searching algorithm/evolutionary algorithm分类
信息技术与安全科学引用本文复制引用
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):98-102,5.基金项目
国家自然科学基金资助项目(51379176) （51379176）
