Research on Weather Navigation Algorithm Based On Rolling Window Optimization

DOI

10.2991/iccia-16.2016.41How to use a DOI?

Keywords

weather navigation; optimization; sub-target; rolling window.

Abstract

Weather navigation play an important role in real-time sea navigation. The main researches about weather navigation include establish the meteorological model based on the meteorological data, and according to the real-time sensor of marine information combined with weather navigation algorithm plan route dynamically. This paper mainly uses the rolling window optimization algorithm to achieve the weather navigation function. The rolling window optimization algorithm only reference the current environment information and without any prior knowledge of the past and future, so in simulation experiment planning route fall into local oscillation, and lead to weather navigation cannot be completed. In this paper, considered the historical information, a new method which uses the local second optimization sub-target as the local optimization sub-target achieve the idea of global optimal.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qin Wu
AU  - Yang Liu
AU  - Xiaogang Li
PY  - 2016/09
DA  - 2016/09
TI  - Research on Weather Navigation Algorithm Based On Rolling Window Optimization
BT  - Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 227
EP  - 232
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.41
DO  - 10.2991/iccia-16.2016.41
ID  - Wu2016/09
ER  -