水下环境下最优任务规划

2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI) Pub Date : 2013-12-02 DOI:10.1109/URAI.2013.6677395

Daegil Park, Jonghui Han, W. Chung

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引用次数: 4

摘要

本文提出了自主水下航行器的任务规划方法。为了设置最优任务调度，采用遗传算法求解旅行商问题，提出了同时考虑欧氏距离和当前信息的成本函数。此外，还考虑了优先级和障碍等约束条件。通过仿真验证，得到了有价值的仿真结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Optimal mission planning for underwater environment

In this paper, we suggest the mission planning method for autonomous underwater vehicle. In order to set the optimal mission scheduling, we solve the traveling salesman problem using genetic algorithm, and we suggest the cost function which considering both Euclidean distance and current information. In additionally, constraints such as priority and obstacles is considered. By checking the simulation, we achieved the valuable simulation results.

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来源期刊

2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)

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