• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Applied Soft Computing >A multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observations
【24h】

A multi-objective genetic algorithm applied to autonomous underwater vehicles for sewage outfall plume dispersion observations

机译：一种应用于水下航行器的排污口羽流弥散观测的多目标遗传算法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This work presents a multi-objective genetic algorithm to solve route planning problem for multiple autonomous underwater vehicles (AUVs) for interdisciplinary coastal research. AUVs are mobile unmanned platforms that carry their own energy and are able to move themselves in the water without intervention from an external operator. Using AUVs one can provide high-quality measurements of physical properties of effluent plumes in a very effective manner under real oceanic conditions. The AUVs route planning problem is a combinatorial optimization problem, where the vehicles must travel through a three-dimensional irregular space with all dimensions known. Therefore, minimization of the total travel distance while considering the maximum number of water samples is the main objective. Besides the AUV kinematics restrictions other considerations must be taken into account to the problem, like the ocean currents. The practical applications of this approach are the environmental monitoring missions which typically require the sampling of a volume of water with non-trivial geometry for which parallel line sweeping might be a costly solution. Some real-life test problems and related solutions are presented.
机译：这项工作提出了一种多目标遗传算法来解决跨学科海岸研究的多个自动水下航行器（AUV）的路线规划问题。 AUV是可携带自身能量的移动无人平台，无需外部操作员干预即可在水中移动。使用AUV可以在真正的海洋条件下以非常有效的方式对出水烟羽的物理性质进行高质量的测量。 AUV的路线规划问题是组合优化问题，其中车辆必须在已知所有尺寸的三维不规则空间中行驶。因此，在考虑最大水样数量的同时，使总行驶距离最小化是主要目标。除了AUV运动学限制外，还必须考虑到其他问题，例如洋流。这种方法的实际应用是环境监测任务，通常需要对具有非平凡几何形状的一定体积的水进行采样，对此，平行线扫掠可能是一个昂贵的解决方案。介绍了一些现实生活中的测试问题和相关解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号