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Task Allocation and Path Planning for Network of Autonomous Underwater Vehicles

机译:自主水下航行器网络的任务分配和路径规划

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Cooperative multi-objective missions for connected heterogeneous groups of autonomous underwatervehicles are highly complex operations and it is an important and challenging problem to effectively routethese vehicles in the dynamic environment under given communication constraints. We propose a solutionfor the task allocation and path planning problems based on the evolutionary algorithms that allows one toobtain feasible group routes ensuring well-timed accomplishment of all objectives.
机译:连接的不同种类的自主水下航行器的协作多目标任务是高度复杂的操作,在给定的通信约束下,如何在动态环境中有效地路由这些车辆是一个重要且具有挑战性的问题。我们提出了一种基于进化算法的任务分配和路径规划问题的解决方案,该算法允许获得可行的团队路线,从而确保所有目标的及时完成。

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