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.
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