Bychkov Igor, Kenzin Maksim and Maksimkin Nikolay
Matrosov Institute for System Dynamics and Control Theory,
Siberian Branch of the Russian Academy of Science,
Irkutsk, Russia
Cooperative multi-objective missions for connected heterogeneous groups of autonomous underwater vehicles are highly complex operations and it is an important and challenging problem to effectively route these vehicles in the dynamic environment under given communication constraints. We propose a solution for the task allocation and path planning problems based on the evolutionary algorithms that allows one to obtain feasible group routes ensuring well-timed accomplishment of all objectives.
KEYWORDS
autonomous underwater vehicle; mission planning; heterogeneous group routing; evolutionary algorithm
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