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
%0 Journal Article
%1 meganathan2018allocation
%A Meganathan, Natarajan
%D 2018
%E Bychkov Igor, Kenzin Maksim
%E Nikolay, Maksimkin
%J International Journal of Computer Networks & Communications (IJCNC)
%K algorithm autonomous evolutionary group heterogeneous mission planning; routing; underwater vehicle;
%N 2
%P 33-42
%R 10.5121/ijcnc.2018.10204
%T Task Allocation and Path Planning for Network of Autonomous Underwater Vehicles
%U http://airccse.org/journal/ijc2018.html
%V 10
%X 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
@article{meganathan2018allocation,
abstract = {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 },
added-at = {2018-04-18T02:18:20.000+0200},
author = {Meganathan, Natarajan},
biburl = {https://www.bibsonomy.org/bibtex/2960c5d457c377ccf99a512794f99eeab/laimbee},
doi = {10.5121/ijcnc.2018.10204},
editor = {Bychkov Igor, Kenzin Maksim and Nikolay, Maksimkin},
interhash = {8f4ec05f85e705767ea0be5362d4f6eb},
intrahash = {960c5d457c377ccf99a512794f99eeab},
issn = {09749322},
journal = {International Journal of Computer Networks & Communications (IJCNC) },
keywords = {algorithm autonomous evolutionary group heterogeneous mission planning; routing; underwater vehicle;},
language = {English},
month = {March},
number = 2,
pages = {33-42},
timestamp = {2018-04-18T02:18:20.000+0200},
title = {Task Allocation and Path Planning for Network of Autonomous Underwater Vehicles},
url = {http://airccse.org/journal/ijc2018.html},
volume = 10,
year = 2018
}