MULTI-UAV Task Allocation Based on Improved Genetic Algorithm
نویسندگان
چکیده
The path length of multiple unmanned aerial vehicle (multi-UAV) has a certain impact on the task allocation multi-UAV. In order to improve efficiency multi-UAV and reduce loss during process performing tasks, this paper takes as one influencing factors evaluation function. UAV length, performance, characteristics are taken addition, in genetic algorithm (GA) solving problem, proposes fusion based improved simulated annealing (ISAFGA). population diversity GA, second selection operation GA is carried out (SA) used operation. threshold set acceptance criteria new solutions SA, then promotion secondary improved. simulation results showed that could global search ability, verified effectiveness algorithm.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3097094