HIGHLIGHTS
- who: . et al. from the (UNIVERSITY) have published the research work: A Novel Genetic Trajectory Planning Algorithm with variable population size for Multi-UAV-Assisted Mobile Edge Computing System, in the Journal: (JOURNAL)
- what: The authors aim to minimize the sum of hovering and flying energies of UAVs by optimizing the trajectories of UAVs. To prove its effectiveness, the authors compare the proposed algorithm with two other variants named RAN-GTPA and DE-GTPA. The better performance of the deployment of SPs is due to the following reason: since GTPA-VP can simultaneously update the . . .
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