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A NSGA-II Algorithm for Task Scheduling in UAV-Enabled MEC System | IEEE Journals & Magazine | IEEE Xplore

A NSGA-II Algorithm for Task Scheduling in UAV-Enabled MEC System


Abstract:

In this paper, we investigate the task scheduling problem in the UAV-enable Mobile Edge-Computing (MEC) system with the objectives of minimizing the cost and the completi...Show More

Abstract:

In this paper, we investigate the task scheduling problem in the UAV-enable Mobile Edge-Computing (MEC) system with the objectives of minimizing the cost and the completion time. A NSGA-II algorithm is proposed for the problem under study. The solution is represented as a two-dimension location sequence. Major components of NSGA-II are delicately designed including the feasible solution generation method (FSGM) and genetic operations of crossover, mutation and selection. Three strategies are introduced in FSGM. A simulated annealing local search is integrated into the crossover operation, and meanwhile two novel mutation methods are proposed. The Pareto-based metrics are introduced to evaluate the performance of the compared algorithms. Experimental results show that the proposal is more effective and robust than the three existing algorithms.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 23, Issue: 7, July 2022)
Page(s): 9414 - 9429
Date of Publication: 22 October 2021

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