Wen, Shufa and Xu, Hongzhi (2023) Task Offloading Scheduling with Time Constraint for Optimizing Energy Consumption in Edge Cloud Computing. OALib, 10 (11). pp. 1-19. ISSN 2333-9721
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Abstract
In this paper, an improved genetic algorithm with delay constraint was designed. When initializing the population, a greedy strategy was adopted to ensure that there were enough excellent genes in the initial population, a normal distribution ordering selection strategy was adopted when selecting the next generation, so that high-quality chromosomes have a greater probability of being selected, and an adaptive cross-mutation strategy was proposed to achieve dynamic probability when cross-mutation was carried out to avoid the problem that the algorithm was easy to fall into the local optimal solution in the later stage, and at the same time, a maximum subsegment crossover strategy and a discardable mutation strategy were proposed to solve the problem of individual solution deterioration after crossover.
Item Type: | Article |
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Subjects: | GO for STM > Multidisciplinary |
Depositing User: | Unnamed user with email support@goforstm.com |
Date Deposited: | 15 Dec 2023 05:21 |
Last Modified: | 15 Dec 2023 05:21 |
URI: | http://archive.article4submit.com/id/eprint/2525 |