Hybrid Teaching–Learning-Based Optimization for Workflow Scheduling in Cloud Environment

Hybrid Teaching–Learning-Based Optimization for Workflow Scheduling in Cloud Environment

At present, workflow scheduling in cloud computing environment is still a challenging optimization topic due to its NP-complete characteristics. In order to obtain better scheduling results, researchers are constantly coming up with new methods. In this study, we offer a hybrid metaheuristic for sol...

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Bibliographic Details
Main Authors: Jieguang He, Xiaoli Liu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Workflow scheduling
cloud computing
teaching–learning-based optimization
opposition-based learning
search boundary
population information
Online Access:https://ieeexplore.ieee.org/document/10250772/

Internet

https://ieeexplore.ieee.org/document/10250772/

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