Paper Info
Title
An Adaptive Multiobjective Multitask Service Composition Approach Considering Practical Constraints in Fog Manufacturing
Abstract
Fog manufacturing (FMfg) is an emerging real-life cloud manufacturing (CMfg) paradigm based on digital twin models, which perceive finely dynamic processes and provide on-demand optimization services. Service composition as a core plays a vital role in achieving the optimization goal. Service composition issues in actual CMfg are mostly multitask problems that need considering dynamic factors. Otherwise, the planned production process will deviate significantly from actual situations. However, such multitask service composition (MTSC) models have scarcely been studied. Thus, this article formulates a multiobjective MTSC model considering the crucial resource competition process between multitasks under multiple practical constraints (MPC). Then, to solve the MTSC–MPC, this article develops an adaptive multiobjective whale optimization algorithm (AMOWOA) containing well-designed strategies. Numerical experiments and application cases verify that AMOWOA outperforms the comparison algorithms. AMOWOA continually can optimize and adaptively adjust the service composition process based on the crucial manufacturing resource available time under actual constraints in FMfg environment.
Year
DOI
Venue
2022
10.1109/TII.2021.3137831
IEEE Transactions on Industrial Informatics
Keywords
DocType
Volume
Adaptive multiobjective multitask service composition,cloud manufacturing (CMfg),fog manufacturing (FMfg),practical constraints,whale optimization algorithm (WOA)
Journal
18
Issue
ISSN
Citations 
10
1551-3203
0
PageRank 
References 
Authors
0.34
17
4
Name
Order
Citations
PageRank
Yankai Wang120.71
Song Gao293.90
Shilong Wang323.41
Roger Zimmermann41735147.98