Multiobjective Optimization of Cloud Manufacturing Service Composition with Improved Particle Swarm Optimization Algorithm
Joint Authors
Li, Yongxiang
Yao, Xifan
Liu, Min
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-14
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Aiming at the problems of low search efficiency and inaccurate optimization of existing service composition optimization methods, a new multiobjective optimization model of cloud manufacturing service composition was constructed, which took service matching degree, composition synergy degree, cloud entropy, execution time, and execution cost as optimization objectives, and an improved particle swarm optimization algorithm (IPSOA) was proposed.
In the IPSOA, the integer encoding method was used for particle encoding.
The inertia coefficient and two acceleration coefficients were improved by introducing the normal cloud model, sine function, and cosine function.
The global search ability of IPSOA in the early stage was improved, and its prematurity was restrained to form a more comprehensive solution space.
In the later stage, IPSOA focused on the local fine search and improved the optimization precision.
Taking automatic guided forklift manufacturing task as an example, the correctness of the proposed multiobjective optimization model of cloud manufacturing service composition and the effectiveness of its solution algorithm were verified.
The performance of IPSOA was analyzed and compared with standard genetic algorithm (SGA) and traditional particle swarm optimization (PSO).
Under the same conditions, IPSOA had a faster convergence speed than PSO and SGA and had better performance than PSO.
American Psychological Association (APA)
Li, Yongxiang& Yao, Xifan& Liu, Min. 2020. Multiobjective Optimization of Cloud Manufacturing Service Composition with Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1202052
Modern Language Association (MLA)
Li, Yongxiang…[et al.]. Multiobjective Optimization of Cloud Manufacturing Service Composition with Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering No. 2020 (2020), pp.1-17.
https://search.emarefa.net/detail/BIM-1202052
American Medical Association (AMA)
Li, Yongxiang& Yao, Xifan& Liu, Min. Multiobjective Optimization of Cloud Manufacturing Service Composition with Improved Particle Swarm Optimization Algorithm. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-17.
https://search.emarefa.net/detail/BIM-1202052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202052