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Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information
Joint Authors
Sun, Xiaogang
Wang, Shoubin
Jia, Huangchao
Zhang, Li
Source
Advances in Materials Science and Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-24
Country of Publication
Egypt
No. of Pages
12
Abstract EN
Addressing the problem of two-dimensional steady-state thermal boundary recognition, a hybrid algorithm of conjugate gradient method and social particle swarm optimization (CGM-SPSO) algorithm is proposed.
The global search ability of particle swarm optimization algorithm and local search ability of gradient algorithm are effectively combined, which overcomes the shortcoming that the conjugate gradient method tends to converge to the local solution and relies heavily on the initial approximation of the iterative process.
The hybrid algorithm also avoids the problem that the particle swarm optimization algorithm requires a large number of iterative steps and a lot of time.
The experimental results show that the proposed algorithm is feasible and effective in solving the problem of two-dimensional steady-state thermal boundary shape.
American Psychological Association (APA)
Wang, Shoubin& Jia, Huangchao& Sun, Xiaogang& Zhang, Li. 2017. Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information. Advances in Materials Science and Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1123729
Modern Language Association (MLA)
Wang, Shoubin…[et al.]. Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information. Advances in Materials Science and Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1123729
American Medical Association (AMA)
Wang, Shoubin& Jia, Huangchao& Sun, Xiaogang& Zhang, Li. Two-Dimensional Steady-State Boundary Shape Inversion of CGM-SPSO Algorithm on Temperature Information. Advances in Materials Science and Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1123729
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1123729