Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things
Joint Authors
Wan, Shaohua
Cheng, Yong
Zheng, Zhongren
Wang, Jun
Yang, Ling
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-03
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Due to the problem of attribute redundancy in meteorological data from the Industrial Internet of Things (IIoT) and the slow efficiency of existing attribute reduction algorithms, attribute reduction based on a genetic algorithm for the coevolution of meteorological data was proposed.
The evolutionary population was divided into two subpopulations: one subpopulation used elite individuals to assist crossover operations to increase the convergence speed of the algorithm, and the other subpopulation balanced the population diversity in the evolutionary process by introducing a random population; these two subpopulations completed the evolutionary operations together.
With the TSDPSO-AR algorithm and ARAGA algorithm, the attribute reduction operation for precipitation in meteorological data was performed.
The results showed that the proposed algorithm maintained the diversity of the population during evolution, improved the reduction performance, and simplified the information system.
American Psychological Association (APA)
Cheng, Yong& Zheng, Zhongren& Wang, Jun& Yang, Ling& Wan, Shaohua. 2019. Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1212094
Modern Language Association (MLA)
Cheng, Yong…[et al.]. Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1212094
American Medical Association (AMA)
Cheng, Yong& Zheng, Zhongren& Wang, Jun& Yang, Ling& Wan, Shaohua. Attribute Reduction Based on Genetic Algorithm for the Coevolution of Meteorological Data in the Industrial Internet of Things. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1212094
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212094