An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing
Joint Authors
Hua, Gang
Liu, Haiqiang
Xu, Yonggang
Xu, Jingwen
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-01-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Distributed Compressed Sensing (DCS) is an important research area of compressed sensing (CS).
This paper aims at solving the Distributed Compressed Sensing (DCS) problem based on mixed support model.
In solving this problem, the previous proposed greedy pursuit algorithms easily fall into suboptimal solutions.
In this paper, an intelligent grey wolf optimizer (GWO) algorithm called DCS-GWO is proposed by combining GWO and q-thresholding algorithm.
In DCS-GWO, the grey wolves’ positions are initialized by using the q-thresholding algorithm and updated by using the idea of GWO.
Inheriting the global search ability of GWO, DCS-GWO is efficient in finding global optimum solution.
The simulation results illustrate that DCS-GWO has better recovery performance than previous greedy pursuit algorithms at the expense of computational complexity.
American Psychological Association (APA)
Liu, Haiqiang& Hua, Gang& Xu, Jingwen& Xu, Yonggang. 2018. An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130601
Modern Language Association (MLA)
Liu, Haiqiang…[et al.]. An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130601
American Medical Association (AMA)
Liu, Haiqiang& Hua, Gang& Xu, Jingwen& Xu, Yonggang. An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130601
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130601