{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T05:21:39Z","timestamp":1771651299201,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51574232"],"award-info":[{"award-number":["51574232"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>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 <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M1\"><mml:mrow><mml:mi>q<\/mml:mi><\/mml:mrow><\/mml:math>-thresholding algorithm. In DCS-GWO, the grey wolves\u2019 positions are initialized by using the <mml:math xmlns:mml=\"http:\/\/www.w3.org\/1998\/Math\/MathML\" id=\"M2\"><mml:mrow><mml:mi>q<\/mml:mi><\/mml:mrow><\/mml:math>-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.<\/jats:p>","DOI":"10.1155\/2018\/1723191","type":"journal-article","created":{"date-parts":[[2018,1,31]],"date-time":"2018-01-31T18:31:21Z","timestamp":1517423481000},"page":"1-10","source":"Crossref","is-referenced-by-count":24,"title":["An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3314-169X","authenticated-orcid":true,"given":"Haiqiang","family":"Liu","sequence":"first","affiliation":[{"name":"China University of Mining and Technology, Xuzhou 221116, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2174-3607","authenticated-orcid":true,"given":"Gang","family":"Hua","sequence":"additional","affiliation":[{"name":"China University of Mining and 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