{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T20:09:45Z","timestamp":1772136585430,"version":"3.50.1"},"reference-count":53,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3285815","type":"journal-article","created":{"date-parts":[[2023,6,14]],"date-time":"2023-06-14T17:24:04Z","timestamp":1686763444000},"page":"59866-59881","source":"Crossref","is-referenced-by-count":14,"title":["Improved Binary Gray Wolf Optimizer Based on Adaptive <i>\u03b2<\/i>-Hill Climbing for Feature Selection"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5602-0006","authenticated-orcid":false,"given":"Tamara Amjad","family":"Al-Qablan","sequence":"first","affiliation":[{"name":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3300-3270","authenticated-orcid":false,"given":"Mohd Halim Mohd","family":"Noor","sequence":"additional","affiliation":[{"name":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1980-1791","authenticated-orcid":false,"given":"Mohammed Azmi","family":"Al-Betar","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Research Center (AIRC), College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9148-5669","authenticated-orcid":false,"given":"Ahamad Tajudin","family":"Khader","sequence":"additional","affiliation":[{"name":"School of Computer Sciences, Universiti Sains Malaysia, Pulau Pinang, Malaysia"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ISS1.2017.8389379"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2892852"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-018-1334-8"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991543"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.03.101"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1162\/evco.1995.3.1.1"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/app8091521"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3117853"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-017-3272-5"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/computation9060068"},{"key":"ref18","article-title":"Binary grey wolf optimizer with mutation and adaptive K-nearest neighbour for feature selection in Parkinson&#x2019;s disease diagnosis","volume":"246","author":"rajammal","year":"2022","journal-title":"Knowl -Based Syst"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.04.053"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.06.083"},{"key":"ref46","first-page":"605","article-title":"Application of k-nearest neighbor (KNN) approach for predicting economic events: Theoretical background","volume":"3","author":"imandoust","year":"2013","journal-title":"Int J Eng Res Appl"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-32-9990-0_13"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1870-7"},{"key":"ref47","first-page":"2005","article-title":"Problem definitions and evaluation criteria for the CEC 2005 special session on realparameter optimization","author":"suganthan","year":"2005"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/computers7040058"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1049\/iet-bmt.2017.0160"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/4235.585893"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-43546-3"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1016\/j.amc.2006.11.033"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911447"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107629"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.07.014"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105353"},{"key":"ref3","first-page":"1157","article-title":"An introduction to variable and feature selection","volume":"3","author":"guyon","year":"2003","journal-title":"J Mach Learn Res"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.12.014"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-10-3874-7_66"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogsys.2018.12.002"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3390\/s20154065"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.22266\/ijies2021.0430.43"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906757"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-019-04103-1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.13053\/cys-25-4-3931"},{"key":"ref30","first-page":"138","article-title":"The plant leaf classification system using an optimum feature selection by grey wolf optimization","volume":"32","author":"dudi","year":"2021","journal-title":"Turkish Journal of Physiotherapy and Rehabilitation"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-04323-6"},{"key":"ref32","first-page":"831","article-title":"Hybrid gray wolf and particle swarm optimization for feature selection","volume":"16","author":"el-kenawy","year":"2020","journal-title":"Int J Innov Comput Inf Control"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.fiae.2016.09.004"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/198363"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiolchem.2018.11.017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.11.047"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-020-04871-2"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-173740"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.105152"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-02484-z"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-019-03887-7"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICAMechS.2016.7813454"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.12.005"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102656"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2019.0101132"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2021.107745"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10151874.pdf?arnumber=10151874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T19:34:22Z","timestamp":1689017662000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10151874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":53,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3285815","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}