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dc.contributor.authorHu, Xuemei
dc.contributor.authorHuang, Lan
dc.contributor.authorWang, Yan
dc.contributor.authorPang, Wei
dc.date.accessioned2020-05-16T23:06:00Z
dc.date.available2020-05-16T23:06:00Z
dc.date.issued2019-08-31
dc.identifier.citationHu , X , Huang , L , Wang , Y & Pang , W 2019 , ' Explosion gravitation field algorithm with dust sampling for unconstrained optimization ' , Applied Soft Computing , vol. 81 , 105500 . https://doi.org/10.1016/j.asoc.2019.105500en
dc.identifier.issn1568-4946
dc.identifier.otherPURE: 144218410
dc.identifier.otherPURE UUID: cab3794d-5375-4e0b-b127-73547e1b79a7
dc.identifier.otherMendeley: cb9e937b-6fbe-3756-9798-c61a24a01062
dc.identifier.otherScopus: 85066029217
dc.identifier.otherORCID: /0000-0002-1761-6659/work/59923311
dc.identifier.otherWOS: 000476471800027
dc.identifier.urihttps://hdl.handle.net/2164/14324
dc.descriptionThis research was funded by the National Natural Science Foundation of China (Nos. 61572227, 61772227, 61702214), the Development Project of Jilin Province of China (Nos 20170101006JC, 20180414012GH, 20170203002GX, 20190201293JC), Zhuhai Premier-Discipline Enhancement Scheme, China (Grant 2015YXXK02) and Guangdong Premier Key-Discipline Enhancement Scheme, China (Grant 2016GDYSZDXK036). This work was also supported by Jilin Provincial Key Laboratory of Big Date Intelligent Computing, China (No. 20180622002JC).en
dc.language.isoeng
dc.relation.ispartofApplied Soft Computingen
dc.rights© 2019. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0en
dc.subjectExplosion gravitation field algorithmen
dc.subjectUnconstrained optimizationen
dc.subjectDust Samplingen
dc.subjectExplosion operationen
dc.subjectADJUSTED RANDen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectSupplementary Dataen
dc.subject.lccQA75en
dc.titleExplosion gravitation field algorithm with dust sampling for unconstrained optimizationen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.description.statusPeer revieweden
dc.description.versionPostprinten
dc.identifier.doihttps://doi.org/10.1016/j.asoc.2019.105500
dc.date.embargoedUntil2020-05-17
dc.identifier.urlhttp://www.mendeley.com/research/explosion-gravitation-field-algorithm-dust-sampling-unconstrained-optimizationen
dc.identifier.vol81en


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