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In this study, the D2D resource allocation is modelled as an ultrahigh\u2010dimensional optimization (UHDO) problem with thousands of binary dimensionalities. Then, for efficiently optimizing this UHDO problem, the coupling relationships among those dimensionalities are comprehensively analysed, and several efficient variable\u2010grouping strategies are developed, i.e., cellular user grouping (CU\u2010grouping), D2D pair grouping (DP\u2010grouping), and random grouping (R\u2010grouping). In addition, a novel evolutionary algorithm called the cooperatively coevolving particle swarm optimization with variable\u2010grouping (VGCC\u2010PSO) is developed, in which a novel mutation operation is introduced for ensuring fast satisfaction of constraints. Finally, the proposed UHDO\u2010based allocation model and VGCC\u2010PSO algorithm as well as the grouping and mutation strategies are verified by a comprehensive set of case studies. Simulation results show that the developed VGCC\u2010PSO algorithm performs the best in optimizing the UHDO model with up to 6000 dimensionalities. According to our study, the proposed methodology can effectively overcome the \u201ccurse of dimensionality\u201d and optimally allocate the resources with high accuracy and robustness.<\/jats:p>","DOI":"10.1155\/2021\/7321719","type":"journal-article","created":{"date-parts":[[2021,8,4]],"date-time":"2021-08-04T18:35:06Z","timestamp":1628102106000},"update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Ultrahigh\u2010Dimensional Model and Optimization Algorithm for Resource Allocation in Large\u2010Scale Intelligent D2D Communication System"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-4834-9944","authenticated-orcid":false,"given":"Minxin","family":"Liang","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-7929-693X","authenticated-orcid":false,"given":"Jiandong","family":"Liu","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5148-340X","authenticated-orcid":false,"given":"Jinrui","family":"Tang","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4345-9407","authenticated-orcid":false,"given":"Ruoli","family":"Tang","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2021,8,4]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2020.2979044"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.3390\/app10124409"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aeue.2020.153522"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2020.107581"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/cc.2016.7513201"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-020-00962-x"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/s13638-020-01690-9"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2020.03.025"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1049\/iet-com.2019.1281"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2020.2973228"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4062487"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-018-1811-3"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12083-020-00949-8"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.32604\/cmc.2020.011749"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2017.2675451"},{"key":"e_1_2_10_16_2","first-page":"1171","article-title":"Particle swarm optimization based energy efficiency maximizing strategy in device-to-device (D2D) communications","volume":"57","author":"Li X. 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