{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,10]],"date-time":"2026-07-10T08:19:46Z","timestamp":1783671586774,"version":"3.55.0"},"reference-count":46,"publisher":"Wiley","issue":"13","license":[{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T00:00:00Z","timestamp":1782777600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Concurrency and Computation"],"published-print":{"date-parts":[[2026,7]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Mobile Edge Computing (MEC) alleviates the performance bottlenecks of traditional cloud computing in latency\u2010sensitive scenarios by moving computational resources to network edge nodes. In recent years, numerous research efforts have focused on developing edge data caching (EDC) strategies that enable app vendors to enhance caching performance through the strategic placement of critical data on suitable edge nodes. Despite the widespread adoption of evolutionary algorithms as effective optimization techniques, they have not yet been successfully applied to address the EDC problem. Therefore, this paper represents the first attempt to address the EDC problem by proposing a Particle Swarm Optimization (PSO)\u2010based EDC approach. More specifically, we model the EDC problem as a Constrained Optimization Problem (COP) and analyze its NP\u2010hardness. Then, we propose the EDC\u2010APSO algorithm, which approximates the solution front via evolution and directed mutation. We provide a theoretical analysis of the proposed method and conduct evaluations using a widely used real\u2010world dataset, comparing it against four representative methods. Experimental results demonstrate that our approach effectively addresses the EDC problem.<\/jats:p>","DOI":"10.1002\/cpe.70849","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T06:19:10Z","timestamp":1782886750000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["An Optimal Edge Data Caching Scheme Based on Improved Particle Swarm Optimization"],"prefix":"10.1002","volume":"38","author":[{"given":"Wenqi","family":"Niu","sequence":"first","affiliation":[{"name":"New Generation Information Technology Industry College Shandong Polytechnic  Jinan Shandong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cun","family":"Ji","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering Shandong Normal University  Jinan Shandong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingting","family":"Li","sequence":"additional","affiliation":[{"name":"New Generation Information Technology Industry College Shandong Polytechnic  Jinan Shandong China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"College of Arts, Business, Law, Education &amp; IT Victoria University  Melbourne Victoria Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,30]]},"reference":[{"key":"e_1_2_14_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3043755"},{"key":"e_1_2_14_3_1","unstructured":"The Mobile Economy 2025(2025) https:\/\/www.gsma.com\/solutions\u2010and\u2010impact\/connectivity\u2010for\u2010good\/mobile\u2010economy\/."},{"key":"e_1_2_14_4_1","doi-asserted-by":"publisher","DOI":"10.26599\/TST.2024.9010151"},{"key":"e_1_2_14_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3088493"},{"key":"e_1_2_14_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCNT49239.2020.9225270"},{"key":"e_1_2_14_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2024.3399840"},{"key":"e_1_2_14_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCC.2020.3008448"},{"key":"e_1_2_14_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03596-9_15"},{"key":"e_1_2_14_10_1","first-page":"81","volume-title":"IEEE\/ACM International Symposium on Cluster, Cloud and Internet Computing","author":"Cui G.","year":"2020"},{"issue":"4","key":"e_1_2_14_11_1","first-page":"29","article-title":"Mobile Edge Computing: Recent Efforts and Five Key Research Directions","volume":"12","author":"Tran T. 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