{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:10:25Z","timestamp":1753884625094,"version":"3.41.2"},"reference-count":28,"publisher":"World Scientific Pub Co Pte Ltd","issue":"04","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61903078"],"award-info":[{"award-number":["61903078"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["2232021A-10","2232020D-48"],"award-info":[{"award-number":["2232021A-10","2232020D-48"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"crossref","award":["20ZR1400400"],"award-info":[{"award-number":["20ZR1400400"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2022,3,30]]},"abstract":"<jats:p> Ureteral stent tubes are important medical devices used to repair ureteral obstruction or injury. However, relevant experiments of ureteral stent tubes are usually time-consuming and expensive. This research introduces a mechanical model that can simulate the force and deformation of ureteral stents. In addition, a novel optimization algorithm called improved exploration-enhanced gray wolf optimizer (IEE-GWO) is proposed to optimize parameters of the model. In order to balance exploration and exploitation of gray wolf optimizer (GWO), a dimension learning-based hunting (DLH) search strategy and a nonlinear control parameter strategy are integrated into the IEE-GWO. The experimental results show that the proposed IEE-GWO has better performance, such as fast convergence speed and high solution quality. Furthermore, the novel approach can improve the accuracy of the mechanical modal. <\/jats:p>","DOI":"10.1142\/s0218001422590108","type":"journal-article","created":{"date-parts":[[2022,3,15]],"date-time":"2022-03-15T04:07:22Z","timestamp":1647317242000},"source":"Crossref","is-referenced-by-count":1,"title":["Improved Exploration-Enhanced Gray Wolf Optimizer for a Mechanical Model of Braided Bicomponent Ureteral Stents"],"prefix":"10.1142","volume":"36","author":[{"given":"Zhikai","family":"Sun","sequence":"first","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoyan","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihong","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuangrong","family":"Hao","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology, Donghua University, Shanghai, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,3,14]]},"reference":[{"journal-title":"Arch. Comput. Methods Eng.","year":"2020","author":"Abualigah L.","key":"S0218001422590108BIB001"},{"key":"S0218001422590108BIB002","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-05107-y"},{"key":"S0218001422590108BIB003","doi-asserted-by":"publisher","DOI":"10.1016\/j.cma.2020.113609"},{"key":"S0218001422590108BIB004","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001414590095"},{"key":"S0218001422590108BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105190"},{"key":"S0218001422590108BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2222373"},{"key":"S0218001422590108BIB007","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2014.02.104"},{"key":"S0218001422590108BIB008","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.07.015"},{"key":"S0218001422590108BIB009","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103731"},{"key":"S0218001422590108BIB010","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2014.11.045"},{"key":"S0218001422590108BIB011","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001420590211"},{"key":"S0218001422590108BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/ChiCC.2016.7553694"},{"key":"S0218001422590108BIB014","doi-asserted-by":"publisher","DOI":"10.1142\/S021800141859019X"},{"key":"S0218001422590108BIB015","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001419590286"},{"key":"S0218001422590108BIB016","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.10.024"},{"key":"S0218001422590108BIB017","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001416590254"},{"key":"S0218001422590108BIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2017.11.015"},{"key":"S0218001422590108BIB019","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2013.12.007"},{"key":"S0218001422590108BIB020","first-page":"1","author":"Mittal N.","year":"2016","journal-title":"Appl. Comput. Intell. Soft Comput."},{"key":"S0218001422590108BIB021","doi-asserted-by":"publisher","DOI":"10.1016\/j.epsr.2016.09.025"},{"key":"S0218001422590108BIB022","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001421570019"},{"key":"S0218001422590108BIB023","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106761"},{"key":"S0218001422590108BIB024","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113917"},{"key":"S0218001422590108BIB025","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001415590041"},{"key":"S0218001422590108BIB026","doi-asserted-by":"publisher","DOI":"10.2514\/2.2111"},{"key":"S0218001422590108BIB027","doi-asserted-by":"publisher","DOI":"10.1142\/S0218001416590035"},{"key":"S0218001422590108BIB028","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.08.030"},{"key":"S0218001422590108BIB029","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmbbm.2014.06.004"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001422590108","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,21]],"date-time":"2022-04-21T03:51:27Z","timestamp":1650513087000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S0218001422590108"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,14]]},"references-count":28,"journal-issue":{"issue":"04","published-print":{"date-parts":[[2022,3,30]]}},"alternative-id":["10.1142\/S0218001422590108"],"URL":"https:\/\/doi.org\/10.1142\/s0218001422590108","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2022,3,14]]},"article-number":"2259010"}}