{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T16:34:50Z","timestamp":1759336490888,"version":"3.37.3"},"reference-count":24,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["5130547"],"award-info":[{"award-number":["5130547"]}],"id":[{"id":"10.13039\/501100001809","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":[[2020,1]]},"abstract":"<jats:p> Due to the multiple types of support tasks and high-energy efficiency equipment, energy saving research in a Bergepanzer has attracted much attention in recent years. A hydraulic hybrid system is an effective way for these problems of Bergepanzers. The initial problem is to optimize the parameter optimization-matching for a new hydraulic hybrid Bergepanzers (NHHB), which is a relatively complex and variable time-varying nonlinear system. In this paper, an RBF-adaptive artificial immune algorithm (RBF&amp;AAIA) is presented to solve the parameter optimization-matching problem, and the performance of algorithm is analyzed. Finally, the RBF&amp;AAIA is successfully used for the NHHB to optimize the parameters of key components for the minimum energy consumption of system, and the optimal parameter matching group is obtained. <\/jats:p>","DOI":"10.1142\/s0218001420590028","type":"journal-article","created":{"date-parts":[[2019,3,24]],"date-time":"2019-03-24T22:26:47Z","timestamp":1553466407000},"page":"2059002","source":"Crossref","is-referenced-by-count":2,"title":["Parameter Matching Analysis of Hydraulic Hybrid Bergepanzers Based on RBF-Adaptive Artificial Immune Algorithm"],"prefix":"10.1142","volume":"34","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7941-721X","authenticated-orcid":false,"given":"Chuming","family":"Ning","sequence":"first","affiliation":[{"name":"Department of Vehicle Engineering China, Academy of Army Armored Force, Beijing, No. 21, Dujiakan, Fengtai District 100072, Beijing, P. R. China"},{"name":"Quartermaster Equipment Research Institute, Academy of Military Sciences PLA China, No. 69, Lumicang Hutong, Dongcheng District, 100010, Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiqiang","family":"Chao","sequence":"additional","affiliation":[{"name":"Department of Vehicle Engineering China, Academy of Army Armored Force, Beijing, No. 21, Dujiakan, Fengtai District 100072, Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaying","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Vehicle Engineering China, Academy of Army Armored Force, Beijing, No. 21, Dujiakan, Fengtai District 100072, Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shousong","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Vehicle Engineering China, Academy of Army Armored Force, Beijing, No. 21, Dujiakan, Fengtai District 100072, Beijing, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2019,6,12]]},"reference":[{"key":"S0218001420590028BIB001","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2015.2427659"},{"key":"S0218001420590028BIB002","first-page":"C409","volume-title":"IEEE Symp. on. IEEE","author":"Cutello V.","year":"2007"},{"issue":"5","key":"S0218001420590028BIB003","first-page":"1682","volume":"27","author":"Fang X. J.","year":"2010","journal-title":"Appl. Res. Comput."},{"key":"S0218001420590028BIB004","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.07.017"},{"key":"S0218001420590028BIB005","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.03.668"},{"key":"S0218001420590028BIB006","doi-asserted-by":"publisher","DOI":"10.1016\/j.egypro.2017.03.852"},{"key":"S0218001420590028BIB007","doi-asserted-by":"publisher","DOI":"10.1109\/TMAG.2015.2487678"},{"key":"S0218001420590028BIB008","first-page":"1","volume-title":"ASME\/BATH 2015 Symp. Fluid Power and Motion Control","author":"Lee S.","year":"2016"},{"key":"S0218001420590028BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2011.2174244"},{"key":"S0218001420590028BIB010","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-016-0028-x","volume":"7","author":"Li H.","year":"2017","journal-title":"Sci. Rep."},{"key":"S0218001420590028BIB011","first-page":"233","author":"Liu F.","year":"2010","journal-title":"IEEE Comput. Soc."},{"key":"S0218001420590028BIB012","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2015.06.025"},{"key":"S0218001420590028BIB013","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.3.4.307"},{"key":"S0218001420590028BIB014","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.01.016"},{"key":"S0218001420590028BIB015","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2648642"},{"key":"S0218001420590028BIB016","first-page":"1","volume":"1","author":"Shen W.","year":"2013","journal-title":"J. Appl. Math."},{"key":"S0218001420590028BIB017","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfranklin.2014.04.007"},{"key":"S0218001420590028BIB018","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2016.04.038"},{"key":"S0218001420590028BIB019","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2016.09.007"},{"key":"S0218001420590028BIB020","first-page":"123","volume-title":"Bath Workshop on Power Transmission and Motion Control","author":"Vael G. E. M.","year":"2004"},{"key":"S0218001420590028BIB021","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2016.03.002"},{"key":"S0218001420590028BIB022","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2017.7510820"},{"key":"S0218001420590028BIB023","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.868.118"},{"key":"S0218001420590028BIB024","first-page":"335","author":"Zhu X.","year":"2017","journal-title":"Inf. Control"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001420590028","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T04:42:31Z","timestamp":1582260151000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001420590028"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,12]]},"references-count":24,"journal-issue":{"issue":"01","published-print":{"date-parts":[[2020,1]]}},"alternative-id":["10.1142\/S0218001420590028"],"URL":"https:\/\/doi.org\/10.1142\/s0218001420590028","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"type":"print","value":"0218-0014"},{"type":"electronic","value":"1793-6381"}],"subject":[],"published":{"date-parts":[[2019,6,12]]}}}