{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T15:48:53Z","timestamp":1770479333583,"version":"3.49.0"},"reference-count":10,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T00:00:00Z","timestamp":1530835200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,10]]},"abstract":"<jats:p>In order to solve the contradiction between spectrum resource and system capacity in the mobile communication system and the radius of the housing estate has been decreasing, the microcell has appeared. In this article, the scheme which combined ray tracing and genetic algorithm were studied to solve the problem of urban microcellular network planning. The author used the ray tracing to calculate the propagating characteristics of the micro-cellular scene in a precise way and the genetic algorithm to find the specific location of the urban microcellular base station. And at the same time, basing on the characteristics of the site selection of the urban microcellular base station, the improved genetic algorithm which proposed in the literature was adopted. The final study shows that basing on the simulation of urban microcells, combining with the scheme of the ray tracing and improving genetic algorithm can solve the problem of urban microcell location.<\/jats:p>","DOI":"10.3233\/jifs-169633","type":"journal-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T12:03:57Z","timestamp":1530878637000},"page":"2805-2811","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["An improved genetic algorithm analysis and application study for urban microcellular network planning"],"prefix":"10.1177","volume":"35","author":[{"given":"Lu","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Urban Design, Wuhan University Wuhan, Wuhan, China"}]},{"given":"Zhenghong","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Urban Design, Wuhan University Wuhan, Wuhan, China"}]}],"member":"179","published-online":{"date-parts":[[2018,7,6]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.10.014"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2012.050112.111461"},{"issue":"3","key":"e_1_3_2_4_2","first-page":"343","article-title":"Novel hybrid genetic algorithm for global optimization problems","volume":"23","author":"Li H.","year":"2007","unstructured":"H.Li, Y.C.Jiao, L.Zhang, et al., Novel hybrid genetic algorithm for global optimization problems, Kongzhi Lilun yu Yingyong Control Theory & Applications23(3) (2007), 343\u2013348.","journal-title":"Kongzhi Lilun yu Yingyong Control Theory & Applications"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.03.034"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.2528\/PIERC11041402"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1002\/dac.1049"},{"issue":"5","key":"e_1_3_2_8_2","first-page":"471","article-title":"Calibration method for multi-slope propagation models based on CW test","volume":"25","author":"Wei Z.X.","year":"2007","unstructured":"Z.X.Wei and D.C.Yang, Calibration method for multi-slope propagation models based on CW test, Journal of Jilin University Information Science Edition25(5) (2007), 471\u2013477.","journal-title":"Journal of Jilin University Information Science Edition"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2015.01.002"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-012-0827-8"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2011.082010.00099"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169633","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-169633","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-169633","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T19:54:33Z","timestamp":1770407673000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-169633"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,6]]},"references-count":10,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2018,10]]}},"alternative-id":["10.3233\/JIFS-169633"],"URL":"https:\/\/doi.org\/10.3233\/jifs-169633","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,6]]}}}