{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T11:07:37Z","timestamp":1778670457122,"version":"3.51.4"},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T00:00:00Z","timestamp":1612224000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T00:00:00Z","timestamp":1612224000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1007\/s00500-020-05569-1","type":"journal-article","created":{"date-parts":[[2021,2,2]],"date-time":"2021-02-02T12:39:06Z","timestamp":1612269546000},"page":"5747-5761","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["A hybrid particle swarm optimization algorithm for RFID network planning"],"prefix":"10.1007","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1615-0113","authenticated-orcid":false,"given":"Yating","family":"Cao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhouwu","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,2,2]]},"reference":[{"key":"5569_CR1","unstructured":"Antonis G, Stavroula S, Aggelos B, John S (2019) Introduction of dynamic virtual force vector in particle swarm optimization for automated deployment of RFID networks. In: 13th European conference on antennas and propagation (EuCAP 2019)"},{"issue":"6","key":"5569_CR2","doi-asserted-by":"publisher","first-page":"225","DOI":"10.5121\/ijcnc.2010.2615","volume":"2","author":"I Bhattacharya","year":"2010","unstructured":"Bhattacharya I, Roy U (2010) Optimal placement of readers in an RFID network using particle swarm optimization. Int J Comput Netw Commun (IJCNC) 2(6):225\u2013234","journal-title":"Int J Comput Netw Commun (IJCNC)"},{"key":"5569_CR3","doi-asserted-by":"crossref","unstructured":"Chen H, Zhu Y (2008) RFID network planning using evolutionary algorithms and swarm intelligence. In: Proceedings of fourth international conference on wireless communications, networking and mobile computing. Dalian, China, pp 1\u20134.","DOI":"10.1109\/WiCom.2008.680"},{"issue":"1","key":"5569_CR4","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1109\/TII.2009.2033050","volume":"6","author":"Y-H Chen","year":"2010","unstructured":"Chen Y-H, Horng S-J, Run R-S, Lai J-L, Chen R-J, Chen W-C, Pan Y, Takao T (2010a) A novel anti-collision algorithm in RFID systems for identifying passive tags. IEEE Trans Industr Inf 6(1):105\u2013121","journal-title":"IEEE Trans Industr Inf"},{"issue":"2","key":"5569_CR5","doi-asserted-by":"publisher","first-page":"539","DOI":"10.1016\/j.asoc.2009.08.023","volume":"10","author":"H Chen","year":"2010","unstructured":"Chen H, Zhu Y, Hu K (2010b) Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning. Appl Soft Comput 10(2):539\u2013547","journal-title":"Appl Soft Comput"},{"issue":"3","key":"5569_CR6","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1016\/j.jnca.2010.04.004","volume":"34","author":"H Chen","year":"2011","unstructured":"Chen H, Zhu Y, Hu K, Ku T (2011) RFID network planning using a multi-swarm optimizer. J Netw Comput Appl 34(3):888\u2013901","journal-title":"J Netw Comput Appl"},{"key":"5569_CR7","doi-asserted-by":"crossref","unstructured":"Dong Q, Shukla A, Shrivastava V, Agrawal D, Banerjee S, Kar K (2007) Load balancing in large-scale RFID systems. In: Infocom IEEE international conference on computer communications, pp 2281\u20132285.","DOI":"10.1109\/INFCOM.2007.265"},{"issue":"9","key":"5569_CR8","doi-asserted-by":"publisher","first-page":"1782","DOI":"10.1016\/j.comnet.2008.03.003","volume":"52","author":"Q Dong","year":"2008","unstructured":"Dong Q, Shukla A, Shrivastava V, Agrawal D, Banerjee S, Kar K (2008) Load balancing in large-scale RFID systems. Comput Netw 52(9):1782\u20131796","journal-title":"Comput Netw"},{"key":"5569_CR9","doi-asserted-by":"crossref","unstructured":"Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. In: MHS'95. Proceedings of the sixth international symposium on micro machine and human science, Nagoya, Japan, pp 39\u201343.","DOI":"10.1109\/MHS.1995.494215"},{"issue":"4","key":"5569_CR10","doi-asserted-by":"publisher","first-page":"900","DOI":"10.1109\/TII.2012.2205390","volume":"8","author":"Y Gong","year":"2012","unstructured":"Gong Y, Shen M, Zhang J, Kaynak O, Chen W, Zhan Z (2012) Optimizing RFID network planning by using a particle swarm optimization algorithm with redundant reader elimination. IEEE Trans Industr Inf 8(4):900\u2013912","journal-title":"IEEE Trans Industr Inf"},{"issue":"1","key":"5569_CR11","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1109\/TEVC.2013.2260862","volume":"18","author":"M Gong","year":"2014","unstructured":"Gong M, Cai Q, Chen X, Ma L (2014) Complex network clustering by multi-objective discrete particle swarm optimization based on decomposition. IEEE Trans Evol Comput 18(1):82\u201397","journal-title":"IEEE Trans Evol Comput"},{"key":"5569_CR12","doi-asserted-by":"crossref","unstructured":"Guan Q, Liu Y, Yang Y, Yu W (2006) Genetic approach for network planning in the RFID systems. In: Sixth international conference on intelligent systems design and applications. Jinan, China, pp 567\u2013572","DOI":"10.1109\/ISDA.2006.253899"},{"key":"5569_CR13","volume-title":"Machine learning in action","author":"P Harrington","year":"2013","unstructured":"Harrington P (2013) Machine learning in action. Posts&Telecom Press, Beijing"},{"issue":"1","key":"5569_CR14","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.aei.2010.05.002","volume":"25","author":"H Huang","year":"2011","unstructured":"Huang H, Chang Y (2011) Optimal layout and deployment for RFID systems. Adv Eng Inform 25(1):4\u201310","journal-title":"Adv Eng Inform"},{"key":"5569_CR15","unstructured":"Krohn A, Zimmer T, Beigl M, Decker C (2005) Collaborative sensing in a retail store using synchronous distributed jam signaling. In: Proceedings of the 3rd international conference on pervasive computing. Munich, pp 237\u2013254."},{"issue":"23\u201324","key":"5569_CR16","doi-asserted-by":"publisher","first-page":"9788","DOI":"10.1016\/j.apm.2016.06.002","volume":"10","author":"J Liu","year":"2016","unstructured":"Liu J, Wu C, Cao J, Wang X, Teo K (2016) A binary differential search algorithm for the multidimensional knapsack problem. Appl Math Model 10(23\u201324):9788\u20139805","journal-title":"Appl Math Model"},{"issue":"1","key":"5569_CR17","doi-asserted-by":"publisher","first-page":"280","DOI":"10.1016\/j.jnca.2013.07.015","volume":"39","author":"S Lu","year":"2014","unstructured":"Lu S, Yu S (2014) A fuzzy k-coverage approach for RFID network planning using plant growth simulation algorithm. J Netw Comput Appl 39(1):280\u2013291","journal-title":"J Netw Comput Appl"},{"key":"5569_CR18","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.jnca.2014.02.012","volume":"42","author":"L Ma","year":"2014","unstructured":"Ma L, Hu K, Zhu Y, Chen H (2014) Cooperative artificial bee colony algorithm for multi-objective RFID network planning. J Netw Comput Appl 42:143\u2013162","journal-title":"J Netw Comput Appl"},{"issue":"1","key":"5569_CR19","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1007\/s11277-012-0811-3","volume":"71","author":"S \u00d6zdemir","year":"2013","unstructured":"\u00d6zdemir S, Attea B, Khalil \u00d6nder A (2013) Multi-objective evolutionary algorithm based on decomposition for energy efficient coverage in wireless sensor networks. Wirel Pers Commun 71(1):195\u2013215","journal-title":"Wirel Pers Commun"},{"key":"5569_CR20","unstructured":"Seok J-H, Lee J-Y, Oh C, Lee J-J, Lee HJ (2010) RFID sensor deployment using differential evolution for indoor mobile robot localization. In: The 2010 IEEE\/RSJ international conference on intelligent robots and systems. Taipei, Taiwan, pp 3719\u20133724"},{"issue":"5","key":"5569_CR21","first-page":"2277","volume":"7","author":"S Shinde","year":"2019","unstructured":"Shinde S, Devika K, Thangavelu S, Jeyakumar G (2019) Multi-objective evolutionary algorithm based approach for solving Rfid reader placement problem using weight-vector approach with opposition-based learning method. Int J Recent Technol Eng (IJRTE) 7(5):2277\u20133878","journal-title":"Int J Recent Technol Eng (IJRTE)"},{"key":"5569_CR22","doi-asserted-by":"crossref","unstructured":"Tuba V, Alihodzic A, Tuba M (2017) Multi-objective RFID network planning with probabilistic coverage model by guided fireworks algorithm. In: 2017 10th international symposium on advanced topics in electrical engineering (ATEE), IEEE. Bucharest, Romania, pp 882\u2013887","DOI":"10.1109\/ATEE.2017.7905125"},{"key":"5569_CR23","doi-asserted-by":"crossref","unstructured":"Wan D (1999) Magic medicine cabinet: a situated portal for consumer healthcare. In: Proceedings of the international symposium on handheld and ubiquitous computing. Germany, pp 352\u2013355.","DOI":"10.1007\/3-540-48157-5_44"},{"key":"5569_CR24","doi-asserted-by":"publisher","first-page":"268","DOI":"10.1016\/j.asoc.2018.03.053","volume":"68","author":"Y Xu","year":"2018","unstructured":"Xu Y, Ding O, Qu R, Li K (2018) Hybrid multi-objective evolutionary algorithms based on decomposition for wireless sensor network coverage optimization. Appl Soft Comput 68:268\u2013282","journal-title":"Appl Soft Comput"},{"key":"5569_CR25","doi-asserted-by":"crossref","unstructured":"Yang Y, Wu Y, Xia M, Qin Z (2009) A RFID network planning method based on genetic algorithm. In: 2009 international conference on networks security, wireless communications and trusted computing. Wuhan, Hubei, China, pp 534\u2013537","DOI":"10.1109\/NSWCTC.2009.238"},{"issue":"6","key":"5569_CR26","doi-asserted-by":"publisher","first-page":"712","DOI":"10.1109\/TEVC.2007.892759","volume":"11","author":"Q Zhang","year":"2007","unstructured":"Zhang Q, Li H (2007) MOEA\/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712\u2013731","journal-title":"IEEE Trans Evol Comput"},{"key":"5569_CR27","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.comnet.2017.04.035","volume":"121","author":"T Zhang","year":"2017","unstructured":"Zhang T, Liu J (2017) An efficient and fast kinematics-based algorithm for RFID network planning. Comput Netw 121:13\u201324","journal-title":"Comput Netw"},{"key":"5569_CR28","doi-asserted-by":"publisher","first-page":"494","DOI":"10.1016\/j.asoc.2016.06.022","volume":"47","author":"J Zhang","year":"2016","unstructured":"Zhang J, Tang Q, Li P, Deng D, Chen Y (2016) A modified MOEA\/D approach to the solution of multi-objective optimal power flow problem. Appl Soft Comput 47:494\u2013514","journal-title":"Appl Soft Comput"},{"key":"5569_CR29","doi-asserted-by":"publisher","first-page":"549","DOI":"10.1016\/j.asoc.2017.02.009","volume":"55","author":"C Zhao","year":"2017","unstructured":"Zhao C, Wu C, Chai J, Wang X, Yang X, Lee J, Kim M (2017) Decomposition-based multi-objective firefly algorithm for RFID network planning with uncertainty. Appl Soft Comput 55:549\u2013564","journal-title":"Appl Soft Comput"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-020-05569-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-020-05569-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-020-05569-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T14:29:57Z","timestamp":1615818597000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-020-05569-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,2]]},"references-count":29,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2021,4]]}},"alternative-id":["5569"],"URL":"https:\/\/doi.org\/10.1007\/s00500-020-05569-1","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,2]]},"assertion":[{"value":"2 February 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}