{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:26:18Z","timestamp":1777703178857,"version":"3.51.4"},"reference-count":48,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2015,9,23]],"date-time":"2015-09-23T00:00:00Z","timestamp":1442966400000},"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":[[2015,9,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>This paper proposes a new fuzzy particle swarm optimization (NFPSO), which is based on a new defined population position and velocity diversity measure. The proposed NFPSO utilizes population diversity information to adjust the inertia weight and membership function of fuzzy variable charisma adaptively, aiming to improve the performance of fuzzy PSO algorithms for numerical optimization problems. Experiments compared the proposed NFPSO with standard PSO, fuzzy PSO, ARPSO, DE and ABC algorithms were conducted on a collection of 25 numerical benchmark problems provided by the IEEE Congress on Evolutionary Computation 2005 special session on real parameter optimization. The results and its statistical analysis show that the proposed NFPSO algorithm performed well when applied in the multi-modal numerical problems.<\/jats:p>","DOI":"10.3233\/ifs-151577","type":"journal-article","created":{"date-parts":[[2015,10,6]],"date-time":"2015-10-06T12:00:56Z","timestamp":1444132856000},"page":"135-147","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["A new fuzzy particle swarm optimization based on population diversity"],"prefix":"10.1177","volume":"29","author":[{"given":"Huan","family":"Lian","sequence":"first","affiliation":[{"name":"School of Mathematics Science, Tianjin Normal University, Tianjin, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Qin","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, P.\u00a0R.\u00a0China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,9,23]]},"reference":[{"key":"e_1_3_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MHS.1995.494215"},{"key":"e_1_3_1_3_1","first-page":"1942","article-title":"Particle swarm optimization","author":"Kennedy J","year":"1995","unstructured":"KennedyJEberhartR1995Particle swarm optimizationIn: Proceedings of IEEE International Conference on Neural Network(ICNN)19421948","journal-title":"In: Proceedings of IEEE International Conference on Neural Network(ICNN)"},{"key":"e_1_3_1_4_1","unstructured":"Eberhart R Kennedy J 1999 The particle swarm: Social adaption in information processing systems New ideas in optimization Corne D Dorigo M Glover F New York McGraw-Hill 379 387"},{"key":"e_1_3_1_5_1","first-page":"69","article-title":"A modified particle swarm optimization","author":"Shi Y","year":"1998","unstructured":"ShiYEberhartR1998A modified particle swarm optimizationIn: Proceedings of IEEE Conference on Evolutionary Computation6973","journal-title":"In: Proceedings of IEEE Conference on Evolutionary Computation"},{"key":"e_1_3_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/4235.985692"},{"key":"e_1_3_1_7_1","first-page":"101","article-title":"Fuzzy adaptive particle swarm optimization, Soul, Seoul Korea","author":"Shi Y","year":"2001","unstructured":"ShiYEberhartR2001Fuzzy adaptive particle swarm optimization, Soul, Seoul KoreaProceeding of Congress on Evolutionary Computation101106","journal-title":"Proceeding of Congress on Evolutionary Computation"},{"key":"e_1_3_1_8_1","first-page":"83","article-title":"Exponential inertia weight for particle swarm optimization","volume":"7331","author":"Ting TO","year":"2012","unstructured":"TingTOShiYChengSLeeS2012Exponential inertia weight for particle swarm optimizationAdvance in Swarm Intelligence, Lecture Notes in Computer Science73318390","journal-title":"Advance in Swarm Intelligence, Lecture Notes in Computer Science"},{"key":"e_1_3_1_9_1","first-page":"93","article-title":"Fuzzy parameter particle swarm optimization, Wuhan","author":"Yadmellat P","year":"2008","unstructured":"YadmellatPSalehizadehSMAMenhajMB2008Fuzzy parameter particle swarm optimization, WuhanIn Proc First International Conference on Intelligence Network and Intelligence Systems9398","journal-title":"In Proc First International Conference on Intelligence Network and Intelligence Systems"},{"key":"e_1_3_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CINC.2009.180"},{"issue":"1","key":"e_1_3_1_11_1","first-page":"567","article-title":"Using modified fuzzy particle swarm optimization algorithm for parameter estimation of surge arresters models","volume":"8","author":"Nafar M","year":"2012","unstructured":"NafarMGharehpetianGBNiknamT2012Using modified fuzzy particle swarm optimization algorithm for parameter estimation of surge arresters modelsInternational Journal of Innovative Computing, Information and Control81567581","journal-title":"International Journal of Innovative Computing, Information and Control"},{"key":"e_1_3_1_12_1","first-page":"503","article-title":"A novel PSO with piecewise-varied inertia weight","author":"Qin QD","year":"2010","unstructured":"QinQDLiLLiRJ2010A novel PSO with piecewise-varied inertia weight2nd International Conference on Information and Financial Engineering503506","journal-title":"2nd International Conference on Information and Financial Engineering"},{"key":"e_1_3_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICGEC.2010.10"},{"key":"e_1_3_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2008.04.005"},{"key":"e_1_3_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2009.12.029"},{"key":"e_1_3_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-010-2927-5"},{"key":"e_1_3_1_17_1","first-page":"572","article-title":"Permutation flow shop scheduling: Fuzzy particle swarm optimization approach, Taipei, Taiwan","author":"Ling SH","year":"2011","unstructured":"LingSHJingFNguyenHTChanKY2011Permutation flow shop scheduling: Fuzzy particle swarm optimization approach, Taipei, TaiwanIEEE International Conference on Fuzzy Systems572778","journal-title":"IEEE International Conference on Fuzzy Systems"},{"key":"e_1_3_1_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2011.04.009"},{"key":"e_1_3_1_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-010-0251-2"},{"key":"e_1_3_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2011.09.014"},{"key":"e_1_3_1_21_1","first-page":"1086","article-title":"Fuzzy PSO: A generation of particle swarm optimization, Canada","author":"Abdelbar AM","year":"2005","unstructured":"AbdelbarAMAbdelshahidSWunschDC2005Fuzzy PSO: A generation of particle swarm optimization, CanadaProceeding of International Joint Conference on Neural Network10861091","journal-title":"Proceeding of International Joint Conference on Neural Network"},{"key":"e_1_3_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2007.4371421"},{"key":"e_1_3_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2009.2015956"},{"key":"e_1_3_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2008.4630928"},{"key":"e_1_3_1_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11704-009-0008-4"},{"key":"e_1_3_1_26_1","first-page":"310","article-title":"Experimental study on PSO diversity","author":"Zhan Z","year":"2010","unstructured":"ZhanZZhangJShiY2010Experimental study on PSO diversityIn Third International Workshop on Advanced Computational Intelligence310317Suzhou China","journal-title":"In Third International Workshop on Advanced Computational Intelligence"},{"key":"e_1_3_1_27_1","unstructured":"RigetJVesterstromJS2002A diversity-guided particle swarm optimization-the ARPSO Technical report EVAlife Department of Computer Science University of Aarhus Denmark"},{"key":"e_1_3_1_28_1","first-page":"3294","article-title":"A simple diversity guided particle swarm optimization","author":"Pant M","year":"2007","unstructured":"PantMRadhaTSinghVP2007A simple diversity guided particle swarm optimizationIEEE Congress on Evolutionary Computation32943299","journal-title":"IEEE Congress on Evolutionary Computation"},{"key":"e_1_3_1_29_1","first-page":"815","article-title":"Replusive particle swarm optimization based on new diversity, China","author":"Niu GC","year":"2010","unstructured":"NiuGCChenBDZengJC2010Replusive particle swarm optimization based on new diversity, ChinaControl and Decision Conference815819","journal-title":"Control and Decision Conference"},{"key":"e_1_3_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/NABIC.2009.5393723"},{"key":"e_1_3_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICNC.2007.543"},{"key":"e_1_3_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-004-0420-5"},{"key":"e_1_3_1_33_1","first-page":"1128","article-title":"Measuring exploration\/exploitation in particle swarms using swarm diversity","author":"Olorunda O","year":"2008","unstructured":"OlorundaOEngelbrechtAP2008Measuring exploration\/exploitation in particle swarms using swarm diversityIEEE World Congress on Computation Intelligence11281134","journal-title":"IEEE World Congress on Computation Intelligence"},{"key":"e_1_3_1_34_1","first-page":"146","article-title":"Particle swarm optimization based on an improved diversity mechanism","author":"Ma LY","year":"2010","unstructured":"MaLYGuoZPChengHF2010Particle swarm optimization based on an improved diversity mechanismThe 2nd IEEE International Conference on Inforamtion Management and Engineering146149","journal-title":"The 2nd IEEE International Conference on Inforamtion Management and Engineering"},{"key":"e_1_3_1_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-21515-5_5"},{"key":"e_1_3_1_36_1","first-page":"228","article-title":"Promoting diversity in particle swarm optimization to slove multimodal problems","volume":"7063","author":"Cheng S","year":"2011","unstructured":"ChengSShiYQinQD2011Promoting diversity in particle swarm optimization to slove multimodal problemsNeural Information Processing, Lecture Notes in Computer Science 20117063228237","journal-title":"Neural Information Processing, Lecture Notes in Computer Science 2011"},{"key":"e_1_3_1_37_1","first-page":"1","article-title":"Diversity control in particle swarm optimization","author":"Cheng S","year":"2011","unstructured":"ChengSShiY2011Diversity control in particle swarm optimizationIEEE Symposium on Swarm Intelligence19","journal-title":"IEEE Symposium on Swarm Intelligence"},{"key":"e_1_3_1_38_1","first-page":"1","article-title":"Population diversity based study on search information propagation in particle swarm optimization","author":"Cheng S","year":"2012","unstructured":"ChengSShiYQinQD2012Population diversity based study on search information propagation in particle swarm optimizationIEEE Congress on Evulotionary Computation18","journal-title":"IEEE Congress on Evulotionary Computation"},{"key":"e_1_3_1_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2000.870279"},{"key":"e_1_3_1_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2005.02.003"},{"key":"e_1_3_1_41_1","unstructured":"SuganthanPNHansenNLiangJJDebKChenY-PAugerATiwariS20052005Problem definitions and evoluation criteria for the CEC special session on real-parameter optimization Technical Report Nanyang Technological University Singapore"},{"key":"e_1_3_1_42_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1008202821328"},{"key":"e_1_3_1_43_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-007-9149-x"},{"key":"e_1_3_1_44_1","first-page":"674","article-title":"The use of ranks to aviod the assumption of normality implicit in the analysis of variance","volume":"37","author":"Friedman M","year":"1937","unstructured":"FriedmanM1937The use of ranks to aviod the assumption of normality implicit in the analysis of varianceJournal of the Amerrican Statistical Association37674701","journal-title":"Journal of the Amerrican Statistical Association"},{"key":"e_1_3_1_45_1","doi-asserted-by":"publisher","DOI":"10.1214\/aoms\/1177731944"},{"key":"e_1_3_1_46_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610928008827904"},{"key":"e_1_3_1_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10732-008-9080-4"},{"key":"e_1_3_1_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2009.12.010"},{"key":"e_1_3_1_49_1","first-page":"65","article-title":"A simple sequentially rejective multiple test procedure","volume":"6","author":"Holm S","year":"1979","unstructured":"HolmS1979A simple sequentially rejective multiple test procedureScandinavian Journal of Statistics66570","journal-title":"Scandinavian Journal of Statistics"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-151577","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/IFS-151577","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-151577","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:38:06Z","timestamp":1777455486000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-151577"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,23]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,9,23]]}},"alternative-id":["10.3233\/IFS-151577"],"URL":"https:\/\/doi.org\/10.3233\/ifs-151577","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9,23]]}}}