{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,30]],"date-time":"2026-05-30T01:07:28Z","timestamp":1780103248139,"version":"3.54.0"},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T00:00:00Z","timestamp":1590364800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T00:00:00Z","timestamp":1590364800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41404008"],"award-info":[{"award-number":["41404008"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Engineering with Computers"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s00366-020-01034-7","type":"journal-article","created":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T04:02:25Z","timestamp":1590379345000},"page":"175-189","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["An efficient refracted salp swarm algorithm and its application in structural parameter identification"],"prefix":"10.1007","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2920-4253","authenticated-orcid":false,"given":"Qian","family":"Fan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenjian","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhao","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhanghua","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youqin","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2020,5,25]]},"reference":[{"issue":"8","key":"1034_CR1","first-page":"1185","volume":"6531","author":"D Balageas","year":"2001","unstructured":"Balageas D, Fritzen CP, G\u00fcemes A (2001) Structural health monitoring. Struct Eng Mech Comput 6531(8):1185\u20131193","journal-title":"Struct Eng Mech Comput"},{"key":"1034_CR2","doi-asserted-by":"publisher","first-page":"432","DOI":"10.1016\/j.engstruct.2014.10.010","volume":"81","author":"J Yu","year":"2014","unstructured":"Yu J, Meng X, Shao X, Yan B, Yang L (2014) Identification of dynamic displacements and modal frequencies of a medium-span suspension bridge using multimode GNSS processing. Eng Struct 81:432\u2013443. https:\/\/doi.org\/10.1016\/j.engstruct.2014.10.010","journal-title":"Eng Struct"},{"key":"1034_CR3","doi-asserted-by":"publisher","DOI":"10.1002\/stc.2467","author":"J Yu","year":"2019","unstructured":"Yu J, Meng X, Yan B, Xu B, Fan Q, Xie Y (2019) Global Navigation Satellite System-based positioning technology for structural health monitoring: a review. Struct Control Health Monit. https:\/\/doi.org\/10.1002\/stc.2467","journal-title":"Struct Control Health Monit"},{"issue":"1","key":"1034_CR4","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1121\/1.386621","volume":"70","author":"JC Burgess","year":"1981","unstructured":"Burgess JC (1981) Engineering applications of correlation and spectral analysis, by Julius S. Bendat and Allan G. Piersol. J Acoust Soc Am 70(1):262\u2013263","journal-title":"J Acoust Soc Am"},{"issue":"1","key":"1034_CR5","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1061\/(ASCE)0733-9399(2004)130:1(49)","volume":"130","author":"JM Caicedo","year":"2004","unstructured":"Caicedo JM, Dyke SJ, Johnson EA (2004) Natural excitation technique and eigensystem realization algorithm for phase I of the IASC-ASCE benchmark problem: simulated data. J Eng Mech 130(1):49\u201360. https:\/\/doi.org\/10.1061\/(ASCE)0733-9399(2004)130:1(49)","journal-title":"J Eng Mech"},{"key":"1034_CR6","doi-asserted-by":"publisher","DOI":"10.1155\/2014\/103102","author":"FG Wang","year":"2014","unstructured":"Wang FG, Ling XZ, Xu X, Zhang F (2014) Structural stiffness identification based on the extended Kalman filter research. Abstr Appl Anal. https:\/\/doi.org\/10.1155\/2014\/103102","journal-title":"Abstr Appl Anal"},{"issue":"7","key":"1034_CR7","doi-asserted-by":"publisher","first-page":"1190","DOI":"10.1016\/j.ijimpeng.2004.09.012","volume":"32","author":"L Zheng","year":"2006","unstructured":"Zheng L, Xia S, Wang J, Su X (2006) Damage detection of cracked beams based on wavelet transform. Int J Impact Eng 32(7):1190\u20131200","journal-title":"Int J Impact Eng"},{"issue":"1\u20132","key":"1034_CR8","first-page":"66","volume":"47","author":"M Feldman","year":"2012","unstructured":"Feldman M (2012) Hilbert transform methods for nonparametric identification of nonlinear time varying vibration systems. Mech Syst Signal Process 47(1\u20132):66\u201377","journal-title":"Mech Syst Signal Process"},{"issue":"1","key":"1034_CR9","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1016\/j.procs.2015.05.218","volume":"51","author":"CE Braun","year":"2015","unstructured":"Braun CE, Chiwiacowsky LD, G\u00f3mez AT (2015) Variations of ant colony optimization for the solution of the structural damage identification problem. Procedia Comput Sci 51(1):875\u2013884. https:\/\/doi.org\/10.1016\/j.procs.2015.05.218","journal-title":"Procedia Comput Sci"},{"issue":"1","key":"1034_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jtte.2018.09.002","volume":"6","author":"R Greco","year":"2019","unstructured":"Greco R, Vanzi I (2019) New few parameters differential evolution algorithm with application to structural identification. J Traffic Transport Eng (English Ed) 6(1):1\u201314. https:\/\/doi.org\/10.1016\/j.jtte.2018.09.002","journal-title":"J Traffic Transport Eng (English Ed)"},{"key":"1034_CR11","doi-asserted-by":"publisher","first-page":"105602","DOI":"10.1016\/j.asoc.2019.105602","volume":"83","author":"Z Ding","year":"2019","unstructured":"Ding Z, Zhao Y, Lu Z (2019) Simultaneous identification of structural stiffness and mass parameters based on Bare-bones Gaussian Tree Seeds Algorithm using time-domain data. Appl Soft Comput 83:105602. https:\/\/doi.org\/10.1016\/j.asoc.2019.105602","journal-title":"Appl Soft Comput"},{"key":"1034_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.swevo.2015.10.010","volume":"28","author":"ZH Ding","year":"2016","unstructured":"Ding ZH, Huang M, Lu ZR (2016) Structural damage detection using artificial bee colony algorithm with hybrid search strategy. Swarm Evolut Comput 28:1\u201313","journal-title":"Swarm Evolut Comput"},{"key":"1034_CR13","doi-asserted-by":"publisher","first-page":"449","DOI":"10.12989\/sss.2017.19.4.449","volume":"19","author":"M Nobahari","year":"2017","unstructured":"Nobahari M, Ghasemi MR, Shabakhty N (2017) A novel heuristic search algorithm for optimization with application to structural damage identification. Smart Struct Syst 19:449\u2013461. https:\/\/doi.org\/10.12989\/sss.2017.19.4.449","journal-title":"Smart Struct Syst"},{"key":"1034_CR14","doi-asserted-by":"publisher","DOI":"10.1177\/1369433216630128","author":"H Xu","year":"2016","unstructured":"Xu H, Liu J, Lu Z (2016) Structural damage identification based on cuckoo search algorithm. Adv Struct Eng. https:\/\/doi.org\/10.1177\/1369433216630128","journal-title":"Adv Struct Eng"},{"issue":"1","key":"1034_CR15","doi-asserted-by":"publisher","first-page":"66","DOI":"10.1038\/scientificamerican0792-66","volume":"267","author":"JH Holland","year":"1992","unstructured":"Holland JH (1992) Genetic algorithms. Sci Am 267(1):66\u201373","journal-title":"Sci Am"},{"issue":"4598","key":"1034_CR16","doi-asserted-by":"publisher","first-page":"671","DOI":"10.1126\/science.220.4598.671","volume":"220","author":"S Kirkpatrick","year":"1983","unstructured":"Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 220(4598):671\u2013680","journal-title":"Science"},{"key":"1034_CR17","unstructured":"Kennedy J, Eberhart R (2002) Particle swarm optimization. In: Icnn95-international conference on neural networks"},{"issue":"C","key":"1034_CR18","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.advengsoft.2015.01.010","volume":"83","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S (2015) The ant lion optimizer. Adv Eng Softw 83(C):80\u201398","journal-title":"Adv Eng Softw"},{"issue":"2","key":"1034_CR19","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1177\/003754970107600201","volume":"76","author":"ZW Geem","year":"2001","unstructured":"Geem ZW, Kim JH, Loganathan GV (2001) A new heuristic optimization algorithm: harmony search. Simulation 76(2):60\u201368. https:\/\/doi.org\/10.1177\/003754970107600201","journal-title":"Simulation"},{"key":"1034_CR20","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.advengsoft.2017.01.004","volume":"105","author":"S Saremi","year":"2017","unstructured":"Saremi S, Mirjalili S, Lewis A (2017) Grasshopper optimisation algorithm: theory and application. Adv Eng Softw 105:30\u201347. https:\/\/doi.org\/10.1016\/j.advengsoft.2017.01.004","journal-title":"Adv Eng Softw"},{"issue":"3","key":"1034_CR21","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.advengsoft.2013.12.007","volume":"69","author":"S Mirjalili","year":"2014","unstructured":"Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69(3):46\u201361","journal-title":"Adv Eng Softw"},{"key":"1034_CR22","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.advengsoft.2016.01.008","volume":"95","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S, Lewis A (2016) The whale optimization algorithm. Adv Eng Softw 95:51\u201367","journal-title":"Adv Eng Softw"},{"key":"1034_CR23","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1016\/j.knosys.2015.12.022","volume":"96","author":"S Mirjalili","year":"2016","unstructured":"Mirjalili S (2016) SCA: a Sine Cosine Algorithm for solving optimization problems. Knowl Based Syst 96:120\u2013133","journal-title":"Knowl Based Syst"},{"key":"1034_CR24","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-1870-7","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S, Mirjalili S, Hatamlou A (2015) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl. https:\/\/doi.org\/10.1007\/s00521-015-1870-7","journal-title":"Neural Comput Appl"},{"key":"1034_CR25","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1016\/j.future.2019.02.028","volume":"97","author":"AA Heidari","year":"2019","unstructured":"Heidari AA, Mirjalili S, Faris H, Aljarah I, Mafarja M, Chen H (2019) Harris hawks optimization: algorithm and applications. Future Gener Comput Syst 97:849\u2013872. https:\/\/doi.org\/10.1016\/j.future.2019.02.028","journal-title":"Future Gener Comput Syst"},{"key":"1034_CR26","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1016\/j.advengsoft.2017.07.002","volume":"114","author":"S Mirjalili","year":"2017","unstructured":"Mirjalili S, Gandomi AH, Mirjalili SZ, Saremi S, Faris H, Mirjalili SM (2017) Salp Swarm Algorithm: a bio-inspired optimizer for engineering design problems. Adv Eng Softw 114:163\u2013191. https:\/\/doi.org\/10.1016\/j.advengsoft.2017.07.002","journal-title":"Adv Eng Softw"},{"key":"1034_CR27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-74690-6_5","author":"A Ibrahim","year":"2018","unstructured":"Ibrahim A, Ahmed A, Hussein S, Hassanien AE (2018) Fish image segmentation using salp swarm algorithm. Int Conf Adv Mach Learn Technol Appl. https:\/\/doi.org\/10.1007\/978-3-319-74690-6_5","journal-title":"Int Conf Adv Mach Learn Technol Appl"},{"key":"1034_CR28","doi-asserted-by":"publisher","first-page":"104834","DOI":"10.1016\/j.knosys.2019.07.005","volume":"182","author":"TAA Ali","year":"2019","unstructured":"Ali TAA, Xiao Z, Sun J, Mirjalili S, Havyarimana V, Jiang H (2019) Optimal design of IIR wideband digital differentiators and integrators using salp swarm algorithm. Knowl Based Syst 182:104834. https:\/\/doi.org\/10.1016\/j.knosys.2019.07.005","journal-title":"Knowl Based Syst"},{"key":"1034_CR29","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.oceaneng.2019.04.013","volume":"181","author":"M Khishe","year":"2019","unstructured":"Khishe M, Mohammadi H (2019) Passive sonar target classification using multi-layer perceptron trained by salp swarm algorithm. Ocean Eng 181:98\u2013108. https:\/\/doi.org\/10.1016\/j.oceaneng.2019.04.013","journal-title":"Ocean Eng"},{"key":"1034_CR30","doi-asserted-by":"publisher","first-page":"105938","DOI":"10.1016\/j.epsr.2019.105938","volume":"176","author":"HM Hasanien","year":"2019","unstructured":"Hasanien HM, El-Fergany AA (2019) Salp swarm algorithm-based optimal load frequency control of hybrid renewable power systems with communication delay and excitation cross-coupling effect. Electr Power Syst Res 176:105938. https:\/\/doi.org\/10.1016\/j.epsr.2019.105938","journal-title":"Electr Power Syst Res"},{"key":"1034_CR31","unstructured":"Tizhoosh HR (2005) Opposition-based learning: a new scheme for machine intelligence. In: International conference on computational intelligence for modelling, control & automation, & international conference on intelligent agents, web technologies & internet commerce"},{"key":"1034_CR32","first-page":"524821","volume":"2015","author":"J Shang","year":"2015","unstructured":"Shang J, Sun Y, Li S, Liu JX, Zheng CH, Zhang J (2015) An Improved opposition-based learning particle swarm optimization for the detection of SNP\u2013SNP interactions. Biomed Res Int 2015:524821","journal-title":"Biomed Res Int"},{"key":"1034_CR33","doi-asserted-by":"publisher","first-page":"S09574174183037","DOI":"10.1016\/j.eswa.2018.06.023","volume":"112","author":"AA Ewees","year":"2018","unstructured":"Ewees AA, Elaziz MA, Houssein EH (2018) Improved grasshopper optimization algorithm using opposition-based learning. Expert Syst Appl 112:S0957417418303701","journal-title":"Expert Syst Appl"},{"key":"1034_CR34","first-page":"S09574174173052","volume":"90","author":"MA Elaziz","year":"2017","unstructured":"Elaziz MA, Oliva D, Xiong S (2017) An improved opposition-based sine cosine algorithm for global optimization. Expert Syst Appl 90:S0957417417305201","journal-title":"Expert Syst Appl"},{"issue":"5","key":"1034_CR35","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1007\/s13344-014-0055-y","volume":"28","author":"M Khajehzadeh","year":"2014","unstructured":"Khajehzadeh M, Taha MR, Eslami M (2014) Opposition-based firefly algorithm for earth slope stability evaluation. China Ocean Eng 28(5):713\u2013724","journal-title":"China Ocean Eng"},{"issue":"10","key":"1034_CR36","doi-asserted-by":"publisher","first-page":"2631","DOI":"10.1007\/s00500-015-1963-3","volume":"21","author":"P Shao","year":"2017","unstructured":"Shao P, Wu Z, Zhou T, Dang C (2017) FIR digital filter design using improved particle swarm optimization based on refraction principle. Soft Comput 21(10):2631\u20132642","journal-title":"Soft Comput"},{"key":"1034_CR37","doi-asserted-by":"publisher","first-page":"57805","DOI":"10.1109\/ACCESS.2019.2910813","volume":"7","author":"W Long","year":"2019","unstructured":"Long W, Wu T, Cai S, Liang X, Jiao J, Xu M (2019) A novel grey wolf optimizer algorithm with refraction learning. IEEE Access 7:57805\u201357819. https:\/\/doi.org\/10.1109\/ACCESS.2019.2910813","journal-title":"IEEE Access"},{"issue":"11","key":"1034_CR38","first-page":"46","volume":"55","author":"G Wang","year":"2019","unstructured":"Wang G, Jin JY (2019) Moth-flame optimization algorithm fused on refraction principle and opposite-based learning. Comput Eng Appl 55(11):46\u201351","journal-title":"Comput Eng Appl"},{"issue":"2","key":"1034_CR39","first-page":"82","volume":"3","author":"X Yao","year":"1999","unstructured":"Yao X, Liu Y, Lin G (1999) Evolutionary programming made faster. IEEE Transevolcomput 3(2):82\u2013102","journal-title":"IEEE Transevolcomput"},{"issue":"4","key":"1034_CR40","doi-asserted-by":"publisher","first-page":"481","DOI":"10.1080\/00207160108805080","volume":"77","author":"JG Digalakis","year":"2001","unstructured":"Digalakis JG, Margaritis KG (2001) On benchmarking functions for genetic algorithms. Int J Comput Math 77(4):481\u2013506","journal-title":"Int J Comput Math"},{"issue":"2","key":"1034_CR41","first-page":"77","volume":"2014","author":"SF Jiang","year":"2014","unstructured":"Jiang SF, Wu SY, Dong LQ (2014) A time-domain structural damage detection method based on improved multiparticle swarm coevolution optimization algorithm. Math Probl Eng 2014(2):77\u201385","journal-title":"Math Probl Eng"},{"key":"1034_CR42","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/305\/1\/012096","author":"TS Maung","year":"2011","unstructured":"Maung TS, Chen HP, Alani AM (2011) Real time structural damage assessment from vibration measurements. J Phys Conf Ser. https:\/\/doi.org\/10.1088\/1742-6596\/305\/1\/012096","journal-title":"J Phys Conf Ser"}],"container-title":["Engineering with Computers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00366-020-01034-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00366-020-01034-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00366-020-01034-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,22]],"date-time":"2022-02-22T01:05:15Z","timestamp":1645491915000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00366-020-01034-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,25]]},"references-count":42,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["1034"],"URL":"https:\/\/doi.org\/10.1007\/s00366-020-01034-7","relation":{},"ISSN":["0177-0667","1435-5663"],"issn-type":[{"value":"0177-0667","type":"print"},{"value":"1435-5663","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,25]]},"assertion":[{"value":"11 April 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}