{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T17:35:46Z","timestamp":1774805746759,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T00:00:00Z","timestamp":1643328000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T00:00:00Z","timestamp":1643328000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100014718","name":"Innovative Research Group Project of the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U1813205"],"award-info":[{"award-number":["U1813205"]}],"id":[{"id":"10.13039\/100014718","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2022,3]]},"DOI":"10.1007\/s00500-021-06623-2","type":"journal-article","created":{"date-parts":[[2022,1,28]],"date-time":"2022-01-28T00:04:01Z","timestamp":1643328241000},"page":"2075-2097","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["A hybrid whale optimization algorithm with artificial bee colony"],"prefix":"10.1007","volume":"26","author":[{"given":"Chenjun","family":"Tang","sequence":"first","affiliation":[]},{"given":"Wei","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Min","family":"Xue","sequence":"additional","affiliation":[]},{"given":"Xing","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Hongwei","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Wei","family":"Wu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,1,28]]},"reference":[{"key":"6623_CR1","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1016\/j.eswa.2017.04.023","volume":"83","author":"M Abd El Aziz","year":"2017","unstructured":"Abd El Aziz M, Eweesc AA, Hassanien AE (2017) Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation. Expert Syst Appl 83:242\u2013256","journal-title":"Expert Syst Appl"},{"key":"6623_CR2","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1016\/j.future.2018.03.020","volume":"85","author":"M Abdel-Basset","year":"2018","unstructured":"Abdel-Basset M, Manogaran G, El-Shahat D, Mirjalili S (2018) A hybrid whale optimization algorithm based on local search strategy for the permutation flow shop scheduling problem. Future Gener Comput Syst Int J Esci 85:129\u2013145","journal-title":"Future Gener Comput Syst Int J Esci"},{"key":"6623_CR3","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1016\/j.ymssp.2019.03.035","volume":"128","author":"ZH Cai","year":"2019","unstructured":"Cai ZH, Lou J, Zhao J, Wu K, Liu NJ, Wang YX (2019) Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization-based active disturbance rejection control. Mech Syst Signal Process 128:636\u2013654","journal-title":"Mech Syst Signal Process"},{"key":"6623_CR4","doi-asserted-by":"crossref","first-page":"672","DOI":"10.1111\/tgis.12517","volume":"23","author":"M Cao","year":"2019","unstructured":"Cao M, Huang MX, Xu RQ, Lu GN, Chen M (2019) A grey wolf optimizer-cellular automata integrated model for urban growth simulation and optimization. Trans GIS 23:672\u2013687","journal-title":"Trans GIS"},{"key":"6623_CR5","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.apm.2019.02.004","volume":"71","author":"H Chen","year":"2019","unstructured":"Chen H, Xu Y, Wang M, Zhao X (2019) A balanced whale optimization algorithm for constrained engineering design problems. Appl Math Model 71:45\u201359","journal-title":"Appl Math Model"},{"key":"6623_CR6","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1016\/S0045-7825(01)00323-1","volume":"191","author":"CAC Coello","year":"2002","unstructured":"Coello CAC (2002) Theoretical and numerical constraint-handling techniques used with evolutionary algorithms: a survey of the state of the art. Comput Methods Appl Mech Eng 191:1245\u20131287","journal-title":"Comput Methods Appl Mech Eng"},{"key":"6623_CR7","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1016\/B978-0-12-809449-5.00007-3","volume":"2017","author":"PL Dhar","year":"2017","unstructured":"Dhar PL (2017) Introduction to optimum design. Ther Syst Des Simul 2017:385\u2013407","journal-title":"Ther Syst Des Simul"},{"key":"6623_CR8","doi-asserted-by":"crossref","first-page":"2367","DOI":"10.3390\/en11092367","volume":"11","author":"T Ding","year":"2018","unstructured":"Ding T, Chang L, Li CS, Feng C, Zhang N (2018d) A mixed-strategy-based whale optimization algorithm for parameter identification of hydraulic turbine governing systems with a delayed water hammer effect. Energies 11:2367","journal-title":"Energies"},{"key":"6623_CR9","doi-asserted-by":"crossref","first-page":"774","DOI":"10.1049\/iet-its.2016.0282","volume":"12","author":"XS Dong","year":"2018","unstructured":"Dong XS, Dong WY, Call YL (2018) Ant colony optimisation for coloured travelling salesman problem by multi-task learning. IET Intel Transp Syst 12:774\u2013782","journal-title":"IET Intel Transp Syst"},{"key":"6623_CR10","volume-title":"Ieee, and Ieee, Comparing inertia weights and constriction factors in particle swarm optimization","author":"RC Eberhart","year":"2000","unstructured":"Eberhart RC, Shi Y (2000) Ieee, and Ieee, Comparing inertia weights and constriction factors in particle swarm optimization. IEEE, New York"},{"key":"6623_CR11","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1080\/03052150601047362","volume":"39","author":"SKS Fan","year":"2007","unstructured":"Fan SKS, Chiu YY (2007) A decreasing inertia weight particle swarm optimizer. Eng Optim 39:203\u2013228","journal-title":"Eng Optim"},{"key":"6623_CR12","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1016\/j.cnsns.2012.07.017","volume":"18","author":"AH Gandomi","year":"2013","unstructured":"Gandomi AH, Yun GJ, Yang XS, Talatahari S (2013) Chaos-enhanced accelerated particle swarm optimization. Commun Nonlinear Sci Numer Simul 18:327\u2013340","journal-title":"Commun Nonlinear Sci Numer Simul"},{"key":"6623_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.swevo.2019.03.004","volume":"48","author":"FS Gharehchopogh","year":"2019","unstructured":"Gharehchopogh FS, Gholizadeh H (2019) A comprehensive survey: Whale optimization algorithm and its applications. Swarm Evol Comput 48:1\u201324","journal-title":"Swarm Evol Comput"},{"key":"6623_CR14","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1002\/cpe.6310","volume":"33","author":"FS Gharehchopogh","year":"2021","unstructured":"Gharehchopogh FS, Farnad B, Alizadeh A (2021a) A farmland fertility algorithm for solving constrained engineering problems. Concurr Comput Pract Exp 33:17","journal-title":"Concurr Comput Pract Exp"},{"key":"6623_CR15","doi-asserted-by":"crossref","unstructured":"Gharehchopogh FS, Maleki I, Dizaji ZA (2021) Chaotic vortex search algorithm: metaheuristic algorithm for feature selection. Evolut Intell 2021(4)","DOI":"10.1007\/s12065-021-00590-1"},{"key":"6623_CR16","first-page":"1","volume":"2021","author":"MJ Goldanloo","year":"2021","unstructured":"Goldanloo MJ, Gharehchopogh FS (2021) A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems. J Supercomput 2021:1\u201334","journal-title":"J Supercomput"},{"key":"6623_CR17","doi-asserted-by":"crossref","first-page":"7277","DOI":"10.1007\/s13369-019-03806-w","volume":"44","author":"S Gupta","year":"2019","unstructured":"Gupta S, Deep K (2019) An efficient grey wolf optimizer with opposition-based learning and chaotic local search for integer and mixed-integer optimization problems. Arab J Sci Eng 44:7277\u20137296","journal-title":"Arab J Sci Eng"},{"key":"6623_CR18","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.isatra.2015.09.015","volume":"59","author":"Q He","year":"2015","unstructured":"He Q, Hu XT, Ren H, Zhang HQ (2015) A novel artificial fish swarm algorithm for solving large-scale reliability-redundancy application problem. ISA Trans 59:105\u2013113","journal-title":"ISA Trans"},{"key":"6623_CR19","doi-asserted-by":"crossref","first-page":"6915","DOI":"10.4249\/scholarpedia.6915","volume":"5","author":"D Karaboga","year":"2010","unstructured":"Karaboga D (2010) Artificial bee colony algorithm. Scholarpedia 5:6915","journal-title":"Scholarpedia"},{"key":"6623_CR20","doi-asserted-by":"crossref","first-page":"e3700","DOI":"10.1002\/dac.3700","volume":"31","author":"NP Karlekar","year":"2018","unstructured":"Karlekar NP, Gomathi N (2018) OW-SVM: Ontology and whale optimization-based support vector machine for privacy-preserved medical data classification in cloud. Int J Commun Syst 31:e3700","journal-title":"Int J Commun Syst"},{"key":"6623_CR21","unstructured":"Kennedy J, Eberhart R (2002) Particle swarm optimization. In: Icnn95-international conference on neural networks."},{"key":"6623_CR22","doi-asserted-by":"crossref","first-page":"e2349","DOI":"10.1002\/jnm.2349","volume":"31","author":"RK Khadanga","year":"2018","unstructured":"Khadanga RK, Padhy S, Panda S, Kumar A (2018b) Design and analysis of multi-stage PID controller for frequency control in an islanded micro-grid using a novel hybrid whale optimization-pattern search algorithm. Int J Numer Model Electron Netw Devices Fields 31:e2349","journal-title":"Int J Numer Model Electron Netw Devices Fields"},{"key":"6623_CR23","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1007\/s10489-018-1247-6","volume":"49","author":"NM Laskar","year":"2019","unstructured":"Laskar NM, Guha K, Chatterjee I, Chanda S, Baishnab KL, Paul PK (2019) HWPSO: a new hybrid whale-particle swarm optimization algorithm and its application in electronic design optimization problems. Appl Intell 49:265\u2013291","journal-title":"Appl Intell"},{"key":"6623_CR24","first-page":"1121","volume":"8","author":"MS Li","year":"2018","unstructured":"Li MS, Zhang HJ, Liu L, Chen BS, Guan LX, Wu Y (2018e) A quantitative structure-property relationship model based on chaos-enhanced accelerated particle swarm optimization algorithm and back propagation artificial neural network. Appl Sci Basel 8:1121","journal-title":"Appl Sci Basel"},{"key":"6623_CR25","doi-asserted-by":"crossref","first-page":"1982","DOI":"10.1007\/s10489-018-1362-4","volume":"49","author":"J Luo","year":"2018","unstructured":"Luo J, Shi B (2018) A hybrid whale optimization algorithm based on modified differential evolution for global optimization problems. Appl Intell 49:1982\u20132000","journal-title":"Appl Intell"},{"key":"6623_CR26","doi-asserted-by":"crossref","first-page":"302","DOI":"10.1016\/j.neucom.2017.04.053","volume":"260","author":"MM Mafarja","year":"2017","unstructured":"Mafarja MM, Mirjalili S (2017) Hybrid Whale Optimization Algorithm with simulated annealing for feature selection. Neurocomputing 260:302\u2013312","journal-title":"Neurocomputing"},{"key":"6623_CR27","doi-asserted-by":"crossref","first-page":"441","DOI":"10.1016\/j.asoc.2017.11.006","volume":"62","author":"M Mafarja","year":"2018","unstructured":"Mafarja M, Mirjalili S (2018) Whale optimization approaches for wrapper feature selection. Appl Soft Comput 62:441\u2013453","journal-title":"Appl Soft Comput"},{"key":"6623_CR28","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.knosys.2018.03.024","volume":"151","author":"HH Mehne","year":"2018","unstructured":"Mehne HH, Mirjalili S (2018) A parallel numerical method for solving optimal control problems based on whale optimization algorithm. Knowl Based Syst 151:114\u2013123","journal-title":"Knowl Based Syst"},{"key":"6623_CR29","doi-asserted-by":"crossref","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":"6623_CR30","doi-asserted-by":"crossref","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 69:46\u201361","journal-title":"Adv Eng Softw"},{"key":"6623_CR31","doi-asserted-by":"crossref","first-page":"495","DOI":"10.1007\/s00521-015-1870-7","volume":"27","author":"S Mirjalili","year":"2015","unstructured":"Mirjalili S, Mirjalili SM, Hatamlou A (2015) Multi-verse optimizer: a nature-inspired algorithm for global optimization. Neural Comput Appl 27:495\u2013513","journal-title":"Neural Comput Appl"},{"issue":"3","key":"6623_CR32","doi-asserted-by":"crossref","DOI":"10.1002\/dac.4670","volume":"34","author":"H Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh H, Gharehchopogh FS (2021) A multi-agent system based for solving high-dimensional optimization problems: a case study on email spam detection. Int J Commun Syst 34(3):e4670","journal-title":"Int J Commun Syst"},{"key":"6623_CR33","doi-asserted-by":"crossref","first-page":"176","DOI":"10.1111\/coin.12397","volume":"37","author":"H Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh H, Gharehchopogh FS (2021) A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: case study email spam detection. Comput Intell 37:176\u2013209","journal-title":"Comput Intell"},{"key":"6623_CR34","doi-asserted-by":"crossref","first-page":"340","DOI":"10.1016\/j.asoc.2017.05.060","volume":"59","author":"P Mohapatra","year":"2017","unstructured":"Mohapatra P, Das KN, Roy S (2017) A modified competitive swarm optimizer for large scale optimization problems. Appl Soft Comput 59:340\u2013362","journal-title":"Appl Soft Comput"},{"key":"6623_CR35","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.asoc.2009.07.001","volume":"10","author":"T Niknam","year":"2010","unstructured":"Niknam T, Amiri B (2010) An efficient hybrid approach based on PSO, ACO and k-means for cluster analysis. Appl Soft Comput 10:183\u2013197","journal-title":"Appl Soft Comput"},{"key":"6623_CR36","first-page":"14","volume":"2021","author":"EDP Puchta","year":"2021","unstructured":"Puchta EDP, Bassetto P, Biuk LH, Itaborahy MA, Converti A, Kaster MD et al (2021) Swarm-inspired algorithms to optimize a nonlinear gaussian adaptive PID controller. Energies 2021:14","journal-title":"Energies"},{"key":"6623_CR37","doi-asserted-by":"crossref","first-page":"32169","DOI":"10.1007\/s11042-020-09639-2","volume":"79","author":"N Rahnema","year":"2020","unstructured":"Rahnema N, Gharehchopogh FS (2020) An improved artificial bee colony algorithm based on whale optimization algorithm for data clustering. Multimed Tools Appl 79:32169\u201332194","journal-title":"Multimed Tools Appl"},{"key":"6623_CR38","doi-asserted-by":"crossref","first-page":"5508","DOI":"10.1016\/j.asoc.2011.05.008","volume":"11","author":"R Rajabioun","year":"2011","unstructured":"Rajabioun R (2011) Cuckoo optimization algorithm. Appl Soft Comput J 11:5508\u20135518","journal-title":"Appl Soft Comput J"},{"key":"6623_CR39","doi-asserted-by":"crossref","first-page":"2232","DOI":"10.1016\/j.ins.2009.03.004","volume":"179","author":"E Rashedi","year":"2009","unstructured":"Rashedi E, Nezamabadi-pour H, Saryazdi S (2009) GSA: a gravitational search algorithm. Inf Sci 179:2232\u20132248","journal-title":"Inf Sci"},{"key":"6623_CR40","doi-asserted-by":"crossref","first-page":"1802","DOI":"10.1002\/oca.2443","volume":"39","author":"PR Sahu","year":"2018","unstructured":"Sahu PR, Hota PK, Panda S (2018c) Modified whale optimization algorithm for fractional-order multi-input SSSC-based controller design. Optim Control Appl Methods 39:1802\u20131817","journal-title":"Optim Control Appl Methods"},{"key":"6623_CR41","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1007\/s00357-018-9261-2","volume":"35","author":"GI Sayed","year":"2018","unstructured":"Sayed GI, Darwish A, Hassanien AE (2018) A New chaotic whale optimization algorithm for features selection. J Classif 35:300\u2013344","journal-title":"J Classif"},{"key":"6623_CR42","doi-asserted-by":"crossref","first-page":"15291","DOI":"10.1007\/s00500-020-04863-2","volume":"24","author":"P Shao","year":"2020","unstructured":"Shao P, Yang L, Tan L, Li GQ, Peng H (2020) Enhancing artificial bee colony algorithm using refraction principle. Soft Comput 24:15291\u201315306","journal-title":"Soft Comput"},{"key":"6623_CR43","doi-asserted-by":"crossref","unstructured":"Singh RP, Dixit M, Silakari S (2015) Image contrast enhancement using GA and PSO: a survey. In: International conference on computational intelligence and communication networks","DOI":"10.1109\/CICN.2014.51"},{"key":"6623_CR44","doi-asserted-by":"crossref","first-page":"563","DOI":"10.1016\/j.eswa.2018.08.027","volume":"114","author":"YJ Sun","year":"2018","unstructured":"Sun YJ, Wang XL, Chen YH, Liu ZJ (2018) A modified whale optimization algorithm for large-scale global optimization problems. Expert Syst Appl 114:563\u2013577","journal-title":"Expert Syst Appl"},{"key":"6623_CR45","doi-asserted-by":"crossref","first-page":"210","DOI":"10.3390\/sym10060210","volume":"10","author":"WZ Sun","year":"2018","unstructured":"Sun WZ, Wang JS, Wei X (2018a) An improved whale optimization algorithm based on different searching paths and perceptual disturbance. Symmet Basel 10:210","journal-title":"Symmet Basel"},{"key":"6623_CR46","unstructured":"Talbi H, Batouche M, and Ieee (2004) Hybrid particle swarm with differential evolution for multimodal image registration"},{"key":"6623_CR47","doi-asserted-by":"publisher","unstructured":"Tang C, Sun W, Wu W, Xue M (2019) A hybrid improved whale optimization algorithm. In: IEEE 15th international conference on control and automation (ICCA), 2019, https:\/\/doi.org\/10.1109\/ICCA.2019.8900003.","DOI":"10.1109\/ICCA.2019.8900003"},{"key":"6623_CR48","doi-asserted-by":"crossref","first-page":"2935","DOI":"10.1007\/s00500-017-2547-1","volume":"22","author":"Y Xue","year":"2018","unstructured":"Xue Y, Jiang JM, Zhao BP, Ma TH (2018) A self-adaptive artificial bee colony algorithm based on global best for global optimization. Soft Comput 22:2935\u20132952","journal-title":"Soft Comput"},{"key":"6623_CR49","doi-asserted-by":"crossref","first-page":"87","DOI":"10.3390\/w10010087","volume":"10","author":"ZH Yan","year":"2018","unstructured":"Yan ZH, Sha JX, Liu B, Tian W, Lu JP (2018) An ameliorative whale optimization algorithm for multi-objective optimal allocation of water resources in Handan, China. Water 10:87","journal-title":"Water"},{"key":"6623_CR50","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1016\/j.jtbi.2018.10.012","volume":"461","author":"CH Yang","year":"2019","unstructured":"Yang CH, Yang HS, Chuang LY (2019) PBMDR: a particle swarm optimization-based multifactor dimensionality reduction for the detection of multilocus interactions. J Theor Biol 461:68\u201375","journal-title":"J Theor Biol"},{"key":"6623_CR51","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-021-01431-6","author":"HRR Zaman","year":"2021","unstructured":"Zaman HRR, Gharehchopogh FS (2021) An improved particle swarm optimization with backtracking search optimization algorithm for solving continuous optimization problems. Eng Comput. https:\/\/doi.org\/10.1007\/s00366-021-01431-6","journal-title":"Eng Comput"},{"key":"6623_CR52","doi-asserted-by":"crossref","first-page":"41","DOI":"10.2528\/PIER15040602","volume":"152","author":"YD Zhang","year":"2015","unstructured":"Zhang YD, Wang SH, Dong ZC, Phillip P, Ji GL, Yang JQ (2015) Pathological brain detection in magnetic resonance imaging scanning by wavelet entropy and hybridization of biogeography-based optimization and particle swarm optimization. Prog Electromag Res Pier 152:41\u201358","journal-title":"Prog Electromag Res Pier"},{"key":"6623_CR53","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2018.08.049","volume":"471","author":"K Zhang","year":"2019","unstructured":"Zhang K, Huang Q, Zhang Y (2019) Enhancing comprehensive learning particle swarm optimization with local optima topology. Inf Sci 471:1\u201318","journal-title":"Inf Sci"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06623-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00500-021-06623-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-021-06623-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,20]],"date-time":"2022-02-20T06:15:55Z","timestamp":1645337755000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00500-021-06623-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,28]]},"references-count":53,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,3]]}},"alternative-id":["6623"],"URL":"https:\/\/doi.org\/10.1007\/s00500-021-06623-2","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,28]]},"assertion":[{"value":"27 November 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}