{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T12:21:49Z","timestamp":1774182109124,"version":"3.50.1"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T00:00:00Z","timestamp":1629244800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"published-print":{"date-parts":[[2022,2]]},"DOI":"10.1007\/s11227-021-04015-9","type":"journal-article","created":{"date-parts":[[2021,8,18]],"date-time":"2021-08-18T11:04:38Z","timestamp":1629284678000},"page":"3998-4031","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":74,"title":["A hybrid OBL-based firefly algorithm with symbiotic organisms search algorithm for solving continuous optimization problems"],"prefix":"10.1007","volume":"78","author":[{"given":"Mina Javanmard","family":"Goldanloo","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1588-1659","authenticated-orcid":false,"given":"Farhad Soleimanian","family":"Gharehchopogh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,8,18]]},"reference":[{"key":"4015_CR1","first-page":"1","volume":"1","author":"FS Gharehchopogh","year":"2021","unstructured":"Gharehchopogh FS, Maleki I, Dizaji ZA (2021) Chaotic vortex search algorithm: metaheuristic algorithm for feature selection. Evol Intel 1:1\u201332","journal-title":"Evol Intel"},{"key":"4015_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-021-03304-5","author":"FS Gharehchopogh","year":"2021","unstructured":"Gharehchopogh FS, Abdollahzadeh B (2021) An efficient harris hawk optimization algorithm for solving the travelling salesman problem. Cluster Comput. https:\/\/doi.org\/10.1007\/s10586-021-03304-5","journal-title":"Cluster Comput"},{"key":"4015_CR3","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"},{"issue":"1","key":"4015_CR4","doi-asserted-by":"crossref","first-page":"728","DOI":"10.1016\/j.asoc.2018.07.033","volume":"71","author":"H Shayanfar","year":"2018","unstructured":"Shayanfar H, Gharehchopogh FS (2018) Farmland fertility: a new metaheuristic algorithm for solving continuous optimization problems. Appl Soft Comput 71(1):728\u2013746","journal-title":"Appl Soft Comput"},{"issue":"3","key":"4015_CR5","doi-asserted-by":"crossref","first-page":"2265","DOI":"10.1007\/s10462-019-09733-4","volume":"53","author":"FS Gharehchopogh","year":"2020","unstructured":"Gharehchopogh FS, Shayanfar H, Gholizadeh H (2020) A comprehensive survey on symbiotic organisms search algorithms. Artif Intell Rev 53(3):2265\u20132312","journal-title":"Artif Intell Rev"},{"key":"4015_CR6","doi-asserted-by":"crossref","first-page":"105583","DOI":"10.1016\/j.asoc.2019.105583","volume":"85","author":"H Zamani","year":"2019","unstructured":"Zamani H, Nadimi-Shahraki MH, Gandomi AH (2019) CCSA: conscious neighborhood-based crow search algorithm for solving global optimization problems. Appl Soft Comput 85:105583","journal-title":"Appl Soft Comput"},{"key":"4015_CR7","doi-asserted-by":"crossref","first-page":"107408","DOI":"10.1016\/j.cie.2021.107408","volume":"1","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh B, Gharehchopogh FS, Mirjalili S (2021) African vultures optimization algorithm: a new nature-inspired metaheuristic algorithm for global optimization problems. Comput Indust Eng 1:107408","journal-title":"Comput Indust Eng"},{"key":"4015_CR8","doi-asserted-by":"publisher","first-page":"106937","DOI":"10.1016\/j.knosys.2021.106937","volume":"220","author":"Z Cheng","year":"2021","unstructured":"Cheng Z et al (2021) Hybrid firefly algorithm with grouping attraction for constrained optimization problem. Knowledge-Based Syst 220:106937. https:\/\/doi.org\/10.1016\/j.knosys.2021.106937","journal-title":"Knowledge-Based Syst"},{"key":"4015_CR9","doi-asserted-by":"crossref","first-page":"107517","DOI":"10.1016\/j.asoc.2021.107517","volume":"109","author":"R Nand","year":"2021","unstructured":"Nand R, Sharma BN, Chaudhary K (2021) Stepping ahead firefly algorithm and hybridization with evolution strategy for global optimization problems. Appl Soft Comput 109:107517","journal-title":"Appl Soft Comput"},{"key":"4015_CR10","doi-asserted-by":"crossref","first-page":"113917","DOI":"10.1016\/j.eswa.2020.113917","volume":"166","author":"MH Nadimi-Shahraki","year":"2021","unstructured":"Nadimi-Shahraki MH, Taghian S, Mirjalili S (2021) An improved grey wolf optimizer for solving engineering problems. Expert Syst with Appl 166:113917","journal-title":"Expert Syst with Appl"},{"key":"4015_CR11","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":"4015_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-021-09624-4","author":"S Ghafori","year":"2021","unstructured":"Ghafori S, Gharehchopogh FS (2021) Advances in spotted hyena optimizer: a comprehensive survey. Archiv Comput Methods Eng. https:\/\/doi.org\/10.1007\/s11831-021-09624-4","journal-title":"Archiv Comput Methods Eng"},{"key":"4015_CR13","doi-asserted-by":"crossref","first-page":"104314","DOI":"10.1016\/j.engappai.2021.104314","volume":"104","author":"H Zamani","year":"2021","unstructured":"Zamani H, Nadimi-Shahraki MH, Gandomi AH (2021) QANA: Quantum-based avian navigation optimizer algorithm. Eng Appl Artif Intell 104:104314","journal-title":"Eng Appl Artif Intell"},{"key":"4015_CR14","doi-asserted-by":"publisher","DOI":"10.1002\/int.22535","author":"B Abdollahzadeh","year":"2021","unstructured":"Abdollahzadeh B, Soleimanian Gharehchopogh F, Mirjalili S (2021) Artificial gorilla troops optimizer: a new nature-inspired metaheuristic algorithm for global optimization problems. Int J Intell Syst. https:\/\/doi.org\/10.1002\/int.22535","journal-title":"Int J Intell Syst"},{"issue":"2","key":"4015_CR15","doi-asserted-by":"crossref","first-page":"309","DOI":"10.3233\/IDA-194485","volume":"24","author":"M Abedi","year":"2020","unstructured":"Abedi M, Gharehchopogh FS (2020) An improved opposition based learning firefly algorithm with dragonfly algorithm for solving continuous optimization problems. Intell Data Analy 24(2):309\u2013338","journal-title":"Intell Data Analy"},{"key":"4015_CR16","doi-asserted-by":"crossref","first-page":"107328","DOI":"10.1016\/j.asoc.2021.107328","volume":"106","author":"M Banaie-Dezfouli","year":"2021","unstructured":"Banaie-Dezfouli M, Nadimi-Shahraki MH, Beheshti Z (2021) R-GWO: Representative-based grey wolf optimizer for solving engineering problems. Appl Soft Comput 106:107328","journal-title":"Appl Soft Comput"},{"key":"4015_CR17","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1007\/978-1-84882-983-1_15","volume-title":"Research and development in intelligent systems XXVI","author":"X-S Yang","year":"2010","unstructured":"Yang X-S (2010) Firefly algorithm, Levy flights and global optimization. Research and development in intelligent systems XXVI. Springer, pp 209\u2013218"},{"key":"4015_CR18","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.compstruc.2014.03.007","volume":"139","author":"M-Y Cheng","year":"2014","unstructured":"Cheng M-Y, Prayogo D (2014) Symbiotic organisms search: a new metaheuristic optimization algorithm. Comput Struct 139:98\u2013112","journal-title":"Comput Struct"},{"issue":"9","key":"4015_CR19","first-page":"0163230","volume":"11","author":"L Zhang","year":"2016","unstructured":"Zhang L et al (2016) A novel hybrid firefly algorithm for global optimization. PLoS ONE 11(9):0163230","journal-title":"PLoS ONE"},{"issue":"2","key":"4015_CR20","first-page":"21","volume":"8","author":"S Sarbazfard","year":"2017","unstructured":"Sarbazfard S, Jafarian A (2017) A hybrid algorithm based on firefly algorithm and differential evolution for global optimization. J Adv Comput Res 8(2):21\u201338","journal-title":"J Adv Comput Res"},{"key":"4015_CR21","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1016\/j.compstruc.2017.06.016","volume":"195","author":"QX Lieu","year":"2018","unstructured":"Lieu QX, Do DT, Lee J (2018) An adaptive hybrid evolutionary firefly algorithm for shape and size optimization of truss structures with frequency constraints. Comput Struct 195:99\u2013112","journal-title":"Comput Struct"},{"issue":"12","key":"4015_CR22","first-page":"97","volume":"8","author":"SM Farahani","year":"2012","unstructured":"Farahani SM et al (2012) Some hybrid models to improve firefly algorithm performance. Int J Artificial Intell 8(12):97\u2013117","journal-title":"Int J Artificial Intell"},{"issue":"3","key":"4015_CR23","first-page":"37","volume":"16","author":"S Farook","year":"2013","unstructured":"Farook S, Raju PS (2013) Evolutionary hybrid genetic-firefly algorithm for global optimization. IJCEM Int J Comput Eng Manag 16(3):37\u201345","journal-title":"IJCEM Int J Comput Eng Manag"},{"key":"4015_CR24","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.ins.2014.06.002","volume":"283","author":"A Rahmani","year":"2014","unstructured":"Rahmani A, MirHassani S (2014) A hybrid firefly-genetic algorithm for the capacitated facility location problem. Inf Sci 283:70\u201378","journal-title":"Inf Sci"},{"issue":"1","key":"4015_CR25","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.asoc.2015.06.056","volume":"36","author":"A Baykaso\u011flu","year":"2015","unstructured":"Baykaso\u011flu A, Ozsoydan FB (2015) Adaptive firefly algorithm with chaos for mechanical design optimization problems. Appl Soft Comput 36(1):152\u2013164","journal-title":"Appl Soft Comput"},{"issue":"1","key":"4015_CR26","doi-asserted-by":"crossref","first-page":"488","DOI":"10.1016\/j.jocs.2017.07.009","volume":"26","author":"X Xia","year":"2018","unstructured":"Xia X et al (2018) A hybrid optimizer based on firefly algorithm and particle swarm optimization algorithm. J comput sci 26(1):488\u2013500","journal-title":"J comput sci"},{"key":"4015_CR27","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1007\/978-3-319-23036-8_2","volume-title":"Intelligent Systems Technologies and Applications","author":"S Gupta","year":"2016","unstructured":"Gupta S, Arora S (2016) A hybrid firefly algorithm and social spider algorithm for multimodal function. Intelligent Systems Technologies and Applications. Springer, pp 17\u201330"},{"key":"4015_CR28","doi-asserted-by":"crossref","unstructured":"Hassanzadeh T. and Meybodi MR (2012) A new hybrid algorithm based on Firefly Algorithm and cellular learning automata. in 20th Iranian Conference on Electrical Engineering (ICEE2012).","DOI":"10.1109\/IranianCEE.2012.6292431"},{"issue":"9","key":"4015_CR29","doi-asserted-by":"crossref","first-page":"1676","DOI":"10.3844\/ajassp.2014.1676.1691","volume":"11","author":"MK Alsmadi","year":"2014","unstructured":"Alsmadi MK (2014) A hybrid firefly algorithm with fuzzy-C mean algorithm for MRI brain segmentation. Am J Appl Sci 11(9):1676\u20131691","journal-title":"Am J Appl Sci"},{"issue":"18","key":"4015_CR30","doi-asserted-by":"crossref","first-page":"14701","DOI":"10.1007\/s00521-020-04823-9","volume":"32","author":"H Mohammed","year":"2020","unstructured":"Mohammed H, Rashid T (2020) A novel hybrid GWO with WOA for global numerical optimization and solving pressure vessel design. Neural Comput Appl 32(18):14701\u201314718","journal-title":"Neural Comput Appl"},{"issue":"20","key":"4015_CR31","doi-asserted-by":"crossref","first-page":"10129","DOI":"10.1007\/s00500-018-3570-6","volume":"23","author":"S Torabi","year":"2019","unstructured":"Torabi S, Safi-Esfahani F (2019) A hybrid algorithm based on chicken swarm and improved raven roosting optimization. Soft Comput 23(20):10129\u201310171","journal-title":"Soft Comput"},{"issue":"6","key":"4015_CR32","first-page":"372","volume":"2","author":"I Maleki","year":"2014","unstructured":"Maleki I, Ebrahimi L, Gharehchopogh FS (2014) A hybrid approach of firefly and genetic algorithms in software cost estimation. MAGNT Res Report 2(6):372\u2013388","journal-title":"MAGNT Res Report"},{"key":"4015_CR33","first-page":"1","volume":"1","author":"H Mohmmadzadeh","year":"2021","unstructured":"Mohmmadzadeh H, Gharehchopogh FS (2021) An efficient binary chaotic symbiotic organisms search algorithm approaches for feature selection problems. The J Supercomput 1:1\u201343","journal-title":"The J Supercomput"},{"issue":"01","key":"4015_CR34","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1142\/S0219622020500546","volume":"20","author":"H Mohammadzadeh","year":"2021","unstructured":"Mohammadzadeh H, Gharehchopogh FS (2021) Feature selection with binary symbiotic organisms search algorithm for email spam detection. Int J Inf Technol Decis Mak 20(01):469\u2013515","journal-title":"Int J Inf Technol Decis Mak"},{"key":"4015_CR35","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-021-03183-z","author":"S Nama","year":"2021","unstructured":"Nama S, Saha AK, Sharma S (2021) Performance up-gradation of symbiotic organisms search by backtracking search algorithm. J Ambient Intell Humanized Comput. https:\/\/doi.org\/10.1007\/s12652-021-03183-z","journal-title":"J Ambient Intell Humanized Comput"},{"issue":"8","key":"4015_CR36","doi-asserted-by":"crossref","first-page":"12035","DOI":"10.1007\/s11042-020-10053-x","volume":"80","author":"S Sharma","year":"2021","unstructured":"Sharma S et al (2021) MPBOA-A novel hybrid butterfly optimization algorithm with symbiosis organisms search for global optimization and image segmentation. Multimedia Tools and Appl 80(8):12035\u201312076","journal-title":"Multimedia Tools and Appl"},{"key":"4015_CR37","doi-asserted-by":"crossref","unstructured":"Tizhoosh HR (2005) Opposition-based learning: a new scheme for machine intelligence. In International conference on computational intelligence for modelling, control and automation and international conference on intelligent agents, web technologies and internet commerce (CIMCA-IAWTIC'06), IEEE, Vol. 1, pp. 695\u2013701","DOI":"10.1109\/CIMCA.2005.1631345"},{"issue":"1","key":"4015_CR38","doi-asserted-by":"crossref","first-page":"113122","DOI":"10.1016\/j.eswa.2019.113122","volume":"145","author":"M Tubishat","year":"2020","unstructured":"Tubishat M et al (2020) Improved salp swarm algorithm based on opposition based learning and novel local search algorithm for feature selection. Expert Syst with Appl 145(1):113122","journal-title":"Expert Syst with Appl"},{"issue":"1","key":"4015_CR39","doi-asserted-by":"crossref","first-page":"113389","DOI":"10.1016\/j.eswa.2020.113389","volume":"151","author":"S Dhargupta","year":"2020","unstructured":"Dhargupta S et al (2020) Selective opposition based grey wolf optimization. Expert Syst Appl 151(1):113389","journal-title":"Expert Syst Appl"},{"key":"4015_CR40","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1007\/978-981-15-0214-9_52","volume-title":"Intelligent Computing Techniques for Smart Energy Systems","author":"P Jain","year":"2020","unstructured":"Jain P, Jain P, Saxena A (2020) Opposition theory enabled intelligent whale optimization algorithm. Intelligent Computing Techniques for Smart Energy Systems. Springer, pp 485\u2013493"},{"issue":"7","key":"4015_CR41","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1007\/s00607-015-0456-7","volume":"97","author":"S Yu","year":"2015","unstructured":"Yu S et al (2015) Enhancing firefly algorithm using generalized opposition-based learning. Computing 97(7):741\u2013754","journal-title":"Computing"},{"key":"4015_CR42","doi-asserted-by":"crossref","first-page":"294","DOI":"10.1016\/j.neucom.2015.01.110","volume":"188","author":"Y Zhou","year":"2016","unstructured":"Zhou Y, Wang R, Luo Q (2016) Elite opposition-based flower pollination algorithm. Neurocomputing 188:294\u2013310","journal-title":"Neurocomputing"},{"issue":"1","key":"4015_CR43","doi-asserted-by":"crossref","first-page":"307","DOI":"10.1016\/j.jocs.2017.02.008","volume":"21","author":"TK Sharma","year":"2017","unstructured":"Sharma TK, Pant M (2017) Opposition based learning ingrained shuffled frog-leaping algorithm. J Comput Sci 21(1):307\u2013315","journal-title":"J Comput Sci"},{"issue":"1","key":"4015_CR44","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1016\/j.engappai.2017.09.020","volume":"67","author":"R Sarkhel","year":"2018","unstructured":"Sarkhel R et al (2018) An improved harmony search algorithm embedded with a novel piecewise opposition based learning algorithm. Eng Appl Artif Intell 67(1):317\u2013330","journal-title":"Eng Appl Artif Intell"},{"issue":"3","key":"4015_CR45","doi-asserted-by":"crossref","first-page":"423","DOI":"10.1016\/j.asej.2016.02.003","volume":"9","author":"SMA Bulbul","year":"2016","unstructured":"Bulbul SMA et al (2016) Opposition-based krill herd algorithm applied to economic load dispatch problem. Ain Shams Eng J 9(3):423\u2013440","journal-title":"Ain Shams Eng J"},{"key":"4015_CR46","doi-asserted-by":"crossref","first-page":"484","DOI":"10.1016\/j.eswa.2017.07.043","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 90:484\u2013500","journal-title":"Expert Syst Appl"},{"issue":"1","key":"4015_CR47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.engappai.2013.12.004","volume":"29","author":"Q Xu","year":"2014","unstructured":"Xu Q et al (2014) A review of opposition-based learning from 2005 to 2012. Eng Appl Artif Intell 29(1):1\u201312","journal-title":"Eng Appl Artif Intell"},{"issue":"2","key":"4015_CR48","doi-asserted-by":"crossref","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","journal-title":"SIMULATION"},{"key":"4015_CR49","unstructured":"Karaboga D (2005) An idea based on honey bee swarm for numerical optimization, Technical report-tr06, Erciyes university, engineering faculty, computer engineering department."},{"issue":"2","key":"4015_CR50","first-page":"150","volume":"4","author":"M Jamil","year":"2013","unstructured":"Jamil M, Yang X-S (2013) A literature survey of benchmark functions for global optimisation problems. Int J Math Modell Num Optimisat 4(2):150\u2013194","journal-title":"Int J Math Modell Num Optimisat"},{"issue":"1","key":"4015_CR51","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1016\/j.jocs.2017.06.003","volume":"23","author":"X Qi","year":"2017","unstructured":"Qi X, Zhu Y, Zhang H (2017) A new meta-heuristic butterfly-inspired algorithm. J Comput Sci 23(1):226\u2013239","journal-title":"J Comput Sci"},{"key":"4015_CR52","volume-title":"Evolutionary intelligence: an introduction to theory and applications with Matlab","author":"S Sumathi","year":"2008","unstructured":"Sumathi S, Hamsapriya T, Surekha P (2008) Evolutionary intelligence: an introduction to theory and applications with Matlab. Springer, Newyork"},{"issue":"1","key":"4015_CR53","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/4235.985692","volume":"6","author":"M Clerc","year":"2002","unstructured":"Clerc M, Kennedy J (2002) The particle swarm-explosion, stability, and convergence in a multidimensional complex space. IEEE Trans Evol Comput 6(1):58\u201373","journal-title":"IEEE Trans Evol Comput"},{"issue":"3","key":"4015_CR54","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1109\/TEVC.2004.826069","volume":"8","author":"F Van den Bergh","year":"2004","unstructured":"Van den Bergh F, Engelbrecht AP (2004) A cooperative approach to particle swarm optimization. IEEE Trans Evol Comput 8(3):225\u2013239","journal-title":"IEEE Trans Evol Comput"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-021-04015-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-021-04015-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-021-04015-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,2,7]],"date-time":"2022-02-07T13:24:24Z","timestamp":1644240264000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-021-04015-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,8,18]]},"references-count":54,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,2]]}},"alternative-id":["4015"],"URL":"https:\/\/doi.org\/10.1007\/s11227-021-04015-9","relation":{},"ISSN":["0920-8542","1573-0484"],"issn-type":[{"value":"0920-8542","type":"print"},{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,8,18]]},"assertion":[{"value":"5 August 2021","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 August 2021","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}