{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T09:01:56Z","timestamp":1773824516504,"version":"3.50.1"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T00:00:00Z","timestamp":1595894400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T00:00:00Z","timestamp":1595894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/100000147","name":"Division of Civil, Mechanical and Manufacturing Innovation","doi-asserted-by":"publisher","award":["1829238"],"award-info":[{"award-number":["1829238"]}],"id":[{"id":"10.13039\/100000147","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001459","name":"Singapore Ministry of Education","doi-asserted-by":"crossref","award":["R-266-000-114"],"award-info":[{"award-number":["R-266-000-114"]}],"id":[{"id":"10.13039\/501100001459","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Glob Optim"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1007\/s10898-020-00937-5","type":"journal-article","created":{"date-parts":[[2020,7,28]],"date-time":"2020-07-28T02:02:45Z","timestamp":1595901765000},"page":"87-110","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["Stochastic optimization with adaptive restart: a framework for integrated local and global learning"],"prefix":"10.1007","volume":"79","author":[{"given":"Logan","family":"Mathesen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6726-9790","authenticated-orcid":false,"given":"Giulia","family":"Pedrielli","sequence":"additional","affiliation":[]},{"given":"Szu Hui","family":"Ng","sequence":"additional","affiliation":[]},{"given":"Zelda B.","family":"Zabinsky","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,7,28]]},"reference":[{"issue":"2","key":"937_CR1","doi-asserted-by":"publisher","first-page":"371","DOI":"10.1287\/opre.1090.0754","volume":"58","author":"B Ankenman","year":"2010","unstructured":"Ankenman, B., Nelson, B.L., Staum, J.: Stochastic Kriging for simulation metamodeling. Oper. Res. 58(2), 371\u2013382 (2010)","journal-title":"Oper. Res."},{"key":"937_CR2","first-page":"635","volume":"31","author":"A Atkinson","year":"1992","unstructured":"Atkinson, A.: A segmented algorithm for simulated annealing. Stat. Comput. 31, 635\u2013672 (1992)","journal-title":"Stat. Comput."},{"issue":"3","key":"937_CR3","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/BF02592015","volume":"38","author":"B Betr\u00f2","year":"1987","unstructured":"Betr\u00f2, B., Schoen, F.: Sequential stopping rules for the multistart algorithm in global optimisation. Math. Prog. 38(3), 271\u2013286 (1987)","journal-title":"Math. Prog."},{"issue":"6\u20137","key":"937_CR4","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/0898-1221(91)90167-3","volume":"21","author":"B Betr\u00f2","year":"1991","unstructured":"Betr\u00f2, B., Schoen, F.: A stochastic technique for global optimization. Comput. Math. Appl. 21(6\u20137), 127\u2013133 (1991)","journal-title":"Comput. Math. Appl."},{"issue":"1\u20133","key":"937_CR5","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1007\/BF01581094","volume":"57","author":"B Betr\u00f2","year":"1992","unstructured":"Betr\u00f2, B., Schoen, F.: Optimal and sub-optimal stopping rules for the multistart algorithm in global optimization. Math. Prog. 57(1\u20133), 445\u2013458 (1992)","journal-title":"Math. Prog."},{"issue":"12","key":"937_CR6","doi-asserted-by":"publisher","first-page":"2038","DOI":"10.1080\/0305215X.2017.1419344","volume":"50","author":"MA Bouhlel","year":"2018","unstructured":"Bouhlel, M.A., Bartoli, N., Regis, R.G., Otsmane, A., Morlier, J.: Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method. Eng. Optim. 50(12), 2038\u20132053 (2018)","journal-title":"Eng. Optim."},{"issue":"1","key":"937_CR7","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/s10732-018-9386-9","volume":"25","author":"N Bouhmala","year":"2019","unstructured":"Bouhmala, N.: Combining simulated annealing with local search heuristic for max-sat. J. Heur. 25(1), 47\u201369 (2019)","journal-title":"J. Heur."},{"issue":"3","key":"937_CR8","doi-asserted-by":"publisher","first-page":"479","DOI":"10.1023\/A:1022677121193","volume":"102","author":"J Calvin","year":"1999","unstructured":"Calvin, J., \u017dilinskas, A.: On the convergence of the p-algorithm for one-dimensional global optimization of smooth functions. J. Optim. Theory Appl. 102(3), 479\u2013495 (1999)","journal-title":"J. Optim. Theory Appl."},{"issue":"2","key":"937_CR9","doi-asserted-by":"publisher","first-page":"230","DOI":"10.1287\/ijoc.1120.0498","volume":"25","author":"KH Chang","year":"2013","unstructured":"Chang, K.H., Hong, L.J., Wan, H.: Stochastic trust-region response-surface method (STRONG): a new response-surface framework for simulation optimization. INFORMS J. Comput. 25(2), 230\u2013243 (2013)","journal-title":"INFORMS J. Comput."},{"key":"937_CR10","doi-asserted-by":"publisher","DOI":"10.1142\/7437","volume-title":"Stochastic Simulation Optimization: An Optimal Computing Budget Allocation","author":"CH Chen","year":"2010","unstructured":"Chen, C.H.: Stochastic Simulation Optimization: An Optimal Computing Budget Allocation, vol. 1. World Scientific, Singapore (2010)"},{"key":"937_CR11","doi-asserted-by":"publisher","DOI":"10.1137\/1.9780898719857","volume-title":"Trust Region Methods","author":"AR Conn","year":"2000","unstructured":"Conn, A.R., Gould, N.I., Toint, P.L.: Trust Region Methods. SIAM, Philadelphia (2000)"},{"issue":"438","key":"937_CR12","first-page":"548","volume":"92","author":"B Efron","year":"1997","unstructured":"Efron, B., Tibshirani, R.: Improvements on cross-validation: the 632+ bootstrap method. J. Am. Stat. Assoc. 92(438), 548\u2013560 (1997)","journal-title":"J. Am. Stat. Assoc."},{"key":"937_CR13","volume-title":"Handbook of Simulation Optimization","author":"MC Fu","year":"2015","unstructured":"Fu, M.C.: Handbook of Simulation Optimization, vol. 216. Springer, Berlin (2015)"},{"key":"937_CR14","unstructured":"Glidewell, M., Ng, K., Hensel, E.: A combinatorial optimization approach as a pre-processor for impedance tomography. In: Proceedings of the Annual Conference of the IEEE\/Engineering in Medicine and Biology Society (1991)"},{"issue":"1","key":"937_CR15","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1137\/S1052623494277317","volume":"9","author":"WE Hart","year":"1998","unstructured":"Hart, W.E.: Sequential stopping rules for random optimization methods with applications to multistart local search. SIAM J. Optim. 9(1), 270\u2013290 (1998)","journal-title":"SIAM J. Optim."},{"key":"937_CR16","unstructured":"Hu, X., Shonkwiler, R., Spruill, M.: Random restarts in global optimization. Technical represent, Georgia Institute of Technology (1994)"},{"issue":"4","key":"937_CR17","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1023\/A:1008306431147","volume":"13","author":"DR Jones","year":"1998","unstructured":"Jones, D.R., Schonlau, M., Welch, W.J.: Efficient global optimization of expensive black-box functions. J. Global Optim. 13(4), 455\u2013492 (1998)","journal-title":"J. Global Optim."},{"issue":"5","key":"937_CR18","doi-asserted-by":"publisher","first-page":"1139","DOI":"10.1111\/itor.12190","volume":"24","author":"T Krityakierne","year":"2017","unstructured":"Krityakierne, T., Shoemaker, C.A.: SOMS: surrogate multistart algorithm for use with nonlinear programming for global optimization. Int. Trans. Oper. Res. 24(5), 1139\u20131172 (2017)","journal-title":"Int. Trans. Oper. Res."},{"issue":"2","key":"937_CR19","first-page":"622","volume":"197","author":"IE Lagaris","year":"2008","unstructured":"Lagaris, I.E., Tsoulos, I.G.: Stopping rules for box-constrained stochastic global optimization. Appl. Math. Comput. 197(2), 622\u2013632 (2008)","journal-title":"Appl. Math. Comput."},{"key":"937_CR20","unstructured":"Li, H., Lim, A.: A meta-heruistic for the pickup and delivery problem with time windows. In: Proceedings of the 13th IEEE International Conference on Tools with Artificial Intelligence, pp 160\u2013167 (2001)"},{"issue":"1","key":"937_CR21","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1023\/A:1008294716304","volume":"10","author":"M Locatelli","year":"1997","unstructured":"Locatelli, M.: Bayesian algorithms for one-dimensional global optimization. J. Global Optim. 10(1), 57\u201376 (1997)","journal-title":"J. Global Optim."},{"issue":"2","key":"937_CR22","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1023\/A:1021956306041","volume":"25","author":"M Locatelli","year":"2003","unstructured":"Locatelli, M.: A note on the Griewank test function. J. Global Optim. 25(2), 169\u2013174 (2003)","journal-title":"J. Global Optim."},{"issue":"1","key":"937_CR23","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1007\/s10479-015-2014-2","volume":"240","author":"M Locatelli","year":"2016","unstructured":"Locatelli, M., Schoen, F.: Global optimization based on local searches. Ann. Oper. Res. 240(1), 251\u2013270 (2016)","journal-title":"Ann. Oper. Res."},{"issue":"4","key":"937_CR24","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1016\/0020-0190(93)90029-9","volume":"47","author":"M Luby","year":"1993","unstructured":"Luby, M., Sinclair, A., Zuckerman, D.: Optimal speedup of Las Vegas algorithms. Inf. Process. Lett. 47(4), 173\u2013180 (1993)","journal-title":"Inf. Process. Lett."},{"issue":"23","key":"937_CR25","doi-asserted-by":"publisher","first-page":"2251","DOI":"10.1016\/j.compstruc.2004.03.072","volume":"82","author":"MA Luersen","year":"2004","unstructured":"Luersen, M.A., Le Riche, R.: Globalized nelder-mead method for engineering optimization. Comput. Struct. 82(23), 2251\u20132260 (2004)","journal-title":"Comput. Struct."},{"issue":"1","key":"937_CR26","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1061\/(ASCE)0733-9496(2005)131:1(45)","volume":"131","author":"G Mahinthakumar","year":"2005","unstructured":"Mahinthakumar, G., Sayeed, M.: Hybrid genetic algorithm\u2013local search methods for solving groundwater source identification inverse problems. J. Water Resour. Plan. Manag. 131(1), 45\u201357 (2005)","journal-title":"J. Water Resour. Plan. Manag."},{"key":"937_CR27","doi-asserted-by":"crossref","unstructured":"Mart\u00ed, R., Lozano, J.A., Mendiburu, A., Hernando, L.: Multi-start methods. Handbook of Heuristics pp 1\u201321 (2016)","DOI":"10.1007\/978-3-319-07153-4_1-1"},{"issue":"1","key":"937_CR28","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/BF02601639","volume":"63","author":"OC Martin","year":"1996","unstructured":"Martin, O.C., Otto, S.W.: Combining simulated annealing with local search heuristics. Ann. Oper. Res. 63(1), 57\u201375 (1996)","journal-title":"Ann. Oper. Res."},{"key":"937_CR29","doi-asserted-by":"publisher","unstructured":"Mathesen, L., Pedrielli, G., Ng, S.H.: Trust region based stochastic optimization with adaptive restart: a family of global optimization algorithms. In: 2017 Winter Simulation Conference (WSC), pp 2104\u20132115 (2017). https:\/\/doi.org\/10.1109\/WSC.2017.8247943","DOI":"10.1109\/WSC.2017.8247943"},{"issue":"4","key":"937_CR30","doi-asserted-by":"publisher","first-page":"689","DOI":"10.1287\/ijoc.2018.0864","volume":"31","author":"J M\u00fcller","year":"2019","unstructured":"M\u00fcller, J., Day, M.: Surrogate optimization of computationally expensive black-box problems with hidden constraints. INFORMS J. Comput. 31(4), 689\u2013702 (2019)","journal-title":"INFORMS J. Comput."},{"key":"937_CR31","unstructured":"Murphy, M., Baker, E.: GLO: Global local optimizer. LLNL unclassified code 960007 (1995)"},{"issue":"2","key":"937_CR32","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1007\/s00453-007-9134-2","volume":"54","author":"F Neumann","year":"2009","unstructured":"Neumann, F., Witt, C.: Runtime analysis of a simple ant colony optimization algorithm. Algorithmica 54(2), 243 (2009)","journal-title":"Algorithmica"},{"key":"937_CR33","unstructured":"Nocedal, J., Wright, S.J.: Trust-region methods. Numerical Optimization, pp 66\u2013100 (2006)"},{"issue":"3","key":"937_CR34","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1007\/s10208-013-9150-3","volume":"15","author":"B O\u2019Donoghue","year":"2015","unstructured":"O\u2019Donoghue, B., Cand\u00e8s, E.: Adaptive restart for accelerated gradient schemes. Found. Comput. Math. 15(3), 715\u2013732 (2015)","journal-title":"Found. Comput. Math."},{"issue":"2","key":"937_CR35","doi-asserted-by":"publisher","first-page":"595","DOI":"10.1007\/s00158-017-1779-0","volume":"57","author":"M Ohsaki","year":"2018","unstructured":"Ohsaki, M., Yamakawa, M.: Stopping rule of multi-start local search for structural optimization. Struct. Multidiscip. Optim. 57(2), 595\u2013603 (2018)","journal-title":"Struct. Multidiscip. Optim."},{"issue":"1","key":"937_CR36","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1016\/S0377-0427(98)00022-3","volume":"91","author":"M Okamoto","year":"1998","unstructured":"Okamoto, M., Nonaka, T., Ochiai, S., Tominaga, D.: Nonlinear numerical optimization with use of a hybrid genetic algorithm incorporating the modified Powell method. Appl. Math. Comput. 91(1), 63\u201372 (1998)","journal-title":"Appl. Math. Comput."},{"key":"937_CR37","volume-title":"Handbook of Global Optimization","author":"PM Pardalos","year":"2013","unstructured":"Pardalos, P.M., Romeijn, H.E.: Handbook of Global Optimization, vol. 2. Springer, Berlin (2013)"},{"issue":"1","key":"937_CR38","first-page":"393","volume":"3","author":"D Peri","year":"2012","unstructured":"Peri, D., Tinti, F.: A multistart gradient-based algorithm with surrogate model for global optimization. Commun. Appl. Ind. Math. 3(1), 393 (2012)","journal-title":"Commun. Appl. Ind. Math."},{"issue":"4","key":"937_CR39","doi-asserted-by":"publisher","first-page":"366","DOI":"10.1198\/TECH.2011.09141","volume":"53","author":"P Ranjan","year":"2011","unstructured":"Ranjan, P., Haynes, R., Karsten, R.: A computationally stable approach to Gaussian process interpolation of deterministic computer simulation data. Technometrics 53(4), 366\u2013378 (2011)","journal-title":"Technometrics"},{"issue":"1","key":"937_CR40","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/s10898-006-9040-1","volume":"37","author":"RG Regis","year":"2007","unstructured":"Regis, R.G., Shoemaker, C.A.: Improved strategies for radial basis function methods for global optimization. J. Global Optim. 37(1), 113\u2013135 (2007)","journal-title":"J. Global Optim."},{"issue":"2","key":"937_CR41","doi-asserted-by":"publisher","first-page":"514","DOI":"10.1016\/j.ejor.2006.08.040","volume":"182","author":"RG Regis","year":"2007","unstructured":"Regis, R.G., Shoemaker, C.A.: Parallel radial basis function methods for the global optimization of expensive functions. Eur. J. Oper. Res. 182(2), 514\u2013535 (2007)","journal-title":"Eur. J. Oper. Res."},{"issue":"3","key":"937_CR42","doi-asserted-by":"publisher","first-page":"411","DOI":"10.1287\/ijoc.1090.0325","volume":"21","author":"RG Regis","year":"2009","unstructured":"Regis, R.G., Shoemaker, C.A.: Parallel stochastic global optimization using radial basis functions. INFORMS J. Comput. 21(3), 411\u2013426 (2009)","journal-title":"INFORMS J. Comput."},{"issue":"4","key":"937_CR43","doi-asserted-by":"publisher","first-page":"1719","DOI":"10.1007\/s10898-012-9940-1","volume":"56","author":"RG Regis","year":"2013","unstructured":"Regis, R.G., Shoemaker, C.A.: A quasi-multistart framework for global optimization of expensive functions using response surface models. J. Global Optim. 56(4), 1719\u20131753 (2013)","journal-title":"J. Global Optim."},{"key":"937_CR44","volume-title":"The Design and Analysis of Computer Experiments","author":"TJ Santner","year":"2013","unstructured":"Santner, T.J., Williams, B.J., Notz, W.I.: The Design and Analysis of Computer Experiments. Springer, Berlin (2013)"},{"issue":"3","key":"937_CR45","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1007\/BF00119932","volume":"1","author":"F Schoen","year":"1991","unstructured":"Schoen, F.: Stochastic techniques for global optimization: a survey of recent advances. J. Global Optim. 1(3), 207\u2013228 (1991)","journal-title":"J. Global Optim."},{"key":"937_CR46","doi-asserted-by":"crossref","unstructured":"Schoen, F.: Two-phase methods for global optimization. In: Handbook of Global Optimization. Springer, pp 151\u2013177 (2002)","DOI":"10.1007\/978-1-4757-5362-2_5"},{"key":"937_CR47","first-page":"151","volume-title":"Handbook of Global Optimization","author":"F Schoen","year":"2015","unstructured":"Schoen, F.: Two-phase methods for global optimization. In: Pardalos, P., Romeijn, H. (eds.) Handbook of Global Optimization, vol. 2, pp. 151\u2013177. Kluwer Academic Publishers, Dordrecht (2015)"},{"key":"937_CR48","unstructured":"Shang, Y., Wan, Y., Fromherz, M.P., Crawford, L.S.: Toward adaptive cooperation between global and local solvers for continuous constraint problems. In: Proceedings of the CP\u201901 Workshop on Cooperative Solvers in Constraint Programming (2001)"},{"key":"937_CR49","volume-title":"Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control","author":"JC Spall","year":"2005","unstructured":"Spall, J.C.: Introduction to Stochastic Search and Optimization: Estimation, Simulation, and Control, vol. 65. Wiley, New York (2005)"},{"key":"937_CR50","doi-asserted-by":"crossref","unstructured":"Spall, J.C.: Stochastic optimization. In: Handbook of Computational Statistics. Springer, pp 173\u2013201 (2012)","DOI":"10.1007\/978-3-642-21551-3_7"},{"key":"937_CR51","unstructured":"Theodosopoulos, T.: Some remarks on the optimal level of randomization in global optimization. (2004) arXiv preprint arXiv:math\/0406095"},{"issue":"3","key":"937_CR52","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1590\/S1679-78252011000300008","volume":"8","author":"AJ Torii","year":"2011","unstructured":"Torii, A.J., Lopez, R.H., Luersen, M.A.: A local-restart coupled strategy for simultaneous sizing and geometry truss optimization. Latin Am. J. Solids Struct. 8(3), 335\u2013349 (2011)","journal-title":"Latin Am. J. Solids Struct."},{"key":"937_CR53","volume-title":"Handbook of Knowledge Representation","author":"F Van Harmelen","year":"2008","unstructured":"Van Harmelen, F., Lifschitz, V., Porter, B.: Handbook of Knowledge Representation, vol. 1. Elsevier, London (2008)"},{"issue":"5","key":"937_CR54","doi-asserted-by":"publisher","first-page":"1413","DOI":"10.1007\/s11222-016-9696-4","volume":"27","author":"A Vehtari","year":"2017","unstructured":"Vehtari, A., Gelman, A., Gabry, J.: Practical Bayesian model evaluation using leave-one-out cross-validation and waic. Stat. Comput. 27(5), 1413\u20131432 (2017)","journal-title":"Stat. Comput."},{"issue":"1","key":"937_CR55","first-page":"216","volume":"213","author":"C Voglis","year":"2009","unstructured":"Voglis, C., Lagaris, I.E.: Towards ideal multistart: a stochastic approach for locating the minima of a continuous function inside a bounded domain. Appl. Math. Comput. 213(1), 216\u2013229 (2009)","journal-title":"Appl. Math. Comput."},{"key":"937_CR56","volume-title":"Nature-Inspired Optimization Algorithms","author":"XS Yang","year":"2014","unstructured":"Yang, X.S.: Nature-Inspired Optimization Algorithms. Elsevier, London (2014)"},{"key":"937_CR57","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-9182-9","volume-title":"Stochastic Adaptive Search for Global Optimization","author":"ZB Zabinsky","year":"2003","unstructured":"Zabinsky, Z.B.: Stochastic Adaptive Search for Global Optimization. Kluwer Academic Publishers, Berlin (2003)"},{"key":"937_CR58","doi-asserted-by":"crossref","unstructured":"Zabinsky, Z.B.: Stochastic search methods for global optimization. In: Wiley Encyclopedia of Operations Research and Management Science. Wiley (2011)","DOI":"10.1002\/9780470400531.eorms1009"},{"issue":"2","key":"937_CR59","doi-asserted-by":"publisher","first-page":"273","DOI":"10.1007\/s10898-009-9425-z","volume":"46","author":"ZB Zabinsky","year":"2010","unstructured":"Zabinsky, Z.B., Bulger, D., Khompatraporn, C.: Stopping and restarting strategy for stochastic sequential search in global optimization. J. Global Optim. 46(2), 273\u2013286 (2010)","journal-title":"J. Global Optim."},{"key":"937_CR60","unstructured":"Zafar, A., Ghafoor, U., Yaqub, M.A., Hong, K.: Determination of the parameters in the designed hemodynamic response function using Nelder-Mead algorithm. In: 2018 18th International Conference on Control, Automation and Systems (ICCAS), pp 1135\u20131140 (2018)"}],"container-title":["Journal of Global Optimization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10898-020-00937-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10898-020-00937-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10898-020-00937-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,27]],"date-time":"2021-07-27T23:10:48Z","timestamp":1627427448000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10898-020-00937-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,28]]},"references-count":60,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["937"],"URL":"https:\/\/doi.org\/10.1007\/s10898-020-00937-5","relation":{},"ISSN":["0925-5001","1573-2916"],"issn-type":[{"value":"0925-5001","type":"print"},{"value":"1573-2916","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,28]]},"assertion":[{"value":"21 January 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 July 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}