{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T09:13:34Z","timestamp":1787994814080,"version":"build-2784847793"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2014,4,8]],"date-time":"2014-04-08T00:00:00Z","timestamp":1396915200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Glob Optim"],"published-print":{"date-parts":[[2014,10]]},"DOI":"10.1007\/s10898-014-0184-0","type":"journal-article","created":{"date-parts":[[2014,4,7]],"date-time":"2014-04-07T04:53:37Z","timestamp":1396846417000},"page":"123-144","source":"Crossref","is-referenced-by-count":145,"title":["Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for\u00a0computationally expensive black-box global optimization problems"],"prefix":"10.1007","volume":"60","author":[{"given":"Juliane","family":"M\u00fcller","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Christine A.","family":"Shoemaker","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2014,4,8]]},"reference":[{"key":"184_CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4613-1997-9","volume-title":"A connectionist machine for genetic hillclimbing","author":"DH Ackley","year":"1987","unstructured":"Ackley, D.H.: A connectionist machine for genetic hillclimbing. Kluwer, Boston (1987)"},{"key":"184_CR2","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1016\/j.renene.2008.11.001","volume":"34","author":"I Argatov","year":"2009","unstructured":"Argatov, I., Rautakorpi, P., Silvennoinen, R.: Estimation of the mechanical energy output of the kite wind generator. Renew. Energy 34, 1525\u20131532 (2009)","journal-title":"Renew. Energy"},{"key":"184_CR3","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1007\/s10898-007-9234-1","volume":"41","author":"C Audet","year":"2008","unstructured":"Audet, C., B\u00e9chard, V., Le Digabel, S.: Nonsmooth optimization through mesh adaptive direct search and variable neighborhood search. J. Glob. Optim. 41, 299\u2013318 (2008)","journal-title":"J. Glob. Optim."},{"key":"184_CR4","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1023\/A:1011584207202","volume":"1","author":"M Bj\u00f6rkman","year":"2001","unstructured":"Bj\u00f6rkman, M., Holmstr\u00f6m, K.: Global optimization of costly nonconvex functions using radial basis functions. Optim. Eng. 1, 373\u2013397 (2001)","journal-title":"Optim. Eng."},{"key":"184_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/BF01197708","volume":"17","author":"AJ Booker","year":"1999","unstructured":"Booker, A.J., Dennis Jr, J.E., Frank, P.D., Serafini, D.B., Torczon, V., Trosset, M.W.: A rigorous framework for optimization of expensive functions by surrogates. Struct. Multidiscip. Optim. 17, 1\u201313 (1999)","journal-title":"Struct. Multidiscip. Optim."},{"key":"184_CR6","unstructured":"Breukels, J.: An engineering methodology for kite design. Ph.D. thesis, Delft University of Technology (2011)"},{"key":"184_CR7","doi-asserted-by":"crossref","DOI":"10.1137\/1.9780898718768","volume-title":"Introduction to Derivative-Free Optimization","author":"AR Conn","year":"2009","unstructured":"Conn, A.R., Scheinberg, K., Vicente, L.N.: Introduction to Derivative-Free Optimization. SIAM, Philadelphia (2009)"},{"key":"184_CR8","unstructured":"De Jong, K.A.: An Analysis of the Behavior of a Class of Genetic Adaptive Systems. Ph.D. thesis, University of Michigan (1975)"},{"key":"184_CR9","unstructured":"Dixon, L.C.W., Szeg\u00f6, G. P. (eds.): The global optimization problem: an introduction. In: Towards Global Optimization, vol. 2. North-Holland, Amsterdam (1978)"},{"key":"184_CR10","doi-asserted-by":"crossref","first-page":"4442","DOI":"10.1002\/wrcr.20326","volume":"49","author":"AJ Espinet","year":"2013","unstructured":"Espinet, A.J., Shoemaker, C.A.: Estimation of plume distribution for carbon sequestration using parameter estimation, optimization and monitoring data. Water Resour. Res. 49, 4442\u20134464 (2013)","journal-title":"Water Resour. Res."},{"key":"184_CR11","unstructured":"Fagiano, L.: Control of tethered airfoils for high-altitude wind energy generation. Ph.D. thesis, Politecnico di Torino (2009)"},{"key":"184_CR12","doi-asserted-by":"crossref","DOI":"10.1002\/9780470770801","volume-title":"Engineering Design Via Surrogate Modelling\u2014a Practical Guide","author":"A Forrester","year":"2008","unstructured":"Forrester, A., S\u00f3bester, A., Keane, A.: Engineering Design Via Surrogate Modelling\u2014a Practical Guide. Wiley, New York (2008)"},{"key":"184_CR13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1214\/aos\/1176347963","volume":"19","author":"JH Friedman","year":"1991","unstructured":"Friedman, J.H.: Multivariate adaptive regression splines. Ann. Stat. 19, 1\u201367 (1991)","journal-title":"Ann. Stat."},{"key":"184_CR14","doi-asserted-by":"crossref","first-page":"341","DOI":"10.1007\/s00158-007-0137-z","volume":"35","author":"B Glaz","year":"2008","unstructured":"Glaz, B., Friedmann, P.P., Liu, L.: Surrogate based optimization of helicopter rotor blades for vibration reduction in forward flight. Struct. Multidiscip. Optim. 35, 341\u2013363 (2008)","journal-title":"Struct. Multidiscip. Optim."},{"key":"184_CR15","doi-asserted-by":"crossref","first-page":"199","DOI":"10.1007\/s00158-006-0051-9","volume":"33","author":"T Goel","year":"2007","unstructured":"Goel, T., Haftka, R.T., Shyy, W., Queipo, N.V.: Ensemble of surrogates. Struct. Multidiscip. Optim. 33, 199\u2013216 (2007)","journal-title":"Struct. Multidiscip. Optim."},{"key":"184_CR16","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1023\/A:1011255519438","volume":"19","author":"H-M Gutmann","year":"2001","unstructured":"Gutmann, H.-M.: A radial basis function method for global optimization. J. Glob. Optim. 19, 201\u2013227 (2001)","journal-title":"J. Glob. Optim."},{"key":"184_CR17","doi-asserted-by":"crossref","first-page":"447","DOI":"10.1007\/s10898-007-9256-8","volume":"41","author":"K Holmstr\u00f6m","year":"2008","unstructured":"Holmstr\u00f6m, K., Quttineh, N.-H., Edvall, M.M.: An adaptive radial basis algorithm (ARBF) for expensive black-box mixed-integer constrained global optimization. J. Glob. Optim. 41, 447\u2013464 (2008)","journal-title":"J. Glob. Optim."},{"key":"184_CR18","unstructured":"Houska, B.: Robustness and stability optimization of open-loop controlled power generating kites. Master\u2019s thesis, Ruprecht-Karls-Universit\u00e4t Heidelberg, Fakult\u00e4t f\u00fcr Mathematik und Informatik (2007)"},{"key":"184_CR19","unstructured":"Jekabsons, G.: ARESLab: adaptive regression splines toolbox for Matlab. Available at http:\/\/www.cs.rtu.lv\/jekabsons\/ (2010)"},{"key":"184_CR20","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1023\/A:1012771025575","volume":"21","author":"DR Jones","year":"2001","unstructured":"Jones, D.R.: A taxonomy of global optimization methods based on response surfaces. J. Glob. Optim. 21, 345\u2013383 (2001)","journal-title":"J. Glob. Optim."},{"key":"184_CR21","doi-asserted-by":"crossref","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. Glob. Optim. 13, 455\u2013492 (1998)","journal-title":"J. Glob. Optim."},{"key":"184_CR22","doi-asserted-by":"crossref","first-page":"520","DOI":"10.1016\/j.compfluid.2006.04.001","volume":"36","author":"J-C Jouhaud","year":"2007","unstructured":"Jouhaud, J.-C., Sagaut, P., Montagnac, M., Laurenceau, J.: A surrogate-model based multidisciplinary shape optimization method with application to a 2D subsonic airfoil. Comput. Fluids 36, 520\u2013529 (2007)","journal-title":"Comput. Fluids"},{"key":"184_CR23","author":"XB Lam","year":"2009","unstructured":"Lam, X.B., Kim, Y.S., Hoang, A.D., Park, C.W.: Coupled aerostructural design optimization using the kriging model and integrated multiobjective optimization algorithm. J. Optim. Theory Appl. (2009). doi: 10.1007\/s10957-009-9520-9","journal-title":"J. Optim. Theory Appl."},{"key":"184_CR24","doi-asserted-by":"crossref","unstructured":"Le Digabel, S.: Algorithm 909: nomad: nonlinear optimization with the MADS algorithm. ACM Trans. Math. Softw. 37:44:1\u201344:15 (2011)","DOI":"10.1145\/1916461.1916468"},{"key":"184_CR25","volume-title":"Topics in Global Optimization","author":"A Levy","year":"1981","unstructured":"Levy, A., Montalvo, A., Gomez, S., Galderon, A.: Topics in Global Optimization. Springer, New York (1981)"},{"key":"184_CR26","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1007\/s00170-009-2302-6","volume":"48","author":"C Li","year":"2010","unstructured":"Li, C., Wang, F.-L., Chang, Y.-Q., Liu, Y.: A modified global optimization method based on surrogate model and its application in packing profile optimization of injection molding process. Int. J. Adv. Manuf. Technol. 48, 505\u2013511 (2010)","journal-title":"Int. J. Adv. Manuf. Technol."},{"key":"184_CR27","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1007\/s00158-007-0163-x","volume":"35","author":"X Liao","year":"2008","unstructured":"Liao, X., Li, Q., Yang, X., Zhang, W., Li, W.: Multiobjective optimization for crash safety design of vehicles using stepwise regression model. Struct. Multidiscip. Optim. 35, 561\u2013569 (2008)","journal-title":"Struct. Multidiscip. Optim."},{"key":"184_CR28","unstructured":"Lophaven, S.N., Nielsen, H.B., S\u00f8ndergaard, J.: DACE a Matlab kriging toolbox. Technical report, IMM-TR-2002-12 (2002)"},{"key":"184_CR29","doi-asserted-by":"crossref","first-page":"853","DOI":"10.2514\/1.8650","volume":"43","author":"JD Martin","year":"2005","unstructured":"Martin, J.D., Simpson, T.W.: Use of kriging models to approximate deterministic computer models. AIAA J. 43, 853\u2013863 (2005)","journal-title":"AIAA J."},{"key":"184_CR30","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.2113\/gsecongeo.58.8.1246","volume":"58","author":"G Matheron","year":"1963","unstructured":"Matheron, G.: Principles of geostatistics. Econ. Geol. 58, 1246\u20131266 (1963)","journal-title":"Econ. Geol."},{"key":"184_CR31","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-02830-8","volume-title":"Genetic Algorithms + Data Structures = Evolution Programs","author":"Z Michalewicz","year":"1992","unstructured":"Michalewicz, Z.: Genetic Algorithms + Data Structures = Evolution Programs. Springer, Berlin (1992)"},{"key":"184_CR32","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1137\/080724083","volume":"20","author":"JJ Mor\u00e9","year":"2009","unstructured":"Mor\u00e9, J.J., Wild, S.M.: Benchmarking derivative-free optimization algorithms. SIAM J. Optim. 20, 172\u2013191 (2009)","journal-title":"SIAM J. Optim."},{"key":"184_CR33","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1016\/S0167-8191(05)80052-3","volume":"17","author":"H M\u00fchlenbein","year":"1991","unstructured":"M\u00fchlenbein, H., Schomisch, D., Born, J.: The parallel genetic algorithm as function optimizer. Parallel Comput. 17, 619\u2013632 (1991)","journal-title":"Parallel Comput."},{"key":"184_CR34","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s10898-010-9620-y","volume":"51","author":"J M\u00fcller","year":"2011","unstructured":"M\u00fcller, J., Pich\u00e9, R.: Mixture surrogate models based on Dempster\u2013Shafer theory for global optimization problems. J. Glob. Optim. 51, 79\u2013104 (2011)","journal-title":"J. Glob. Optim."},{"key":"184_CR35","volume-title":"Response Surface Methodology, Process and Product Optimization Using Designed Experiments","author":"RH Myers","year":"1995","unstructured":"Myers, R.H., Montgomery, D.C.: Response Surface Methodology, Process and Product Optimization Using Designed Experiments. Wiley-Interscience Publication, New York (1995)"},{"key":"184_CR36","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1093\/comjnl\/7.2.155","volume":"7","author":"MJD Powell","year":"1964","unstructured":"Powell, M.J.D.: An efficient method for finding the minimum of a function of several variables without calculating derivatives. Comput. J. 7, 155\u2013162 (1964)","journal-title":"Comput. J."},{"key":"184_CR37","doi-asserted-by":"crossref","unstructured":"Powell, M.J.D.: The theory of radial basis function approximation in 1990. In: Light, W.A. (ed.) Advances in Numerical Analysis, vol. 2: Wavelets, Subdivision Algorithms and Radial Basis Functions. pp. 105\u2013210, Oxford University Press, Oxford (1992)","DOI":"10.1093\/oso\/9780198534396.003.0003"},{"key":"184_CR38","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.paerosci.2005.02.001","volume":"41","author":"NV Queipo","year":"2005","unstructured":"Queipo, N.V., Haftka, R.T., Shyy, W., Goel, T., Vaidyanathan, R., Tucker, P.K.: Surrogate-based analysis and optimization. Prog. Aerosp. Sci. 41, 1\u201328 (2005)","journal-title":"Prog. Aerosp. Sci."},{"key":"184_CR39","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/s10898-004-0570-0","volume":"31","author":"RG Regis","year":"2005","unstructured":"Regis, R.G., Shoemaker, C.A.: Constrained global optimization of expensive black-box functions using radial basis functions. J. Glob. Optim. 31, 153\u2013171 (2005)","journal-title":"J. Glob. Optim."},{"key":"184_CR40","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1287\/ijoc.1060.0182","volume":"19","author":"RG Regis","year":"2007","unstructured":"Regis, R.G., Shoemaker, C.A.: A stochastic radial basis function method for the global optimization of expensive functions. INFORMS J. Comput. 19, 497\u2013509 (2007)","journal-title":"INFORMS J. Comput."},{"key":"184_CR41","doi-asserted-by":"crossref","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. Glob. Optim. 37, 113\u2013135 (2007)","journal-title":"J. Glob. Optim."},{"key":"184_CR42","doi-asserted-by":"crossref","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, 514\u2013535 (2007)","journal-title":"Eur. J. Oper. Res."},{"key":"184_CR43","doi-asserted-by":"crossref","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, 411\u2013426 (2009)","journal-title":"INFORMS J. Comput."},{"key":"184_CR44","doi-asserted-by":"crossref","unstructured":"Regis, R.G., Shoemaker, C.A.: A quasi-multistart framework for global optimization of expensive functions using response surface models. J. Glob. Optim. (2012). doi: 10.1007\/s10898-012-9940-1","DOI":"10.1007\/s10898-012-9940-1"},{"key":"184_CR45","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1080\/0305215X.2012.687731","volume":"45","author":"RG Regis","year":"2013","unstructured":"Regis, R.G., Shoemaker, C.A.: Combining radial basis function surrogates and dynamic coordinate search in high-dimensional expensive black-box optimization. Eng. Optim. 45, 529\u2013555 (2013)","journal-title":"Eng. Optim."},{"key":"184_CR46","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1007\/BF01096734","volume":"3","author":"F Schoen","year":"1993","unstructured":"Schoen, F.: A wide class of test functions for global optimization. J. Glob. Optim. 3, 133\u2013137 (1993)","journal-title":"J. Glob. Optim."},{"key":"184_CR47","doi-asserted-by":"crossref","first-page":"W01413","DOI":"10.1029\/2005WR004723","volume":"43","author":"BA Tolson","year":"2007","unstructured":"Tolson, B.A., Shoemaker, C.A.: Dynamically dimensioned search algorithm for computationally efficient watershed model calibration. Water Res. Res. 43, W01413 (2007)","journal-title":"Water Res. Res."},{"key":"184_CR48","doi-asserted-by":"crossref","unstructured":"T\u00f6rn, A., Zilinskas, A.: Global Optimization. In: Lecture Notes in Computer Science, vol. 350. Springer, Berlin (1989)","DOI":"10.1007\/3-540-50871-6"},{"key":"184_CR49","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s10898-007-9133-5","volume":"39","author":"AIF Vaz","year":"2007","unstructured":"Vaz, A.I.F., Vicente, L.N.: A particle swarm pattern search method for bound constrained global optimization. J. Glob. Optim. 39, 197\u2013219 (2007)","journal-title":"J. Glob. Optim."},{"key":"184_CR50","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1007\/s10898-012-9892-5","volume":"56","author":"FAC Viana","year":"2013","unstructured":"Viana, F.A.C., Haftka, R.T., Watson, L.T.: Efficient global optimization algorithm assisted by multiple surrogate techniques. J. Glob. Optim. 56, 669\u2013689 (2013)","journal-title":"J. Glob. Optim."},{"key":"184_CR51","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1115\/1.1906264","volume":"127","author":"RJ Yang","year":"2005","unstructured":"Yang, R.J., Wang, N., Tho, C.H., Bobineau, J.P., Wang, B.P.: Metamodeling development for vehicle frontal impact simulation. J. Mech. Des. 127, 1014\u20131021 (2005)","journal-title":"J. Mech. Des."},{"key":"184_CR52","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1061\/(ASCE)0733-9496(1999)125:1(54)","volume":"125","author":"J-H Yoon","year":"1999","unstructured":"Yoon, J.-H., Shoemaker, C.A.: Comparison of optimization methods for groundwater bioremediation. J. Water Resour. Plan. Manag. 125, 54\u201363 (1999)","journal-title":"J. Water Resour. Plan. Manag."}],"container-title":["Journal of Global Optimization"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10898-014-0184-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10898-014-0184-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10898-014-0184-0","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,25]],"date-time":"2024-05-25T14:39:52Z","timestamp":1716647992000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10898-014-0184-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,4,8]]},"references-count":52,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2014,10]]}},"alternative-id":["184"],"URL":"https:\/\/doi.org\/10.1007\/s10898-014-0184-0","relation":{},"ISSN":["0925-5001","1573-2916"],"issn-type":[{"value":"0925-5001","type":"print"},{"value":"1573-2916","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014,4,8]]}}}