{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T05:36:18Z","timestamp":1772861778916,"version":"3.50.1"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T00:00:00Z","timestamp":1701907200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T00:00:00Z","timestamp":1701907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"UIC","award":["R201810"],"award-info":[{"award-number":["R201810"]}]},{"name":"UIC","award":["R201912"],"award-info":[{"award-number":["R201912"]}]},{"name":"UIC","award":["R202010"],"award-info":[{"award-number":["R202010"]}]},{"name":"UIC","award":["UICR0400046-21CTL"],"award-info":[{"award-number":["UICR0400046-21CTL"]}]},{"name":"UIC","award":["2022B1212010006"],"award-info":[{"award-number":["2022B1212010006"]}]},{"name":"UIC","award":["UIC R0400001-22"],"award-info":[{"award-number":["UIC R0400001-22"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Comp. Appl. Math."],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1007\/s40314-023-02519-z","type":"journal-article","created":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T15:02:22Z","timestamp":1701961342000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A sequential designing-modeling technique when the input factors are not equally important"],"prefix":"10.1007","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6116-4779","authenticated-orcid":false,"given":"A. M.","family":"Elsawah","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi-An","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihan","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fatih","family":"Tank","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,12,7]]},"reference":[{"issue":"1","key":"2519_CR1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/S0965-9978(00)00070-3","volume":"32","author":"J Andre","year":"2000","unstructured":"Andre J, Siarry P, Dognon T (2000) An improvement of the standard genetic algorithm fighting premature convergence. Adv Eng Softw 32(1):49\u201360","journal-title":"Adv Eng Softw"},{"issue":"46","key":"2519_CR2","doi-asserted-by":"publisher","first-page":"1160","DOI":"10.1016\/j.neucom.2008.02.002","volume":"72","author":"PP Balestrassi","year":"2009","unstructured":"Balestrassi PP, Popova E, Paiva AD, Lima JM (2009) Design of experiments on neural network\u2019s training for nonlinear time series forecasting. Neurocomputing 72(46):1160\u20131178","journal-title":"Neurocomputing"},{"issue":"2","key":"2519_CR3","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1002\/aic.690430217","volume":"43","author":"UM Diwekar","year":"1997","unstructured":"Diwekar UM, Kalagnanam JR (1997) Efficient sampling technique for optimization under uncertainty. AIChE J 43(2):440\u2013447","journal-title":"AIChE J"},{"key":"2519_CR4","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2017a) A closer look at de-aliasing effects using an efficient foldover technique. Statistics 51(3):532\u2013557","DOI":"10.1080\/02331888.2016.1240682"},{"key":"2519_CR5","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2017b) A powerful and efficient algorithm for breaking the links between aliased effects in asymmetric designs. Aust N Z J Stat 59(1):17\u201341","DOI":"10.1111\/anzs.12181"},{"key":"2519_CR6","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2021a) Multiple doubling: a simple effective construction technique for optimal two-level experimental designs. Stat Pap 62:2923\u20132967","DOI":"10.1007\/s00362-020-01221-0"},{"key":"2519_CR7","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2021b) An appealing technique for designing optimal large experiments with three-level factors. J Comput Appl Math 384:113164","DOI":"10.1016\/j.cam.2020.113164"},{"key":"2519_CR8","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2022a) A novel non-heuristic search technique for constructing uniform designs with a mixture of two- and four-level factors: a simple industrial applicable approach. J Korean Stat Soc 51:716\u2013757","DOI":"10.1007\/s42952-021-00159-9"},{"key":"2519_CR9","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2022b) Designing optimal large four-level experiments: a new technique without recourse to optimization softwares. Commun Math Stat 10:623\u2013652","DOI":"10.1007\/s40304-021-00241-y"},{"key":"2519_CR10","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2022c) Improving the space-filling behavior of multiple triple designs. Comput Appl Math 41:180","DOI":"10.1007\/s40314-022-01874-7"},{"key":"2519_CR11","doi-asserted-by":"crossref","unstructured":"Elsawah AM (2022d) Novel techniques for performing follow-up experiments based on prior information from initial-stage experiments. Statistics 56(5):1133\u20131165","DOI":"10.1080\/02331888.2022.2133122"},{"key":"2519_CR12","doi-asserted-by":"publisher","unstructured":"Elsawah AM (2023a) A novel hybrid algorithm for designing mixed three- and nine-level experiments without modeling assumptions. Commun Stat Simul Comput. https:\/\/doi.org\/10.1080\/03610918.2023.2269323","DOI":"10.1080\/03610918.2023.2269323"},{"key":"2519_CR13","doi-asserted-by":"publisher","unstructured":"Elsawah AM (2023b) A novel doubling-tripling-threshold accepting hybrid algorithm for constructing asymmetric space-filling designs. J Korean Stat Soc. https:\/\/doi.org\/10.1007\/s42952-023-00232-5","DOI":"10.1007\/s42952-023-00232-5"},{"key":"2519_CR14","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1007\/s42952-023-00215-6","volume":"52","author":"AM Elsawah","year":"2023","unstructured":"Elsawah AM, Gong Y (2023) A new non-iterative deterministic algorithm for constructing asymptotically orthogonal maximin distance Latin hypercube designs. J Korean Stat Soc 52:621\u2013646","journal-title":"J Korean Stat Soc"},{"key":"2519_CR15","doi-asserted-by":"publisher","first-page":"323","DOI":"10.1007\/s40314-022-02025-8","volume":"41","author":"AM Elsawah","year":"2022","unstructured":"Elsawah AM, Vishwakarma GK (2022) A systematic construction approach for nonregular fractional factorial four-level designs via quaternary linear codes. Comput Appl Math 41:323","journal-title":"Comput Appl Math"},{"key":"2519_CR16","volume-title":"Design and modeling for computer experiments","author":"KT Fang","year":"2006","unstructured":"Fang KT, Li RZ, Sudjianto A (2006) Design and modeling for computer experiments. Chapman and Hall\/CRC, New York"},{"key":"2519_CR17","volume-title":"The design of experiments","author":"RA Fisher","year":"1935","unstructured":"Fisher RA (1935) The design of experiments. Oliver and Boyd, Edinburgh"},{"issue":"7","key":"2519_CR18","doi-asserted-by":"publisher","first-page":"819","DOI":"10.1002\/jctb.1254","volume":"80","author":"YS Goksungur","year":"2005","unstructured":"Goksungur YS, Dagbagli AU, Guvenc U (2005) Optimisation of pullulan production from synthetic medium by aureobsidium pullulans in a stirred tank reactor by response surface methodology. J Chem Technol Biotechnol 80(7):819\u2013827","journal-title":"J Chem Technol Biotechnol"},{"issue":"3","key":"2519_CR19","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1111\/j.1749-6632.1960.tb42846.x","volume":"86","author":"JM Hammersley","year":"1960","unstructured":"Hammersley JM (1960) Monte Carlo methods for solving multivariate problems. Ann N Y Acad Sci 86(3):844\u2013874","journal-title":"Ann N Y Acad Sci"},{"issue":"4","key":"2519_CR20","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1007\/s11081-010-9129-8","volume":"12","author":"BGM Husslage","year":"2011","unstructured":"Husslage BGM, Rennen G, van Dam ER, Hertog D (2011) Space-filling Latin hypercube designs for computer experiments. Optim Eng 12(4):611\u2013630","journal-title":"Optim Eng"},{"key":"2519_CR21","doi-asserted-by":"publisher","first-page":"1749","DOI":"10.1080\/03610928008827996","volume":"17","author":"RL Iman","year":"1980","unstructured":"Iman RL, Conover WJ (1980) Small sample sensitivity analysis techniques for computer models, with an application to risk assessment. Commun Stat Theory Methods 17:1749\u20131842","journal-title":"Commun Stat Theory Methods"},{"key":"2519_CR22","doi-asserted-by":"crossref","unstructured":"Iordanis I, Koukouvinos C, Silou I (2022) Classification accuracy improvement using conditioned Latin hypercube sampling in supervised machine learning. In: 12th international conference on dependable systems, services and technologies (DESSERT), Athens, Greece","DOI":"10.1109\/DESSERT58054.2022.10018677"},{"key":"2519_CR23","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1016\/j.eswa.2018.05.024","volume":"109","author":"GA Lujan-Moreno","year":"2018","unstructured":"Lujan-Moreno GA, Howard PR, Rojas OG, Montgomery DC (2018) Design of experiments and response surface methodology to tune machine learning hyperparameters, with a random forest case-study. Expert Syst Appl 109:195\u2013205","journal-title":"Expert Syst Appl"},{"key":"2519_CR24","volume-title":"The mathematical mechanic: using physical reasoning to solve problems","author":"L Mark","year":"2009","unstructured":"Mark L (2009) The mathematical mechanic: using physical reasoning to solve problems. Princeton University Press, Princeton"},{"issue":"2","key":"2519_CR25","first-page":"239","volume":"21","author":"MD Mckay","year":"1979","unstructured":"Mckay MD, Beckman RJ, Conover WJ (1979) A comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics 21(2):239\u2013245","journal-title":"Technometrics"},{"key":"2519_CR26","doi-asserted-by":"publisher","first-page":"106881","DOI":"10.1016\/j.engfailanal.2022.106881","volume":"143","author":"HS Mohamed","year":"2023","unstructured":"Mohamed HS, Elsawah AM, Shao YB, Wu CS, Bakri M (2023) Analysis on the shear failure of HSS S690-CWGs via mathematical modelling. Eng Fail Anal 143:106881","journal-title":"Eng Fail Anal"},{"key":"2519_CR27","doi-asserted-by":"publisher","unstructured":"Ortiz-Rodriguez JM, Martinez-Blanco MR, Vega-Carrillo HR (2006) Robust design of artificial neural networks applying the Taguchi methodology and DoE. In: Electronics, robotics and automotive mechanics conference (CERMA\u201906), pp 131\u2013136. https:\/\/doi.org\/10.1109\/CERMA.2006.83","DOI":"10.1109\/CERMA.2006.83"},{"key":"2519_CR28","first-page":"439","volume":"2","author":"AB Owen","year":"1992","unstructured":"Owen AB (1992) Orthogonal arrays for computer experiments, integration and visualization. Stat Sin 2:439\u2013452","journal-title":"Stat Sin"},{"issue":"6","key":"2519_CR29","doi-asserted-by":"publisher","first-page":"461","DOI":"10.1002\/1099-1638(200011\/12)16:6<461::AID-QRE341>3.0.CO;2-G","volume":"16","author":"MS Packianather","year":"2000","unstructured":"Packianather MS, Drake PR, Rowlands H (2000) Optimizing the parameters of multilayered feedforward neural networks through Taguchi design of experiments. Qual Reliab Eng Int 16(6):461\u2013473","journal-title":"Qual Reliab Eng Int"},{"key":"2519_CR30","first-page":"100163","volume":"5","author":"BB Prasath","year":"2021","unstructured":"Prasath BB, Elsawah AM, Liyuan Z, Poon K (2021) Modeling and optimization of the effect of abiotic stressors on the productivity of the biomass, chlorophyll and lutein in microalgae Chlorella pyrenoidosa. J Agric Food Res 5:100163","journal-title":"J Agric Food Res"},{"issue":"1","key":"2519_CR31","doi-asserted-by":"publisher","first-page":"101743","DOI":"10.1016\/j.jksus.2021.101743","volume":"34","author":"BB Prasath","year":"2022","unstructured":"Prasath BB, Zahir M, Elsawah AM, Raza M, Lecong C, Chutian S, Poon K (2022) Statistical approaches in modeling of the interaction between bacteria and diatom under a dual-species co-cultivation system. J King Saud Univ Sci 34(1):101743","journal-title":"J King Saud Univ Sci"},{"key":"2519_CR32","doi-asserted-by":"publisher","first-page":"527","DOI":"10.1198\/004017008000000541","volume":"50","author":"R Ranjan","year":"2008","unstructured":"Ranjan R, Bingham D, Michailidis G (2008) Sequential experiment design for contour estimation from complex computer codes. Technometrics 50:527\u2013541","journal-title":"Technometrics"},{"issue":"2","key":"2519_CR33","doi-asserted-by":"publisher","first-page":"570","DOI":"10.1080\/03610918.2019.1656740","volume":"51","author":"L Salmaso","year":"2022","unstructured":"Salmaso L, Pegoraro L, Giancristofaro RA, Ceccato R, Bianchi A, Restello S, Scarabottolo D (2022) Design of experiments and machine learning to improve robustness of predictive maintenance with application to a real case study. Commun Stat Simul Comput 51(2):570\u2013852","journal-title":"Commun Stat Simul Comput"},{"issue":"3","key":"2519_CR34","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1147\/rd.33.0210","volume":"3","author":"AL Samuel","year":"1959","unstructured":"Samuel AL (1959) Some studies in machine learning using the game of checkers. IBM J Res Dev 3(3):210\u2013229","journal-title":"IBM J Res Dev"},{"key":"2519_CR35","doi-asserted-by":"publisher","first-page":"119917","DOI":"10.1016\/j.applthermaleng.2022.119917","volume":"222","author":"A Sikirica","year":"2023","unstructured":"Sikirica A, Grbcic L, Kranjcevic L (2023) Machine learning based surrogate models for microchannel heat sink optimization. Appl Therm Eng 222:119917","journal-title":"Appl Therm Eng"},{"key":"2519_CR36","volume-title":"Parameter selection for support vector machines","author":"C Staelin","year":"2003","unstructured":"Staelin C (2003) Parameter selection for support vector machines. Hewlett-Packard Company, London"},{"issue":"4","key":"2519_CR37","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/s00521-005-0470-3","volume":"14","author":"W Sukthomya","year":"2005","unstructured":"Sukthomya W, Tannock J (2005) The optimisation of neural network parameters using Taguchi\u2019s design of experiments approach: an application in manufacturing process modelling. Neural Comput Appl 14(4):337\u2013344","journal-title":"Neural Comput Appl"},{"key":"2519_CR38","unstructured":"Viana FAC (2013) Things you wanted to know about the Latin hypercube design and were afraid to ask. In: 10th world congress on structural and multidisciplinary optimization"},{"key":"2519_CR39","doi-asserted-by":"publisher","first-page":"111738","DOI":"10.1109\/ACCESS.2022.3215155","volume":"10","author":"S Zhang","year":"2022","unstructured":"Zhang S, Feng G, Yuan F, Guo S (2022) Twin support vector regression model based on heteroscedastic Gaussian noise and its application. IEEE Access 10:111738\u2013111748","journal-title":"IEEE Access"}],"container-title":["Computational and Applied Mathematics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40314-023-02519-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s40314-023-02519-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s40314-023-02519-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,11]],"date-time":"2024-02-11T11:19:40Z","timestamp":1707650380000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s40314-023-02519-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,7]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2024,2]]}},"alternative-id":["2519"],"URL":"https:\/\/doi.org\/10.1007\/s40314-023-02519-z","relation":{},"ISSN":["2238-3603","1807-0302"],"issn-type":[{"value":"2238-3603","type":"print"},{"value":"1807-0302","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,7]]},"assertion":[{"value":"11 February 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 September 2023","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 November 2023","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 December 2023","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"There is no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"9"}}