{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:12:19Z","timestamp":1750306339334,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,7,20]],"date-time":"2016-07-20T00:00:00Z","timestamp":1468972800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"FAPEG"},{"name":"CAPES"},{"name":"CNPq"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,7,20]]},"DOI":"10.1145\/2908961.2931667","type":"proceedings-article","created":{"date-parts":[[2016,7,29]],"date-time":"2016-07-29T19:04:16Z","timestamp":1469819056000},"page":"1031-1034","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Variable Selection for Multivariate Calibration in Chemometrics"],"prefix":"10.1145","author":[{"given":"Lauro C.M.","family":"de Paula","sequence":"first","affiliation":[{"name":"Federal Unviersity of Goias, Goiania, Brazil"}]},{"given":"Anderson S.","family":"Soares","sequence":"additional","affiliation":[{"name":"Federal Unviersity of Goias, Goiania, Brazil"}]},{"given":"Telma W.","family":"de Lima","sequence":"additional","affiliation":[{"name":"Federal Unviersity of Goias, Goiania, Brazil"}]},{"given":"Arlindo R.G.","family":"Filho","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Goias, Goiania, Brazil"}]},{"given":"Clarimar J.","family":"Coelho","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Goias, Goiania, Brazil"}]}],"member":"320","published-online":{"date-parts":[[2016,7,20]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"The Problem of Multicollinearity In: Understanding Regression Analysis","author":"Allen M. P.","year":"2004","unstructured":"M. P. Allen . The Problem of Multicollinearity In: Understanding Regression Analysis . Springer Science and Business Media , 2004 . M. P. Allen. The Problem of Multicollinearity In: Understanding Regression Analysis. Springer Science and Business Media, 2004."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/cem.1339"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0169-7439(01)00119-8"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1177\/014920639301900411"},{"key":"e_1_3_2_1_5_1","volume-title":"A note on the disruption due to crossover in a binary-coded genetic algorithm","author":"Goldberg D. E.","year":"1987","unstructured":"D. E. Goldberg . A note on the disruption due to crossover in a binary-coded genetic algorithm . University of Alabama , 1987 . D. E. Goldberg. A note on the disruption due to crossover in a binary-coded genetic algorithm. University of Alabama, 1987."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3643-4","volume-title":"The design of innovation: Lessons from and for competent genetic algorithms","author":"Goldberg D. E.","year":"2002","unstructured":"D. E. Goldberg . The design of innovation: Lessons from and for competent genetic algorithms , volume 7 . Springer Science and Business Media , 2002 . D. E. Goldberg. The design of innovation: Lessons from and for competent genetic algorithms, volume 7. Springer Science and Business Media, 2002."},{"key":"e_1_3_2_1_7_1","volume-title":"Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence","author":"Holland J. H.","year":"1975","unstructured":"J. H. Holland . Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence . 1975 . J. H. Holland. Adaptation in natural and artificial systems: An introductory analysis with applications to biology, control, and artificial intelligence. 1975."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1969.10490666"},{"key":"e_1_3_2_1_9_1","volume-title":"Solving least squares problems","author":"Lawson C. L.","year":"1974","unstructured":"C. L. Lawson and R. J. Hanson . Solving least squares problems , volume 161 . SIAM , 1974 . C. L. Lawson and R. J. Hanson. Solving least squares problems, volume 161. SIAM, 1974."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/cem.651"},{"key":"e_1_3_2_1_11_1","volume-title":"Multivariate calibration","author":"Martens H.","year":"1991","unstructured":"H. Martens . Multivariate calibration . John Wiley and Sons , 1991 . H. Martens. Multivariate calibration. John Wiley and Sons, 1991."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/cem.2426"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7744275"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1007\/978-3-319-23485-4_27","volume-title":"Progress in Artificial Intelligence","author":"Paula L. C. M.","year":"2015","unstructured":"L. C. M. Paula and A. S. Soares . Multiobjective firefly algorithm for variable selection in multivariate calibration . In Progress in Artificial Intelligence , pages 274 -- 279 . Springer , 2015 . L. C. M. Paula and A. S. Soares. Multiobjective firefly algorithm for variable selection in multivariate calibration. In Progress in Artificial Intelligence, pages 274--279. Springer, 2015."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0114145"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011552313821"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1070\/RC2006v075n04ABEH003599"},{"key":"e_1_3_2_1_18_1","volume-title":"Principles of instrumental analysis","author":"Skoog D. A.","year":"1998","unstructured":"D. A. Skoog , F. J. Holler , and T. A. Nieman . Principles of instrumental analysis . 1998 . D. A. Skoog, F. J. Holler, and T. A. Nieman. Principles of instrumental analysis. 1998."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1049\/el.2013.3284"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2011.09.022"}],"event":{"name":"GECCO '16: Genetic and Evolutionary Computation Conference","sponsor":["SIGEVO ACM Special Interest Group on Genetic and Evolutionary Computation"],"location":"Denver Colorado USA","acronym":"GECCO '16"},"container-title":["Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2908961.2931667","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2908961.2931667","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:55:02Z","timestamp":1750222502000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2908961.2931667"}},"subtitle":["A Real-World Application with Building Blocks Disruption Problem"],"short-title":[],"issued":{"date-parts":[[2016,7,20]]},"references-count":20,"alternative-id":["10.1145\/2908961.2931667","10.1145\/2908961"],"URL":"https:\/\/doi.org\/10.1145\/2908961.2931667","relation":{},"subject":[],"published":{"date-parts":[[2016,7,20]]},"assertion":[{"value":"2016-07-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}