{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,7]],"date-time":"2024-07-07T23:43:11Z","timestamp":1720395791906},"reference-count":37,"publisher":"Elsevier BV","content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2014,1]]},"DOI":"10.1016\/j.neucom.2012.09.045","type":"journal-article","created":{"date-parts":[[2013,4,8]],"date-time":"2013-04-08T12:15:27Z","timestamp":1365423327000},"page":"40-48","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":23,"special_numbering":"C","title":["Towards an efficient genetic algorithm optimizer for sequential projection pursuit"],"prefix":"10.1016","volume":"123","author":[{"given":"Soledad","family":"Espezua","sequence":"first","affiliation":[]},{"given":"Edwin","family":"Villanueva","sequence":"additional","affiliation":[]},{"given":"Carlos D.","family":"Maciel","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"9","key":"10.1016\/j.neucom.2012.09.045_bib1","doi-asserted-by":"crossref","first-page":"881","DOI":"10.1109\/T-C.1974.224051","article-title":"A projection pursuit algorithm for exploratory data analysis","volume":"23","author":"Friedman","year":"1974","journal-title":"IEEE Trans. Comput."},{"issue":"397","key":"10.1016\/j.neucom.2012.09.045_bib2","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1080\/01621459.1987.10478427","article-title":"Exploratory projection pursuit","volume":"82","author":"Friedman","year":"1987","journal-title":"Am. Stat. Assoc."},{"issue":"2","key":"10.1016\/j.neucom.2012.09.045_bib3","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1016\/j.chemolab.2006.06.016","article-title":"Robust statistics in data analysis \u2013 a review","volume":"85","author":"Daszykowski","year":"2007","journal-title":"Chemometr. Intell. Lab. Syst."},{"issue":"4","key":"10.1016\/j.neucom.2012.09.045_bib4","doi-asserted-by":"crossref","first-page":"831","DOI":"10.1198\/106186005X77702","article-title":"Projection pursuit for exploratory supervised classification","volume":"14","author":"Lee","year":"2005","journal-title":"J. Comput. Graph. Stat."},{"issue":"2","key":"10.1016\/j.neucom.2012.09.045_bib5","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1002\/wics.23","article-title":"Projection pursuit","volume":"1","author":"Jee","year":"2009","journal-title":"Wiley Interdisciplinary Rev."},{"issue":"8","key":"10.1016\/j.neucom.2012.09.045_bib6","doi-asserted-by":"crossref","first-page":"1281","DOI":"10.1109\/TNN.2010.2051161","article-title":"Automatic induction of projection pursuit indices","volume":"21","author":"Rodriguez-Martinez","year":"2010","journal-title":"IEEE Trans. Neural Networks"},{"issue":"1\u20132, SI","key":"10.1016\/j.neucom.2012.09.045_bib7","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/s10472-010-9211-0","article-title":"Genetic algorithms and particle swarm optimization for exploratory projection pursuit","volume":"60","author":"Berro","year":"2010","journal-title":"Ann. Math. Artif. Intell."},{"issue":"456","key":"10.1016\/j.neucom.2012.09.045_bib8","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.1198\/016214501753382345","article-title":"Cluster identification using projections","volume":"96","author":"Pena","year":"2001","journal-title":"J. Am. Stat. Assoc."},{"issue":"1","key":"10.1016\/j.neucom.2012.09.045_bib9","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1198\/1061860031374","article-title":"Projection pursuit clustering for exploratory data analysis","volume":"12","author":"Bolton","year":"2003","journal-title":"J. Comput. Graph. Stat."},{"issue":"4","key":"10.1016\/j.neucom.2012.09.045_bib10","doi-asserted-by":"crossref","first-page":"1774","DOI":"10.1016\/j.neuroimage.2007.10.012","article-title":"A projection pursuit algorithm to classify individuals using fMRI data","volume":"39","author":"Demirci","year":"2008","journal-title":"Neuroimage"},{"issue":"1\u20132","key":"10.1016\/j.neucom.2012.09.045_bib11","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1016\/S0003-2670(01)01000-5","article-title":"Feature selection in sequential projection pursuit","volume":"446","author":"Guo","year":"2001","journal-title":"Anal. Chim. Acta"},{"issue":"1","key":"10.1016\/j.neucom.2012.09.045_bib12","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.aca.2007.02.058","article-title":"Prediction of ozone tropospheric degradation rate constants by projection pursuit regression","volume":"589","author":"Ren","year":"2007","journal-title":"Anal. Chim. Acta"},{"issue":"4","key":"10.1016\/j.neucom.2012.09.045_bib13","first-page":"1143","article-title":"An effective 2-dimensional projection pursuit algorithm","volume":"19","author":"Posse","year":"1990","journal-title":"Commun. Stat. Simulat. Comput."},{"key":"10.1016\/j.neucom.2012.09.045_bib14","doi-asserted-by":"crossref","first-page":"669","DOI":"10.1016\/0167-9473(95)00002-8","article-title":"Projection pursuit exploratory data analysis","volume":"20","author":"Posse","year":"1995","journal-title":"Comput. Stat. Data Anal."},{"issue":"2","key":"10.1016\/j.neucom.2012.09.045_bib15","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1080\/10618600.1995.10474668","article-title":"Tools for two-dimensional exploratory projection pursuit","volume":"4","author":"Posse","year":"1995","journal-title":"J. Comput. Graph. Stat."},{"key":"10.1016\/j.neucom.2012.09.045_bib16","first-page":"411","article-title":"Three-dimensional projection pursuit","volume":"44","author":"Nason","year":"1995","journal-title":"J. R. Stat. Soc. Ser. C"},{"issue":"2","key":"10.1016\/j.neucom.2012.09.045_bib17","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1214\/aos\/1176349519","article-title":"Projection pursuit","volume":"13","author":"Huber","year":"1985","journal-title":"Ann. Stat."},{"issue":"1","key":"10.1016\/j.neucom.2012.09.045_bib18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.2307\/2981662","article-title":"What is projection pursuit?","volume":"150","author":"Jones","year":"1987","journal-title":"J. R. Stat. Soc. Ser. A Gen."},{"issue":"13","key":"10.1016\/j.neucom.2012.09.045_bib19","doi-asserted-by":"crossref","first-page":"2846","DOI":"10.1021\/ac0000123","article-title":"Sequential projection pursuit using genetic algorithms for data mining of analytical data","volume":"72","author":"Guo","year":"2000","journal-title":"Anal. Chem."},{"issue":"1\u20132","key":"10.1016\/j.neucom.2012.09.045_bib20","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.chemolab.2004.09.014","article-title":"An improved optimization algorithm and Bayes factor termination criterion for sequential projection pursuit","volume":"77","author":"Webb-Robertson","year":"2005","journal-title":"Chemometr. Intell. Lab. Syst."},{"issue":"11","key":"10.1016\/j.neucom.2012.09.045_bib21","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/0895-7177(93)90204-C","article-title":"Simulated annealing","volume":"18","author":"Ingber","year":"1993","journal-title":"Math. Comput. Modell."},{"key":"10.1016\/j.neucom.2012.09.045_bib22","series-title":"Swarm Intelligence","author":"Kennedy","year":"2001"},{"key":"10.1016\/j.neucom.2012.09.045_bib23","doi-asserted-by":"crossref","unstructured":"J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proceedings of the IEEE International Conference on Neural Networks, vol. 4, 1995, pp. 1942\u20131948.","DOI":"10.1109\/ICNN.1995.488968"},{"key":"10.1016\/j.neucom.2012.09.045_bib24","series-title":"Evolutionary Algorithms in Engineering Applications","year":"1997"},{"issue":"6","key":"10.1016\/j.neucom.2012.09.045_bib25","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/2.294849","article-title":"Genetic algorithms\u2014a survey","volume":"27","author":"Srinivas","year":"1994","journal-title":"IEEE Comput."},{"key":"10.1016\/j.neucom.2012.09.045_bib26","doi-asserted-by":"crossref","first-page":"427","DOI":"10.1016\/B978-0-12-498150-8.50024-0","article-title":"Toward a practical method which helps uncover the structure of a set of multivariate observations by finding the linear transformation which optimizes a new \u201cIndex of Condensation\u201d","author":"Kruskal","year":"1969","journal-title":"Stat. Comput."},{"issue":"3","key":"10.1016\/j.neucom.2012.09.045_bib27","doi-asserted-by":"crossref","first-page":"225","DOI":"10.2307\/1390644","article-title":"Projection pursuit indexes based on orthonormal function expansions","volume":"2","author":"Cook","year":"1993","journal-title":"J. Comput. Graph. Stat."},{"key":"10.1016\/j.neucom.2012.09.045_bib28","series-title":"Adaptation in Natural and Artificial Systems","author":"Holland","year":"1975"},{"key":"10.1016\/j.neucom.2012.09.045_bib29","series-title":"Foundations of Genetic Algorithms","doi-asserted-by":"crossref","first-page":"205","DOI":"10.1016\/B978-0-08-050684-5.50016-1","article-title":"Genetic algorithms for real parameter optimization","author":"Wright","year":"1991"},{"key":"10.1016\/j.neucom.2012.09.045_bib30","series-title":"Proceedings of the Third International Conference on Genetic Algorithms","first-page":"2","article-title":"Uniform crossover in genetic algorithms","author":"Syswerda","year":"1989"},{"key":"10.1016\/j.neucom.2012.09.045_bib31","first-page":"301","article-title":"An analysis of multi-point crossover","volume":"vol. 1","author":"Spears","year":"1990"},{"key":"10.1016\/j.neucom.2012.09.045_bib32","doi-asserted-by":"crossref","unstructured":"Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, 3rd extended ed., Springer-Verlag, New York, NY, USA, 1996.","DOI":"10.1007\/978-3-662-03315-9"},{"issue":"7","key":"10.1016\/j.neucom.2012.09.045_bib33","doi-asserted-by":"crossref","first-page":"1380","DOI":"10.1109\/36.934071","article-title":"Unsupervised target detection in hyperspectral images using projection pursuit","volume":"39","author":"Chiang","year":"2001","journal-title":"IEEE Trans. Geosci. Remote Sensing"},{"key":"10.1016\/j.neucom.2012.09.045_bib34","unstructured":"A. Frank, A. Asuncion, UCI Machine Learning Repository, URL \u3008http:\/\/archive.ics.uci.edu\/ml\u3009, 2010."},{"issue":"12","key":"10.1016\/j.neucom.2012.09.045_bib35","doi-asserted-by":"crossref","first-page":"3273","DOI":"10.1091\/mbc.9.12.3273","article-title":"Comprehensive identification of cell cycle-regulated genes of the yeast Saccharomyces cerevisiae by microarray hybridization","volume":"9","author":"Spellman","year":"1998","journal-title":"Mol. Biol. Cell"},{"issue":"16","key":"10.1016\/j.neucom.2012.09.045_bib36","doi-asserted-by":"crossref","first-page":"2088","DOI":"10.1093\/bioinformatics\/btg287","article-title":"A Bayesian missing value estimation method for gene expression profile data","volume":"19","author":"Oba","year":"2003","journal-title":"Bioinformatics"},{"key":"10.1016\/j.neucom.2012.09.045_bib37","unstructured":"Y. Shi, R. Eberhart, Fuzzy adaptive particle swarm optimization, in: Proceedings of the 2001 Congress on Evolutionary Computation, vol. 1, 2001, pp. 101\u2013106."}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231213003627?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231213003627?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,5,8]],"date-time":"2024-05-08T13:17:55Z","timestamp":1715174275000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231213003627"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,1]]},"references-count":37,"alternative-id":["S0925231213003627"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2012.09.045","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2014,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Towards an efficient genetic algorithm optimizer for sequential projection pursuit","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2012.09.045","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"Copyright \u00a9 2013 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}]}}