147
Views
33
CrossRef citations to date
0
Altmetric
General Paper

An evolutionary algorithm with the partial sequential forward floating search mutation for large-scale feature selection problems

, &
Pages 529-538 | Received 01 Apr 2012, Accepted 01 May 2013, Published online: 21 Dec 2017

References

  • BäckTHammelUSchwefelHPEvolutionary computation: Comments on the history and current stateIEEE Transactions on Evolutionary Computation19971131710.1109/4235.585888
  • ChoHKimSJeongMParkYZieglerTJonesDGenetic algorithm-based feature selection in high-resolution NMR spectraExpert Systems with Applications200835396797510.1016/j.eswa.2007.08.050
  • ChoHBaekSYounEJeongMTaylorAA two stage classification procedure for near-infrared spectra based on multi-scale vertical energy wavelet thresholding and SVM-based gradient-recursive feature eliminationJournal of the Operational Research Society20096081107111510.1057/jors.2008.179
  • CottaCSloperCMoscatoPEvolutionary search of thresholds for robust feature set selection: Application to the analysis of microarray dataLecture Notes Computer Science20043005213010.1007/978-3-540-24653-4_3
  • Dessi N and Pes B (2009). An evolutionary method for combining different feature selection criteria in microarray data classifications. Journal of Artificial Evolution and Applications 2009: article 3.
  • DuZJeongMKKongSBand selection of hyperspectral images for automatic detection of poultry skin tumorsIEEE Transactions on Automation Science and Engineering20074333233910.1109/TASE.2006.888048
  • FalangisKGlenJJHeuristics for feature selection in mathematical programming discriminant analysis modelsJournal of the Operational Research Society201061580481210.1057/jors.2009.24
  • FrankAAsuncionAUCI Machine Learning Repository2010
  • GarcíaFCGarcíaMMeliánBMorenoJAMorenoMSolving feature subset selection problem by a parallel scatter searchEuropean Journal of Operational Research2006169247748910.1016/j.ejor.2004.08.010
  • HongJHChoSBEfficient huge-scale feature selection with speciated genetic algorithmPattern Recognition Letters200627214315010.1016/j.patrec.2005.07.009
  • JainAKZongkerDFeature selection: Evaluation, application and small sample performanceIEEE Transactions on Pattern Analysis Machine Intelligence199719215315810.1109/34.574797
  • JeongYSKangIJeongMKKongDA new feature selection method for one-class classification problemsIEEE Transactions on Systems, Man, Cybernetics, Part C20124261500150910.1109/TSMCC.2012.2196794
  • Jirapech-UmpaiTAitkeSFeature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genesBMC Bioinformatics2005614810.1186/1471-2105-6-148
  • Jourdan L, Dhaenens C and Talbi E (2001). A genetic algorithm for feature subset selection in data-mining for genetics. In: Proceedings of the 4th Metaheuristics International Conference, Porto, Portugal, pp 29–34.
  • KimYKKimJYKimYA coevolutionary algorithm for balancing and sequencing in mixed model assembly linesApplied Intelligence200013324725810.1023/A:1026568011013
  • KudoMSklanskyJComparison of algorithms that select features for pattern classifiersPattern Recognition2000331254110.1016/S0031-3203(99)00041-2
  • KunchevaLIJainLCNearest neighbor classifier: Simultaneous editing and feature selectionPattern Recognition Letters199920111149115610.1016/S0167-8655(99)00082-3
  • LiuYSchumannMData mining feature selection for credit scoring modelsJournal of the Operational Research Society20055691099110810.1057/palgrave.jors.2601976
  • MeiriRZahaviJUsing simulated annealing to optimize the feature selection problem in marketing applicationsEuropean Journal of Operational Research2006171384285810.1016/j.ejor.2004.09.010
  • NarendraPMFukunagaKA branch and bound algorithm for feature subset selectionIEEE Transactions on Computers197726991792210.1109/TC.1977.1674939
  • OhISLeeJSMoonBHybrid genetic algorithms for feature selectionIEEE Transactions on Pattern Analysis and Machine Intelligence200426111424143710.1109/TPAMI.2004.105
  • PachecoJCasadoSNúñezLGómezOAnalysis of new variable selection methods for discriminant analysisComputational Statistics and Data Analysis20065131463147810.1016/j.csda.2006.04.019
  • PachecoJCasadoSNunezLA variable selection method based on Tabu search for logistic regression modelsEuropean Journal of Operational Research2009199250651110.1016/j.ejor.2008.10.007
  • PagieLHogewegPEvolutionary consequences of coevolving targetsEvolutionary Computation19985440141810.1162/evco.1997.5.4.401
  • PudilPNovovičováJKittlerJFloating search methods in feature selectionPattern Recognition Letters199415111119112510.1016/0167-8655(94)90127-9
  • ShinKSJeongYSJeongMKA two-leveled symbiotic evolutionary algorithm for clustering problemsApplied Intelligence201236478879910.1007/s10489-011-0295-y
  • Stearns SD (1976). On selecting features for pattern classifiers. In: 3rd International Conference on Pattern Recognition, Coronado, CA, pp 71–75.
  • TanQThomassenMJochumsenKMZhaoJHChristensenKKruseTAEvolutionary algorithm for feature subset selection in predicting tumor outcomes using microarray dataLecture Notes in Computer Science2008498342643310.1007/978-3-540-79450-9_39
  • UnlerAMuratAA discrete particle swarm optimization method for feature selection in binary classification problemsEuropean Journal of Operational Research2010206352853910.1016/j.ejor.2010.02.032
  • YangJHonavarVFeature subset selection using a genetic algorithmIEEE Intelligent Systems1998132444910.1109/5254.671091
  • YangJOlafssonSNear-optimal feature selection for large databasesJournal of the Operational Research Society20096081045105510.1057/palgrave.jors.2602651
  • YounEKoenigLJeongMBaekSSupport vector based feature selection using Fisher's linear discriminant and support vector machineExpert Systems with Applications20103796148615610.1016/j.eswa.2010.02.113
  • YuBYuanBA more efficient branch and bound algorithm for feature selectionPattern Recognition199326688388910.1016/0031-3203(93)90054-Z
  • YustaSCDifferent metaheuristic strategies to solve the feature selection problemPattern Recognition Letters200930552553410.1016/j.patrec.2008.11.012

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.