메뉴 건너뛰기




Volumn 16, Issue 2, 2012, Pages 167-182

An improved particle swarm optimization for feature selection

Author keywords

Feature selection; genetic algorithms; particle swarm optimization; sequential search algorithms

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFIER PERFORMANCE; DATA SETS; FEATURE SELECTION PROBLEM; FEATURE SUBSET; HIGH-DIMENSIONAL FEATURE SPACE; IMPROVED PARTICLE SWARM OPTIMIZATION; IMPROVED PARTICLE SWARM OPTIMIZATION ALGORITHMS; LOCAL OPTIMAL; MACHINE-LEARNING DATABASE; META HEURISTIC ALGORITHM; OPTIMIZATION ALGORITHMS; PARTICLE SWARM; POPULATION DIVERSITY; SEQUENTIAL SEARCH ALGORITHM; SIGN TEST;

EID: 84863296178     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-2012-0517     Document Type: Article
Times cited : (24)

References (29)
  • 3
  • 4
    • 0037186503 scopus 로고    scopus 로고
    • Feature selection for structure-activity correlation using binary particle swarms
    • DOI 10.1021/jm0104668
    • D.K.Agrafiotis andW. Cedeno, Feature Selection for Structure-Activity Correlation Use Binary Particle Swarms, Journal of Medicinal Chemistry 45 (2002), 1098-1107. (Pubitemid 34173920)
    • (2002) Journal of Medicinal Chemistry , vol.45 , Issue.5 , pp. 1098-1107
    • Agrafiotis, D.K.1    Cedeno, W.2
  • 5
    • 51749123574 scopus 로고    scopus 로고
    • Classification of electrocardiogram signals with support vector machine and particle swarm opt
    • F. Melgani and Y. Bazi, Classification of Electrocardiogram Signals with Support Vector Machine and Particle Swarm Opt, Information Technology in Biomedicine 12 (2008), 667-677.
    • (2008) Information Technology in Biomedicine , vol.12 , pp. 667-677
    • Melgani, F.1    Bazi, Y.2
  • 6
    • 33748871475 scopus 로고
    • Discriminatory analysis-nonparametric discrimination: Consistency properties
    • F.E. Fix and J.L. Hodges, Discriminatory Analysis-Nonparametric Discrimination: Consistency Properties, School of Mathematical Sciences 4 (1951), 261-279.
    • (1951) School of Mathematical Sciences , vol.4 , pp. 261-279
    • Fix, F.E.1    Hodges, J.L.2
  • 7
    • 77950188544 scopus 로고    scopus 로고
    • A new approach for allocation and sizing of multiple active power-line conditioners
    • I. Ziari and A. Jalilian, A New Approach for Allocation and Sizing of Multiple Active Power-Line Conditioners, IEEE Transactions on Power Delivery 25 (2010), 1026-1035.
    • (2010) IEEE Transactions on Power Delivery , vol.25 , pp. 1026-1035
    • Ziari, I.1    Jalilian, A.2
  • 8
    • 68949155378 scopus 로고    scopus 로고
    • Feature subset selection in large dimensionality domains
    • I.A. Gheyas and L.S. Smith, Feature Subset Selection in Large Dimensionality Domains, Pattern Recognition 43 (2010), 5-13.
    • (2010) Pattern Recognition , vol.43 , pp. 5-13
    • Gheyas, I.A.1    Smith, L.S.2
  • 10
    • 56049086164 scopus 로고    scopus 로고
    • A particle swarm optimization for the vehicle routing problem with simultaneous pickup and delivery
    • J Ai and V. Kachitvichyanukul, A Particle Swarm Optimization for the Vehicle Routing Problem with Simultaneous Pickup and Delivery, Compute and Operations Research 36 (2009), 1693-1702.
    • (2009) Compute and Operations Research , vol.36 , pp. 1693-1702
    • Ai, J.1    Kachitvichyanukul, V.2
  • 13
    • 76649095976 scopus 로고    scopus 로고
    • An improved particle swarm optimization for nonconvex economic dispatch problems
    • J.B. Park, Y.W. Jeong, J.R. Shin and K.Y. Lee, An Improved Particle Swarm Optimization for Nonconvex Economic Dispatch Problems, IEEE Transactions on Power System 25 (2010), 156-166.
    • (2010) IEEE Transactions on Power System , vol.25 , pp. 156-166
    • Park, J.B.1    Jeong, Y.W.2    Shin, J.R.3    Lee, K.Y.4
  • 15
    • 0032732482 scopus 로고    scopus 로고
    • A model for K-nearest neighbor query processing cost in multidimensional data space
    • J.H. Lee and G.H. Cha, A Model for K-Nearest Neighbor Query Processing Cost in Multidimensional Data Space, Information Processing Letters 69 (1999), 69-76.
    • (1999) Information Processing Letters , vol.69 , pp. 69-76
    • Lee, J.H.1    Cha, G.H.2
  • 16
    • 0032028297 scopus 로고    scopus 로고
    • Feature subset selection using a genetic algorithm
    • J.H. Yang and V. Honavar, Feature Subset Selection Using a Genetic Algorithm, IEEE Intelligent System 13 (1998), 44-49.
    • (1998) IEEE Intelligent System , vol.13 , pp. 44-49
    • Yang, J.H.1    Honavar, V.2
  • 17
  • 18
    • 0013326060 scopus 로고    scopus 로고
    • Feature selection for classification
    • M. Dash and H. Lin, Feature Selection for Classification, Intelligent Data Analysis 1 (1997), 131-156.
    • (1997) Intelligent Data Analysis , vol.1 , pp. 131-156
    • Dash, M.1    Lin, H.2
  • 19
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • DOI 10.1016/S0031-3203(99)00041-2
    • M. Kudo and J. Sklansky, Comparison of Algorithms that Select Features for Pattern Recognition, Pattern Recognition 33 (2000), 25-41. (Pubitemid 32081876)
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 20
    • 33751209700 scopus 로고    scopus 로고
    • A binary particle swarm optimization algorithm for lot sizing problem
    • M.F. Tasgetiren and Y.C. Liang, A Binary Particle Swarm Optimization Algorithm for Lot Sizing Problem, Journal of Economic and Social Research 5 (2007), 1-20.
    • (2007) Journal of Economic and Social Research , vol.5 , pp. 1-20
    • Tasgetiren, M.F.1    Liang, Y.C.2
  • 22
    • 75749136004 scopus 로고    scopus 로고
    • Analysis and benchmarking ofmeta-heuristic techniques for lay-up optimization
    • M.W. Bollmfield, J.E. Herencia and P.M.Weaver, Analysis and Benchmarking ofMeta-Heuristic Techniques for Lay-Up Optimization, Computers and Structures 88 (2010), 272-282.
    • (2010) Computers and Structures , vol.88 , pp. 272-282
    • Bollmfield, M.W.1    Herencia, J.E.2    Weaver, P.M.3
  • 24
    • 0041970138 scopus 로고    scopus 로고
    • ConformationalAnalyses and SAR studies of antispermatogenichexahydroindenopyridines
    • S.Maximiliano and T.Yuji, ConformationalAnalyses and SARStudies of AntispermatogenicHexahydroindenopyridines, Journal of Molecular Structure: Theochem 633 (2003), 93-104.
    • (2003) Journal of Molecular Structure: Theochem , vol.633 , pp. 93-104
    • Maximiliano, S.1    Yuji, T.2
  • 25
    • 17844387127 scopus 로고    scopus 로고
    • Neighbor-weighted K-nearest neighbor for unbalanced text corpus
    • DOI 10.1016/j.eswa.2004.12.023, PII S0957417404001708
    • S. Tan, Neighbor-Weighted K-Nearest Neighbor for Unbalanced Text Corpus, Expert System with Applications 28 (2005), 667-671. (Pubitemid 40583844)
    • (2005) Expert Systems with Applications , vol.28 , Issue.4 , pp. 667-671
    • Tan, S.1
  • 26
    • 75449112831 scopus 로고    scopus 로고
    • Wrapper-based feature subset selection for rapid image informationmining
    • S.S.Durbha, R.L.King and N.H. Younan,Wrapper-Based Feature Subset Selection for Rapid Image InformationMining, IEEE Geoscience and Remote Sensing 7 (2010), 43-47.
    • (2010) IEEE Geoscience and Remote Sensing , vol.7 , pp. 43-47
    • Durbha, S.S.1    King, R.L.2    Younan, N.H.3
  • 27
    • 84901470581 scopus 로고    scopus 로고
    • Multiobjective optimization using dynamic neighborhood particle swarm optimization
    • X. Hu and R. Eberhart, Multiobjective Optimization Using Dynamic Neighborhood Particle Swarm Optimization, IEEE Congress on Evolutionary Computation 2 (2002), 1677-1681.
    • (2002) IEEE Congress on Evolutionary Computation , vol.2 , pp. 1677-1681
    • Hu, X.1    Eberhart, R.2
  • 29
    • 76649129353 scopus 로고    scopus 로고
    • Optimizing feature selection to improve medical diagnosis
    • Y.J. Fan and W.A. Chaovalitwongse, Optimizing Feature Selection to Improve Medical Diagnosis, Annals of Operations Research 174 (2010), 169-183.
    • (2010) Annals of Operations Research , vol.174 , pp. 169-183
    • Fan, Y.J.1    Chaovalitwongse, W.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.