[1] Imtiaz Ahmad, K. Muhammad Dhodhi and M. Faridah Ali, Tabu search
based scheduling algorithm for behavioral synthesis of functional
pipelines, The Computer Journal 13 (2000), 152-166.
[2] F. Brill, D. Brown and W. Martin, Fast genetic selection of
features for neural network classifiers, IEEE Transactions of Neural
Networks 3(2) (1992), 324-328.
[3] L. Y. Chuang, H. W. Chang, C. J. Tu and C. H. Yang, Improved
binary PSO for feature selection using gene expression data,
Computational Biology and Chemistry 32 (2008), 29-38.
[4] T. Cover and P. Hart, Nearest neighbor pattern classification,
Proc. IEEE Trans. Information Theory IT-11 (1967), 21-27.
[5] K. Crammer and Y. Singer, On the Learn Ability and Design of
Output Codes for Multiclass Problems, Proceedings of the Thirteen
Annual Conference on Computational Learning Theory (COLT 2000),
Stanford University, Palo Alto, CA, June 28-July 1, (2000).
[6] B. V. Dasarathy, NN concepts and techniques, nearest neighbor (NN)
norms: NN Pattern classification techniques, (Ed.), IEEE Computer
Society Press (1991), 1-30.
[7] C. Dimitropoulos, Tabu search for the radio links frequency
assignment problem, Proceedings of the Conference on Applied Decision
Technologies 2 (1995), 233-255.
[8] H. M. Feng, Particle swarm optimization learning fuzzy systems
design, Proceedings of the Third International Conference on
Information Technology and Applications (ICITA\'05) 2 (2005), 363-366.
[9] E. Fix and J. L. Hodges, Discriminatory analysis-nonparametric
discrimination: Consistency Properties, Project 21-49-004, Report 4,
US Air Force School of Aviation Medicine, Randolph Field (1951),
261-279
[10] F. Glover, Tabu Search-Part I, ORSA Journal on Computing 3
(1989), 190-206.
[11] F. Glover, Tabu Search-Part II, ORSA Journal on Computing 2
(1990), 4-32.
[12] T. Hastie, R. Tibshirani and J. Friedman, The Elements of
Statistical Learning: Data Mining, Inference, Prediction Springer,
(2001).
[13] C. W. Hsu and C. J. Lin, A comparison of methods for multi-class
support vector machines, IEEE Trans. Neural Network 12 (2002),
415-425.
[14] S. Janson and M. Middendorf, A hierarchical particle swarm
optimizer for dynamic optimization problems, LNCS No.3005: Proceedings
of Applications of Evolutionary Computing: EvoWorkshops 2004: EvoBIO,
EvoCOMNET, EvoHOT, EvoISAP, EvoMUSART, and EvoSTOC, Coimbra, Portugal,
(2004), 513-524.
[15] J. Kennedy and R. C. Eberhart, Particle swarm optimization, In
proceedings of the 1995 IEEE International Conference on Neural
Networks, Perth, Australia, 4 (1995), 1942-1948.
[16] J. Kennedy and R. C. Eberhart, A discrete binary version of the
particle swarm algorithm, Systems, Man and Cybernetics, 1997,
Computational Cybernetics and Simulation, 1997 IEEE International
Conference on Volume 5, 12-15 Oct. (1997), 4104-4108.
[17] J. Kennedy, R. C. Eberhart and Y. Shi, Swarm Intelligence, Morgan
Kaufmann Publishers, San Francisco, 2001.
[18] U. Kreßel, Pairwise classification and support vector
machines, Advances in Kernel Methods, Support Vector Learning,
Cambridge, MA: MIT Press (1999), 255-268.
[19] M. Kudo and J. Sklansky, Comparison of algorithms that select
features for pattern classifiers Pattern Recognition 33 (2000),
25-41.
[20] T. Li, S. Zhu and M. Ogihara, Efficient multi-way text
categorization via generalized discriminant analysis, Proceedings of
Twelfth International Conference on Information and Knowledge
Management (CIKM 2003), ACM Press, NY, (2003), 317-324.
[21] M. Meissner, M. Schmuker and G. Schneider, Optimized Particle
Swarm Optimization (OPSO) and its Application to Artificial Neural
Network Training, BMC Bioinformatics, in press, (2006).
[22] T. M. Mitchell, Machine Learning, McGraw-Hill, New York, USA,
(1997).
[23] T. Morzy, M. Matysiak and S. Salza, Tabu search optimization of
large join queries, Lecture Notes in Computer Science 779 (1994),
309-322.
[24] P. M. Murphy and D. W. Aha, UCI Repository of Machine Learning
Databases, Technical Report, Department of Information and Computer
Science, University of California, Irvine, Calif, (1994).
Available: www.ics.uci.edu/~mlearn/MLRepository.html
[25] I. S. Oh, J. S. Lee and B. R. Moon, Hybrid genetic algorithms for
feature selection, IEEE Trans. Pattern Analysis and Machine
Intelligence 26(11) (2004), 1424-1437.
[26] J. C. Platt, N. Cristianini and J. Shawe-Taylor, Large margin
DAGS for multiclass classification, Advances in Neural Information
Processing Systems 12, MIT Press (2000), 547-553.
[27] P. Pudil, J. Novovicova and J. Kittler, Floating search methods
in feature selection, Pattern Recognition Letters 15 (1994),
1119-1125.
[28] B. Roberto, Using mutual information for selecting features in
supervised neural net learning, IEEE Trans. on Neural Networks 5(4)
(1994), 537-550.
[29] R. S. Safavian and D. Landgrebe, A survey of decision tree
classifier methodology, IEEE Trans. Systems, Man, and Cybernetics 21
(1991), 660-675.
[30] Y. H. Shi and R. C. Eberhart, A modified particle swarm
optimizer, In Proceedings of the IEEE International Conference on
Evolutionary Computation (1998), 69-73.
[31] M. A. Tahir, A. Bouridane, F. Kurugollu and A. Amira, A novel
prostate cancer classification technique using intermediate memory
tabu search, EURASIP J. Appl. Sign. Proc. 14 (2005), 2241-2249.
[32] M. A. Tahir, A. Bouridane and F. Kurugollu, Simultaneous feature
selection and feature weighting using hybrid tabu
search/K-nearest neighbor classifier, Pattern Recognition
Letters 28 (2007), 438-446.
[33] V. Vapnik, Statistical Learning Theory, Wiley-Interscience, New
York, USA, (1998).
[34] M. P. Wachowiak and A. S. Elmaghraby, The continuous Tabu Search
as an Optimizer for 2D-to-3D Biomedical Image Registration, Lecture
Notes in Computer Science, Proc. MICCAI 2001-2208, (2001),
1273-1274.
[35] J. Weston and C. Watkins, Support vector machines for multi-class
pattern recognition, Proceedings of the Seventh European Symposium On
Artificial Neural Networks (ESANN 99), Bruges (1999), 21-23.
[36] Habib Youssef and M. Sadiq Sait, Timing-driven global routing for
standard-cell {VLSI} design, Int. J. Comp. Sys. Sci. Eng. 14 (1999),
175-185.
[37] B. Yu and B. Yuan, A more efficient branch and bound algorithm
for feature selection, Pattern Recognition 26(6) (1993), 883-889.
[38] H. Zhang and G. Sun, Feature selection using tabu search method,
Pattern Recognition 35 (2002), 701-711.