Journals ( Published / Accepted )


  1. S. Bandyopadhyay, C. A. Murthy and S. K. Pal,  "Pattern Classification using Genetic Algorithms", Pattern Recognition Letters, vol. 16, pp. 801--808, August 1995.
  2. S. Bandyopadhyay and S. K. Pal, "Pattern Classification with Genetic Algorithms: Incorporation of Chromosome Differentiation,'' Pattern Recognition Letters, vol. 18, pp. 119-131, 1997.

  3. S. K. Pal, S. Bandyopadhyay, and C. A. Murthy, "Genetic Algorithms for Generation of Class Boundaries,'' IEEE Transactions on Systems, Man and Cybernetics,vol. 28, nos. 6, pp. 816-828, 1998.

  4. S. Bandyopadhyay, S. K. Pal and U. Maulik, ``Incorporating Chromosome Differentiation in Genetic Algorithms,'' Information Sciences, vol.104, nos. 3-4, pp. 293--319, 1998.

  5. S. Bandyopadhyay, S. K. Pal and C. A. Murthy,"Simulated Annealing Based Pattern Classification,'' Information Sciences, vol.109, pp. 165--184,1998.

  6. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Pattern Classification Using Genetic Algorithms : Determination of  H'', Pattern Recognition Letters, vol.19, no.13, pp. 1171--1181, 1998.

  7. S. Bandyopadhyay, C. A. Murthy and S. K. Pal, "Theoretical Performance of Genetic Pattern Classifier,'' Journal of the Franklin Institute, vol.336, pp.387-422, 1999.

  8. S. Bandyopadhyay and S. K. Pal, "Relation Between VGA-classifier and MLP : Determination of Network Architecture", Fundamenta Informaticae, vol.37, no.1/2, pp. 177-196,1999.

  9. U. Maulik, S. Bandyopadhyay and S. Bhattacharyya, "Fault Tolerant Permutation Mapping in Multistage Interconnection Network'',  Journal of System Architecture, vol. 46, pp. 297 - 300, 2000.

  10. U. Maulik and S. Bandyopadhyay, "Genetic Algorithm Based Clustering Technique'', Pattern Recognition, vol. 33, no. 9, pp. 1455-1465, 2000.

  11. S. Bandyopadhyay and U. Maulik, "An Improved Evolutionary Algorithm as Function Optimizer",  Journal of Institute of Electronics and Telecommunication Engineers (IETE), vol. 46, nos. 1 & 2, pp. 47-56, 2000.

  12. S. Bandyopadhyay, C. A. Murthy and Sankar K. Pal, ``VGA-Classifier: Design and Application'', IEEE Transactions on Systems, Man and Cybernetics, vol. 30, no. 6, pp. 890-895, 2000.

  13. H. Kargupta and S. Bandyopadhyay, ``A Perspective on the Foundation and Evolution of the Linkage Learning Genetic Algorithms'', The Journal of Computer Methods in Applied Mechanics and Engineering. Special issue on Genetic Algorithms, D.E. Goldberg and K. Deb (Eds.), vol. 186, pp. 266--294, 2000.

  14. S. Bandyopadhyay, U. Maulik and M. K. Pakhira, "Clustering using Simulated Annealing with Probabilistic Redistribution'' , International Journal of Pattern Recognition and Artificial Intelligence, vol 15, no. 2, pp. 269-285, 2001.

  15. S. Bandyopadhyay and S. K. Pal, ``Pixel Classification Using Variable String Genetic Algorithms with Chromosome Differentiation'' IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 2, pp. 303-308, 2001

  16. S. Bandyopadhyay and U. Maulik, `` Non-parametric Genetic Clustering : Comparison of Validity Indices'', IEEE Transactions on Systems, Man and Cybernetics Part-C, vol. 31, no. 1, pp. 120-125, 2001.

  17. S. Bandyopadhyay, C. A. Murthy and Sankar. K. Pal, "Supervised pattern classification by Surface Fitting with Genetic Algorithms'', INSA Special Issue on Image Processing, Vision and Pattern Recognition,(S. K. Pal and C. A. Murthy, eds.),vol. 67, no. 2, pp. 295-314, 2001.

  18. U. Maulik, S. Bandyopadhyay and J. Trinder, "SAFE: An Efficient Feature Extraction Technique'',  Journal of Knowledge and Information Systems, vol. 3, issue 3, pp. 374-387, 2001.

  19. S. K. Pal, S. Bandyopadhyay and C. A. Murthy, "Genetic Classifiers for Remotely Sensed Images : Comparison with Standard Methods'' International Journal of Remote Sensing, vol. 22, no. 13, pp. 2545-2569,2001.

  20. S. Roy, S. Bandyopadhyay and U. Maulik, "Proof Regarding the NP-Completeness of the weighted Complex Triangle Elimination (CTE) Problem for General Adjacency Graphs'' Proc.  IEE-Computers and Digital Techniques, vol. 148, no. 6, pp. 238-244, 2001.

  21. S. Bandyopadhyay and U. Maulik, ''Genetic Clustering for Automatic Evolution of Clusters and Application to Image Classification", Pattern Recognition, vol. 35, no. 2, pp. 1197-1208, 2002.

  22. S. Bandyopadhyay and U. Maulik, "An  Evolutionary Technique Based on K-Means Algorithm for Optimal Clustering in RN'', Information Sciences, vol. 146, pp. 221-237, 2002.

  23. S. Bandyopadhyay, "Contour Extraction Using Genetic Algorithms'', Journal of Institute of Electronics and Telecommunication Engineers (IETE), vol. 48, no. 5, pp. 369-376, 2002.

  24. S. Bandyopadhyay and U. Maulik, "Efficient Prototype Reordering in Nearest Neighbor Classification'', Pattern Recognition , vol. 35, pp. 2791-2799, 2002.

  25. S. Roy, S. Bandyopadhyay, U. Maulik and B. K. Sikdar, "A Genetic Algorithm Based State Assignment Scheme for Synthesis of Testable FSMs Targeting Area and Delay'', International Journal of Engineering Intelligent Systems, vol. 10, no. 1, pp. 45-52, 2002.

  26. U. Maulik and S. Bandyopadhyay, "Performance Evaluation of Some Clustering Algorithms and Validity Indices'', IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1650-1654, 2002.

  27. U. Maulik and S. Bandyopadhyay, "Fuzzy Partitioning Using Real Coded Variable Length Genetic Algorithm for Pixel Classification'', IEEE Transactions on Geosciences and Remote Sensing, vol.  41, no. 5, pp. 1075-1081, 2003.

  28. S. Roy, U. Maulik, S. Bandyopadhyay, S. Basu and B. K. Sikdar, " Fan-in-Factor & Fan-out-Factor (FiF-FoF) Oriented BIST Design for Sequential Machine'', Proceedings  IEE-Computers and Digital Technique, vol. 150, no. 3, pp. 183-188, 2003.

  29. Malay K. Pakhira, S. Bandyopadhyay  and Ujjwal Maulik, "Validity Index for Crisp and Fuzzy Clusters'', Pattern Recognition , vol. 37, no. 3, pp. 487-501, 2004.

  30. S. Bandyopadhyay, "An Automatic Shape Independent Clustering Technique'', Pattern Recognition, vol. 37, pp. 33-45, 2004.

  31. S. Bandyopadhyay, S. K Pal, Fellow and B. Aruna, "Multi-objective GAs, Quantitative Indices and Pattern Classification'', IEEE Transactions on Systems, Man and Cybernetics - B, vol. 34, no. 5, pp. 2088-2099, 2004.

  32. M. K. Pakhira, S. Bandyopadhyay, U. Maulik, "An Annealing Evolution Technique for Clustering", Foundations of Computing and Decision Sciences Journal,  vol. 29, no. 4, pp. 345-372, 2004.

  33. S. Roy, U. Maulik and S. Bandyopadhyay, ``Search Strategies to Solve the Complex Triangle Elimination (CTE) Problem'' , IETE Journal of Research, vol. 50, no. 6, pp. 409-423, 2004.

  34.  S. Bandyopadhyay, "Satellite Image Classification Using Genetically Guided Fuzzy Clustering with Spatial Information'', International Journal of Remote Sensing, vol. 26, no. 3, pp. 579-593, 2005.

  35. S. Bandyopadhyay, "Simulated Annealing Using Reversible Jump Markov Chain Monte Carlo Algorithm for Fuzzy Clustering'', IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 4, pp. 479-490, 2005.

  36. S. Bandyopadhyay, "An Efficient Technique for Superfamily Classification of Amino Acid Sequences: Feature Extraction, Fuzzy Clustering and Prototype Selection'', Fuzzy Sets and Systems, vol. 152, pp. 5-16, 2005.

  37. S. Bandyopadhyay, Ac. Bagchi and U. Maulik, ``Active Site Driven Ligand Design: An Evolutionary Approach", Journal of Bioinformatics and Computational Biology, vol. 3, No. 5, pp.1053-1070, 2005.

  38. M. K. Pakhira, S. Bandyopadhyay and U. Maulik, ``A Study of Some Fuzzy Cluster Validity Indices, Genetic Clustering and Application to Pixel Classification'', Fuzzy Sets and Systems, vol. 155, pp. 191-214, 2005.

  39. S. S. Ray, S. Bandyopadhyay, P. Mitra and S. K. Pal, "Bioinformatics in Neurocomputing Framework", Proc. IEE, Circuits, Devices and Systems, vol. 152, pp. 556-564, 2005.

  40. S. K. Pal, S. Bandyopadhyay and S. S. Ray, "Evolutionary Computation in Bioinformatics: A Review",  IEEE Transactions on Systems, Man and Cybernetics, Part C,  vol. 36, no. 2, 2006.

  41. S. Bandyopadhyay, C. Giannella, U. Maulik, H. Kargupta, K. Liu and S. Datta, "Clustering Distributed Data Streams in Peer-to-Peer Environments'', Information Sciences,  vol. 176, no. 14, pp. 1952-1985, 2006.

  42. U. Maulik and A. Mukhopadhyay and S. Bandyopadhyay, ``Efficient Clustering with Multi-class Point Identification", Journal of Three Dimensional Images, vol. 20, no. 1, pp.35-40, 2006.

  43. S. Bandyopadhyay, U. Maulik and A. Mukhopadhyay, ``Multiobjective Genetic Clustering for Pixel Classification in Remote Sensing Imagery'', IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 5, pp. 1506-1511, 2007.

  44. .S. S. Ray, S. Bandyopadhyay, and S. K. Pal, ``Dynamic Range Based Distance Measure for Microarray Expressions and A Fast Gene Ordering Algorithm'', IEEE Transactions on Systems, Man and Cybernetics, Part B, vol. 37, no. 3, pp. 742-749, 2007.

  45. S. S. Ray, S. Bandyopadhyay and S. K. Pal, ``Gene Ordering in Partitive Clustering using Microarray Expressions", Journal of Biosciences (INCOB special issue), vol. 32, no. 5, pp. 1019-1025, 2007.

  46. S. S. Ray, S. Bandyopadhyay, and S. K. Pal, ``Genetic Operators for Combinatorial Optimization in TSP and Microarray Gene Ordering'', Applied Intelligence, vol. 26, no. 3, pp. 183-195, 2007.

  47. S. Bandyopadhyay and S. Saha,  ``GAPS: A clustering method using a new point symmetry-based distance measure Technique", Pattern Recognition, vol. 40, no. 12, pp. 3430-3451, 2007.

  48. P. K. Tripathi, S. Bandyopadhyay and S. K. Pal, ``Multiobjective Particle Swarm Optimization with Time Variant Inertia and Acceleration Coefficients'', Information Sciences, vol. 177, no. 22, pp. 5033-5049, 2007

  49. S. Bandyopadhyay, A. Mukhopadhyay and U. Maulik, ``An Improved Algorithm for Clustering Gene Expression Data", Bioinformatics, Oxford University Press, vol. 23, no. 21, pp. 2859-2865, 2007.

  50. S. Bandyopadhyay, U. Maulik and D. Roy, ``Gene Identification: Classical and Computational Intelligence Approaches'', IEEE Transactions on Systems, Man and Cybernetics, Part C, vol. 38, no. 1, pp. 55-68, 2008.

  51. S. Bandyopadhyay and S. Santra, "A Genetic Approach for Efficient Outlier Detection in Projected Space", Pattern Recognition, vol. 41, no. 4, pp. 1338-1349, 2008.

  52. A. Seth, S. Bandyopadhyay and U. Maulik, ``Probabilistic Analysis of Cellular Automata Rules and its Application in Pseudo Random Pattern Generation'', International Journal of Applied Mathematics, vol. 38, no. 4, pp. 205-213, 2008.

  53. S. Saha and S. Bandyopadhyay, ``Application of a New Symmetry Based Multiobjective Clustering Technique for Automatic MR Brain Image Segmentation'', Australian Journal of Intelligent Information Processing Systems (AJIIPS), vol. 10, no. 2, pp. 19-28, 2008.

  54. S. Bandyopadhyay, S. Saha, U. Maulik and K. Deb, ``A Simulated Annealing Based Multi-objective Optimization Algorithm: AMOSA", IEEE Transaction on Evolutionary Computation, vol. 12, no. 3, pp. 269-283, 2008.

  55. S. Saha and S. Bandyopadhyay, ``Application of a New Symmetry Based Cluster Validity Index for Satellite Image Segmentation'', IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 2, pp. 166-170, April 2008.

  56. S. Saha and S. Bandyopadhyay, ``Fuzzy Symmetry Based Real-Coded Genetic Clustering Technique for Automatic Pixel Classification in Remote Sensing Imagery", Fundamenta Informaticae, vol. 84, no. 3-4, pp. 471-492, 2008.

  57. S. Bandyopadhyay and S. Saha, ``A Point Symmetry Based Clustering Technique for Automatic Evolution of Clusters'', IEEE Transactions on Knowledge and Data Engineering, vol 20, no. 11, pp. 1441-1457, 2008.

  58. U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay. “Combining Pareto-Optimal Clusters using Supervised Learning for Identifying Co-expressed Genes”, BMC Bioinformatics, 10:27, 2009.

  59. M. Bhattacharyya and S. Bandyopadhyay, “Information Fusion in Bioinformatics”, Technorama, Institution of Engineers (India), vol. 58(T), pp. 21-25, 2009.

  60. S. S. Ray, S. Bandyopadhyay and S. K. Pal, ``Combining Multi-Source Information through Functional Annotation based Weighting: Gene Function Prediction in Yeast'', IEEE Transactions on Biomedical Engineering, vol. 56, no. 2, pp. 229-236, 2009.

  61. S. Bandyopadhyay and M. Bhattacharyya, “Analyzing miRNA co-expression networks to explore TF-miRNA regulation”, BMC Bioinformatics, 10:163, 2009. [Highly accessed]

  62. S. Saha and S. Bandyopadhyay “Some Symmetry Based Classifiers”, Fundamenta Informaticae, vol. 90, no. 1-2, pp. 107-123, 2009.

  63. S. Bandyopadhyay and R. Mitra,“Targetminer: MicroRNA Target Prediction with Systematic Identification Of Tissue Specific Negative Examples”, Bioinformatics, 2009, doi: 10.1093/bioinformatics/btp503, Report in BioTechLaw Weekly

  64. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “A Novel Coherence Measure for Discovering Scaling Biclusters from Gene Expression Data”, Journal of Bioinformatics and Computational Biology, vol. 7, no. 5, pp. 853-868, 2009.

  65. S. Saha, S. Sur-Kolay, P. Dasgupta and S. Bandyopadhyay, “MAkE: Multiobjective Algorithm for k-way Equipartitioning of a Point Set”, Applied Soft Computing, vol. 9, pp. 711-724, 2009.

  66. S. Saha and S. Bandyopadhyay, “A New Line Symmetry Distance and its Application to Data Clustering”, Journal of Computer Science and Technology, vol. 24, no. 3, 2009.

  67. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, Multi-objective Genetic Algorithm based Fuzzy Clustering of Categorical Attributes”, IEEE Transactions on Evolutionary Computation, vol. 13, no. 5, pp. 991-1005, 2009.

  68. M. Bhattacharyya, S. Bandyopadhyay and U. Maulik, “Non-primes are Recursively Divisible", Acta Universitatis Apulensis, vol. 19, pp. 147-151, 2009.

  69. S. Bandyopadhyay and M. Bhattacharyya, ``A Novel Method of Studying the Disease Regulatory Activities of MicroRNAs”, Current Bioinformatics, vol. 4, no. 3, pp. 234-241, 2009.

  70. M. Bhattacharyya and S. Bandyopadhyay, “Solving Maximum Fuzzy Clique Problem with Neural Networks and its Applications”, Journal of Memetic Computing, Thematic Issue on “Adaptive Soft Computing Techniques and Applications”, vol. 1, no. 4, pp. 281-290, 2009.

  71. S. Bandyopadhyay and M. Bhattacharyya, “Mining the Largest Dense Vertexlet in a Weighted Scale-free Graph”, Fundamenta Informaticae vol. 96, no. 1-2, pp. 1-25, 2009.

  72. S. Bandyopadhyay and R. Mitra, “A Parallel Pairwise Local Sequence Alignment Algorithm”, IEEE Transactions on NanoBioScience, vol. 8, no. 2, pp. 139 - 146, 2009.

  73. S. Saha and S. Bandyopadhyay, “Performance Evaluation of Some Symmetry Based Cluster Validity Indices”, IEEE Transactions on Systems, Man and Cybernetics (Part C), vol. 39, no. 4, pp. 420-425, 2009.

  74. S. Saha and S. Bandyopadhyay, “A New Point Symmetry Based Fuzzy Genetic Clustering Technique for Automatic Evolution of Clusters”, Information Sciences, vol. 179, no. 19, pp. 3230-3246, 2009.

  75. U. Maulik, A. Mukhopadhyay and S. Bandyopadhyay, “Finding Multiple Coherent Biclusters in Microarray Data using Variable String Length Multiobjective Genetic Algorithm”, IEEE Transactions on Information Technology in BioMedicine, vol. 13, no. 6, pp. 969-975, 2009.

  76. S. Saha and S. Bandyopadhyay, “Semi-GAPS: A Clustering Method Using a Point Symmetry Based Distance Measure for Semi-supervised Clustering”, Fundamenta Informaticae, vol. 96, no. 1-2, pp. 195-209, 2009.

  77. S. Saha and S. Bandyopadhyay, “A New Multiobjective Simulated Annealing Based Clustering Technique Using Symmetry”, Pattern Recognition Letters, vol. 30, no. 15, pp. 1392-1403, 2009.

  78. S. Saha and S. Bandyopadhyay, “MR Brain Image Segmentation using a Multiseed Based Automatic Clustering Technique”, Fundamenta Informaticae, vol. 97, no. 1-2, pp. 199-214, 2009.

  79.  S. Saha and S. Bandyopadhyay, “A Symmetry Based Multiobjective Clustering Technique for Automatic Evolution of Clusters”, Pattern Recognition, vol. 43, no. 3, pp. 738-751, March 2010.

  80. S. Bandyopadhyay, R. Mitra, U. Maulik and M. Q. Zhang, “Development of the Human Cancer microRNA Network”, BMC Silence, vol. 1, art no. 6, 2010 (one of five featured article in Biomed Central as on February 5, 2010). [Highly accessed]

  81. R. Mitra, S. Bandyopadhyay, U. Maulik and M. Q. Zhang, “SFSSClass: An integrated approach for miRNA based tumor classification”, BMC Bioinformatics, vol. 11, Suppl. 1, p. S22, DOI 10.1186/1471-2105-11-S1-S22, 2010.

  82. S. Bandyopadhyay, R. Baragona and U. Maulik, “Clustering Multivariate Time Series by Genetic Multiobjective Optimization”, METRON - International Journal of Statistics, vol. LXVIII, no. 2, pp. 161-183, 2010.

  83. S. Bandyopadhyay and S. Sengupta, “IVGA3D: De Novo Ligand Design using a Variable Sized Tree Representation”, Protein & Peptides Letters, PubMed PMID: 20518735 (e-publication ahead of print), 2010.

  84. I. Saha and U. Maulik and S. Bandyopadhyay and D. Plewczynsk, “Unsupervised and Supervised Learning Approaches Together for Microarray Analysis”, Fundamenta Informaticae, vol. 106, no. 1, pp. 45-73, 2010.

  85. S. Bandyopadhyay, M. Bhattacharyya, “PuTmiR: A database for extracting neighboring transcription factors of human microRNAs”, BMC Bioinformatics (accepted), 11:190, doi:10.1186/1471-2105-11-190  [Highly accessed]

  86. U. Maulik, S. Bandyopadhyay and I. Saha, “Integrating Clustering and Supervised Learning for Categorical Data Analysis” IEEE Transactions on Systems, Man and Cybernetics - Part A, vol. 40, no. 4, pp.664-675, 2010.

  87. S. Saha and S. Bandyopadhyay, “A New Multiobjective Clustering Technique Based on the Concepts of Stability and Symmetry”, Knowledge and Information Systems (KAIS) Journal, vol. 23, no. 1, pp. 1-27, 2010.

  88. A. Mukhopadhyay, U. Maulik and S. Bandyopadhyay, “On Biclustering of Gene Expression Data”, Current Bioinformatics, vol. 5, no. 3, pp. 204-216, 2010.

  89. S. Saha and S. Bandyopadhyay, “Application of a Multiseed Based Clustering Technique for Automatic Satellite Image Segmentation”, IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 2, pp. 306-308, 2010.

  90. S. Saha and S. Bandyopadhyay, “New Multiobjective Simulated Annealing Based Fuzzy Clustering Technique: Application to Automatic Pixel Classification in Remote Sensing Imagery”, Foundations of Computing and Decision Sciences, vol. 34, no. 3, pp. 209-229, 2010.

  91. A. Mukhopadhyay, S. Bandyopadhyay and U. Maulik, “Multi-class Clustering of Cancer Subtypes through SVM based Ensemble of Pareto-optimal Solutions for Gene Marker Identification”, PLoS One, vol. 5, no.11, art. id. e13803, 2010.

  92. S. Bandyopadhyay, S. Saha and W. Pedrycz, “Use of a Fuzzy Granulation-degranulation Criterion for Assessing Cluster Validity”, Fuzzy Sets and Systems, vol. 170, no. 1, pp. 22-42, 2011.

  93. S. Saha and S. Bandyopadhyay, “On Principal Axis Based Line Symmetry Clustering Techniques”, Memetic Computing, vol. 3, no. 2, pp. 129-144, 2011.

  94. S. Bandyopadhyay and M. Bhattacharyya, “A Biologically Inspired Measure for Co-expression Analysis”, IEEE Transactions on Computational Biology and Bioinformatics, vol. 8, no. 4, pp. 929- 942, 2011. [Click to send email for a copy of the paper]

  95. U. Maulik, M. Bhattacharyya, A. Mukhopadhyay and S. Bandyopadhyay, “Identifying the Immunodeficiency Gateway Proteins in Human and their Involvement in MicroRNA Regulation”, Molecular BioSystems, vol. 7, no. 6, pp. 1842-1851, 2011.

  96. D. Sengupta and S. Bandyopadhyay, “Participation of MicroRNAs in Human Interactome: Extraction of MicroRNA-MicroRNA Regulations”, Molecular BioSystems, vol. 7, pp. 1966-1973, DOI: 10.1039/C0MB00347F, 2011.

  97. S. Saha and S. Bandyopadhyay, “Use of Different Forms of Symmetry and Multiobjective Optimization for Automatic Pixel Classification in Remote Sensing Satellite Imagery”, International Journal of Remote Sensing, (accepted).

  98. S. Saha and S. Bandyopadhyay, “A Multiseed Based Multiobjective Clustering Approach for Automatic MR Brain Image Segmentation”, Applied Intelligence (accepted).

  99. I. Saha and D. Plewczynski and U. Maulik and S. Bandyopadhyay, “Improved Differential Evolution for Microarray Analysis”, International Journal of Data Mining and Bioinformatics (accepted).

  100. I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski “SVMeFC: SVM Ensemble Fuzzy Clustering for Satellite Image Segmentation”, IEEE Geoscience and Remote Sensing Letters, 2011 (accepted).

  101. I. Saha, U. Maulik, S. Bandyopadhyay and D. Plewczynski, “Improvement of New Automatic Differential Fuzzy Clustering using SVM Classifier for Microarray Analysis”, Expert Systems with Applications, 2011 (in press).

  102. S. Bandyopadhyay, “Multiobjective Simulated Annealing for Fuzzy Clustering Using Stability and Validity”, IEEE Transactions on Systems, Man and Cybernetics - C (accepted).

  103. S. Bandyopadhyay, “Genetic Algorithms for Hard and Fuzzy Clustering”, WIREs Data Mining and Knowledge Discovery, (accepted).