International Journal Articles (Accepted/Published)
  1. Nimagna Biswas, Saurajit Chakraborty, Sankha Subhra Mullick and Swagatam Das, "A parameter independent fuzzy weighted k-nearest neighbor classifier", Pattern Recognition Letters (Impact Factor 1.995), DOI: https://doi.org/10.1016/j.patrec.2017.09.025, Accepted, 2017.

  2. Arka Ghosh, Swagatam Das, Rammohan Mallipeddi, Asit Kr. Das and Subhransu S. Dash"A modified differential evolution with distance-based selection for continuous optimization in presence of noise", IEEE Access (Impact Factor 3.244), DOI:10.1109/ACCESS.2017.2773825, Accepted, 2017.

  3. Saptarshi Chakraborty and Swagatam Das, "k-Means clustering with a new divergence-based distance metric: convergence and performance analysis", Pattern Recognition Letters (Impact Factor 1.995), DOI: https://doi.org/10.1016/j.patrec.2017.09.025, Accepted, 2017.

  4. Arkajyoti Saha and Swagatam Das, "On the unification of possibilistic fuzzy clustering: Axiomatic development and convergence analysis",Fuzzy Sets and Systems (Impact Factor 2.718), DOI:https://doi.org/10.1016/j.fss.2017.07.005, Accepted, 2017.

  5. Arkajyoti Saha and Swagatam Das, "Feature weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective", Machine Learning (Impact Factor 1.719), Springer, Vol. 106, Issue 7, pp 951-992, 2017.

  6. Shounak Datta, Sankha Subhra Mullick, and Swagatam Das, "Generalized mean based back-propagation of errors for ambiguity resolution", Pattern Recognition Letters (Impact Factor: 1.586), Vol. 94, Pages 22-29, 2017.

  7. Ayan Das and Swagatam Das, "Feature weighting and selection with a Pareto-optimal trade-off between relevancy and redundancy", Pattern Recognition Letters Vol. 88, pp. 12-19, 2017.

  8. Arkajyoti Saha and Swagatam Das, "Axiomatic generalization of the membership degree based weighting function for Fuzzy C Means clustering: theoretical development and convergence analysis", Information Sciences (Impact Factor: 4.832), Vol. 408, Pages 129-145, 2017.

  9. Shounak Datta, Abhiroop Ghosh, Krishnendu Sanyal, and Swagatam Das, "A radial boundary intersection aided interior point method for multi-objective optimization", Information Sciences (Impact Factor 3.364), Vol. 377, Pages 1-16, 20 Jan. 2017.

  10. Chiranjib Saha, Swagatam Das, Kunal Pal, and Satrajit Mukherjee, "Fuzzy Rule-Based Penalty Function Approach for Constrained Optimization", IEEE Transactions on Cybenetics, (Impact Factor 4.943), Vol. 46, No. 12, pp. 2953-2965, 2016.

  11. Arkajyoti Saha and Swagatam Das, "Optimizing cluster structures with inner product induced norm-based dissimilarity measures: theoretical development and convergence analysis ", Information Sciences, (Impact Factor 3.364), DOI:10.1016/j.ins.2016.08.058, Accepted, 2016.

  12. Shounak Datta, Debaleena Misra and Swagatam Das, "A feature weighted penalty based dissimilarity measure for k-Nearest neighbor classification with missing features", Pattern Recognition Letters, (Impact Factor 1.586), Vol. 80, Pages 231-237, Sept., 2016.

  13. Arkajyoti Saha and Swagatam Das, "Geometric divergence based fuzzy clustering with strong resilience to noise features", Pattern Recognition Letters, (Impact Factor 1.586), Vol. 79, Pages 60-67, 1 August, 2016.

  14. Rohan Mukherjee, Shantanab Debchoudhury and Swagatam Das, "Modified differential evolution with locality induced genetic operators for dynamic optimization", European Journal of Operational Research, (Impact Factor 2.358), Vol. 253, No. 2, Pages 337-355, 2016.

  15. Deep Kiran, B. K Panigrahi, Swagatam Das and Nitesh Kumar, "Linkage based deferred acceptance optimization", Information Sciences, (Impact Factor 4.038), Volumes 349–350, Pages 65-76, 2016.

  16. Swagatam Das, Sankha S. Mullick and P. N. Suganthan, "Recent advances in differential evolution - an updated survey", Swarm and Evolutionary Computation, Elsevier, Vol. 27, Pages 1-30, 2016.

  17. Soham Sarkar, Swagatam Das and Sheli Sinha Chaudhuri, "Hyper-spectral image segmentation using Rényi entropy based multi-level thresholding aided with differential evolution", Expert Systems with Applications, DOI: 10.1016/j.eswa.2015.11.016 (Impact Factor 2.07; h-5 index 91), Vol. 50, Pages 120-129, 2016.

  18. Ritambhar Burman, Soumyadeep Chakrabarti, and Swagatam Das, "Democracy-inspired particle swarm optimizer with the concept of peer groups", Soft Computing (Impact Factor 1.271; h-5 index 35), Springer, DOI 10.1007/s00500-015-2007-8, Accepted, 2015.

  19. Shounak Datta and Swagatam Das, "Near-Bayesian support vector machines for imbalanced data classification with equal or unequal misclassication costs", Neural Networks (Elsevier), Vol. 70, pp. 39-52, (Impact Factor: 2.708), 2015.

  20. Sujoy Paul and Swagatam Das, "Simultaneous feature selection and weighting - an evolutionary multi-objective optimization approach", Pattern Recognition Letters (Impact Factor: 1.551, h-5 index 46), Vol. 65, 1 Pages 51-59, 2015.

  21. Swagatam Das, "Chaotic patterns in the discrete time dynamics of social foraging swarms with attractant-repellent profiles - an analysis", Nonlinear Dynamics, DOI: 10.1007/s11071-015-2247-2, Springer, (Impact Factor 2.849, h-5 index 45), Vo. 82, pages 1399-1417, 2015.

  22. Arkajyoti Saha and Swagatam Das, "Automated feature weighting in clustering with separable distances and inner product induced norms - a theoretical generalization", Pattern Recognition Letters (Impact Factor 1.551, h-5 index 46), Vol. 63, Pages 50-58, 2015.

  23. Subhodip Biswas, Souvik Kundu, and Swagatam Das, "Inducing Niching Behavior in Differential Evolution through Local Information Sharing", IEEE Trans. Evolutionary Computation (Impact Factor 5.545), Vol. 19, Issue 2, pp. 246-263, 2015.

  24. Arkajyoti Saha and Swagatam Das, "Categorical Fuzzy k-Modes Clustering with Automated Feature Weight Learning", Neurocomputing, (Impact Factor: 2.005), Vol.166, pp. 422-435, 2015.

  25. Preetam Dasgupta and Swagatam Das, " A Discrete Inter-Species Cuckoo Search for flowshop scheduling problems", Computers & Operations Research, (Impact Factor: 1.718), Vol. 60, Pages 111-120, August 2015.

  26. Soham Sarkar, Swagatam Das and Sheli Sinha Choudhury, "A multilevel color image thresholding scheme based on minimum cross entropy and differential evolution", Pattern Recognition Letters (Impact Factor 1.062), vol 54, pp 27-35, 2015.

  27. Shubhajeet Chatterjee and Swagatam Das, "Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network", Information Sciences (Impact Factor 3.893), Vol. 295, pp. 67-90, 2015.

  28. Souvik Kundu, Swagatam Das, Athanasios V. Vasilakos, and Subhodip Biswas, "A modified differential evolution-based combined routing and sleep scheduling scheme for lifetime maximization of wireless sensor networks", Soft Computing (Impact Factor 1.304), Vol. 19, No. 3, pp. 637-659, 2015.

  29. Swagatam Das, Subhodip Biswas, B. K. Panigrahi, Souvik Kundu, and Debabrota Basu, "A Spatially Informative Optic Flow Model of Bee Colony With Saccadic Flight Strategy for Global Optimization", IEEE Transactions on Cybernetics (Impact Factor 3.08), DOI: 10.1109/TCYB.2014.2298916, Vol. 44, No. 10, pp. 1884-1897, 2014.

  30. Miguel A. Medina, Swagatam Das, Carlos A. Coello Coello, and Juan M. Ramírez, "Decomposition-based Modern Metaheuristic Algorithms for Multi-Objective Optimal Power Flow--A Comparative Study", Engineering Applications of Artificial Intelligence (Impact Factor 1.625), DOI: 10.1016/j.engappai.2014.01.016, Vol. 32, pp. 10-20, 2014.

  31. Rohan Mukherjee, Gyana Ranjan Patra, Rupam Kundu, and Swagatam Das, "Cluster-based Differential Evolution with Crowding Archive for Niching in Dynamic Environments", Information Sciences (Impact Factor 3.643), Vol. 267, pp. 58-82, 2014.

  32. Swagatam Das, Debdipta Goswami,Sarthak Chatterjee and Sudipto Mukherjee, "Stability and Chaos Analysis of A Novel Swarm Dynamics with Applications to Multi-agent Systems", Engineering Applications of Artificial Intelligence (Impact Factor 1.625), Vol. 30, pp. 189-198, 2014.

  33. Sarthak Chatterjee, Debdipta Goswami, Sudipto Mukherjee, and Swagatam Das, " Behavioral analysis of the leader particle during stagnation in a particle swarm optimization algorithm", Information Sciences (Impact Factor 3.643), Vol. 279, pp. 18-36 , 2014.

  34. Subhodip Biswas, Swagatam Das, Shantanab Debchoudhury, and Souvik Kundu, " Co-evolving bee colonies by forager migration: A multi-swarm based artificial bee colony algorithm for global search space", Applied Mathematics and Computation (Impact Factor 1.349), Vol. 232, pp. 216-234, 2014.

  35. Faruk Ahmed and Swagatam Das, "Removal of high density salt-and-pepper noise in images with an iterative adaptive fuzzy filter using alpha-trimmed mean", IEEE Trans. on Fuzzy Systems (Impact Factor 6.306), Vol. 22, No. 5, pp. 1352-1358, 2014.

  36. Subhodip Biswas, Souvik Kundu, and Swagatam Das, "An Improved Parent-Centric Mutation with Normalized Neighborhoods for Inducing Niching Behavior in Differential Evolution", IEEE Transactions on Cybernetics (2011 Impact Factor 3.08), Vol. 44, No. 10, pp. 1726-1737, 2014.

  37. Soham Sarkar and Swagatam Das, Multi-level image thresholding based on two-dimensional histogram and maximum tsallis entropy - a differential evolution approach, IEEE Transactions on Image Processing (Impact Factor 3.199), Vol. 22, Issue 12, pp. 4788-4797, 2013. 

  38. Swagatam Das, Ankush Mandal, and Rohan Mukherjee, An adaptive differential evolution algorithm for global optimization in dynamic environments, IEEE Transactions on Cybernetics (2011 Impact Factor 3.08), Vol. 44, No. 6, pp. 966-978, 2014. 

  39. Pratyusha Rakshit, Amit Konar, Swagatam Das, Lakhmi C. Jain, and Atulya K. Nagar,  "Uncertainty management in differential evolution induced multi-objective optimization in presence of measurement noise",  IEEE Transactions on Systems, Man and Cybernetics: Systems (2011 Impact Factor 2.123),Vol. 44, No. 7, pp. 922-937, 2014. 

  40. Aniruddha Basak, Swagatam Das, and Kay Chen Tan, "Multimodal optimization using a bi-objective differential evolution algorithm enhanced with mean distance based selection", IEEE Transactions on Evolutionary Computation (Impact Factor 4.81), Vol. 17, No. 5, Sept. 2013. 

  41. Swagatam Das, Subhodip Biswas, and Souvik Kundu, Synergizing fitness learning with proximity-based food source selection in artificial bee colony algorithm for numerical optimization, Applied Soft Computing (Impact Factor 2.140), Vol. 13, Issue 12, Dec. 2013, Pages 4676-4694. 

  42. Subhodip Biswas, Swagatam Das, Souvik Kundu, Gyana Ranjan Patra, "Utilizing time-linkage property in DOPs: An information sharing based Artificial Bee Colony algorithm for tracking multiple optima in uncertain environments", Soft Computing (Impact Factor 1.124), DOI: 10.1007/s00500-013-1138-z, 2013. 

  43. Rupam Kundu, Swagatam Das, and Rohan Mukherjee, An improved particle swarm optimizer with difference mean based perturbation, Neurocomputing (Impact Factor 1.634), Accepted, 2013. 

  44. Arkabandhu Chowdhury, Arnab Ghosh, Swagatam Das, Avishek Ghosh, "A novel genetic algorithm to solve travelling salesman problem and blocking flow shop scheduling problem", International Journal of Bio-inspired Computing (Impact Factor 1.315), 2013 (in Press). 

  45. Aniruddha Basak, Dipankar Maity, and Swagatam Das, "A differential invasive weed optimization algorithm for improved global numerical optimization", Applied Mathematics and Computation (Impact Factor 1.317), Elsevier, 219(12): 6645-6668, 2013. 

  46. B. -Y Qu, P. N. Suganthan, and Swagatam Das, A distance-based locally informed particle swarm model for multi-modal optimization, IEEE Trans on Evolutionary Computation (Impact Factor 4.81), Vol. 17, No. 3, pp. 387- 402, 2013. 

  47. Pratyusha Rakshit, Amit Konar, Pavel Bhowmik, Swagatam Das, Lakhmi C. Jain, and Atulya K. Nagar, "Realization of an adaptive memetic algorithm using differential evolution and Q-learning: a case study in multi-robot path-planning", IEEE Transactions on Systems, Man and Cybernetics: Systems (2011 Impact Facto 2.123), Vol. 43, No. 4, pp. 814-831, 2013.  

  48. Udit Halder, Swagatam Das, and Dipankar Maity, "A cluster-based differential evolution algorithm with external archive for optimization in dynamic environments", IEEE Transactions on Cybernetics (2011 Impact Factor 3.08), Vol. 43, No. 3, pp. 881-897, 2013.  

  49. Md. Nasir, Swagatam Das, Soumyadip Sengupta, Athanasios V. Vasilakos, and WitoldPedrycz, An evolutionary multi-objective sleep scheduling scheme for differentiated coverage in wireless sensor networks, IEEE Transactions on Systems, Man and Cybernetics (SMC) Part C, (Impact Factor 2.105) ,42(6): 1093-1102,  (2012). 

  50. Pradipta Ghosh, Swagatam Das, and Hamim Zafar, "Adaptive differential evolution based design of two-channel quadrature mirror filter banks for sub-band coding and data transmission", IEEE Transactions on Systems, Man, and Cybernetics, Part - C, (Impact Factor 2.105) 42(6): 1613-1623 (2012). 

  51. Soumyadip Sengupta, Swagatam Das, Md. Nasir, and B. K. Panigrahi, "Multi-objective node deployment in WSNs: In search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity", Engineering Applications of Artificial Intelligence,(Impact Factor 1.844),26(1): 405-416 (2013). 

  52. Soumyadip Sengupta, Swagatam Das, Md. Nasir and P. N. Suganthan, Risk minimization in biometric sensor networks an evolutionary multi-objective optimization approach, Soft Computing, Springer, (Impact Factor 1.880), 17(1): 133-144 (2013). 

  53. Swagatam Das, Rammohan Mallipeddi, and Dipankar Maity, "Adaptive Evolutionary Programming with p-best Mutation Strategy", Swarm and Evolutionary Computation, Elsevier,Vol. 9, Pages 58-68, April 2013. 

  54. Md. Nasir, D. Maity, Swagatam Das, S.  Sengupta, U. Haldar, and P. N.  Suganthan, "A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization," Information Sciences, (Impact Factor 3.643), Vol. 209, 20 Pages 16-36, Nov. 2012. 

  55. Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, and Saurav Ghosh, "Multimodal optimization by niching weed colonies enhanced with localized group search optimizers", Applied Soft Computing, Vol. 13, No. 1, pp. 27 - 46, 2013. 

  56. Tribeni P. Banerjee and Swagatam Das, A support vector machine based multi-sensor data fusion for motor fault detection, Information Sciences, (Impact Factor 3.643), Vol. 217, Pages 96-107, Dec. 2012. 

  57. Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh, Subhrajit Roy, and P. N. Suganthan, An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization, IEEE Transactions on Systems, Man and Cybernetics (SMC) Part B (Impact Factor 3.08), 42(2): 482 -500, 2012. 

  58. Sayan Ghosh, Swagatam Das, A. V. Vasilakos, and Kaushik Suresh, On convergence of differential evolution over a class of continuous functions with unique global optimum, IEEE Transactions on Systems, Man and Cybernetics (SMC) Part B, (Impact Factor 3.08), 42(1): 107-124, 2012. 

  59. Sayan Ghosh, Swagatam Das, Debarati Kundu, Kaushik Suresh, Bijaya K. Panigrahi, Zhihua Cui, An inertia-adaptive particle swarm system with particle mobility factor for improved global optimization, Neural Computing and Applications, (Impact Factor 0.699), Springer, 21(2): 237-250, 2012. 

  60. Aritra Chowdhury and Swagatam Das, Automatic shape independent clustering inspired by ant dynamics, Swarm and Evolutionary Computation, Elsevier, Vol. 3, pp. 33 - 45, April, 2012. 

  61. Swagatam Das and Meng Hiot Lim, "Guest Editorial: Special Issue on Engineering Applications of Memetic Computing", IEEE Transactions on Systems, Man, and Cybernetics, Part - C, (Impact Factor 2.105), Vol. 42, No. 1, pp. 609 - 611, Aug. 2012. 

  62. Ankush Mandal, Hamim Zafar, Swagatam Das, and Athanasios V. Vasilakos, a modified differential evolution algorithm for shaped beam linear array antenna design, Progress in Electromagnetics Research (PIER) (Impact Factor 5.298), Vol. 125, page 439-457, 2012. 

  63. Saurav Ghosh, Swagatam Das, Subhrajit Roy, S. K. Minhazul Islam, and P. N. Suganthan, A differential covariance matrix adaptation evolutionary algorithm for real parameter optimization, Information Sciences (Impact Factor 3.643), 182(1), pp. 199-219, 2012. 

  64. Sayan Ghosh, Swagatam Das, Debarati Kundu, Kaushik Suresh, and Ajith Abraham, Inter-particle communication and search-dynamics of lbest particle swarm optimizers: an analysis, Information Sciences(Impact Factor 3.643), 182(1), pp. 156-168, 2012. 

  65. Abhishek Sinha, Swagatam Das, and B. K. Panigrahi, On some properties of the island biogeography system, IEEE Transactions on Systems, Man and Cybernetics (SMC), Part (Impact Factor 2.1), Vol. 41, No. 2, pp 331-337, 2011. 

  66. Swagatam Das, Arpan Mukhopadhyay, Anwith Roy, Ajith Abraham, and B. K. Panigrahi, On exploratory power of the harmony search algorithm: analysis and improvements for global numerical optimization, IEEE Transactions on Systems, Man and Cybernetics (SMC) Part B (Impact Factor 3.08), Vol. 41, No. 1, pp. 89-106, 2011. 

  67. Swagatam Das and P. N. Suganthan, Differential evolution a survey of the state-of-the-art, IEEE Transactions on Evolutionary Computation (Impact Factor 3.341), Vol. 15, No. 1, pp. 4-31, Feb. 2011. 

  68. Swagatam Das, Ponnuthurai Nagaratnam Suganthan, C. A. Coello Coello, Guest Editorial - Special Issue on Differential Evolution, IEEE Trans. Evolutionary Computation, (Impact Factor 4.81), 15(1), pp. 1-3, 2011. 

  69. Gourab Ghosh Roy, Swagatam Das, Prithwish Chakraborty, and P. N. Suganthan, Design of non-uniform circular antenna arrays using a modified invasive weed optimization algorithm, IEEE Transactions on Antenna and Propagation (Impact Factor 2.331), Vol. 59, No. 1, pp. 110-118, Jan. 2011. 

  70. Swagatam Das, Sayan Maity, Bo-Yang Qu, and P. N. Suganthan, "Real-parameter evolutionary multimodal optimization - a survey of the state-of-the-art",  Swarm and Evolutionary Computation, Elsevier, Vol. 1, No. 2,  pp. 71-88, June, 2011. 

  71. Pradipta Ghosh and Swagatam Das, Synthesis of thinned planar concentric circular antenna arrays - a differential evolutionary approach, Progress in Electromagnetics Research B,Vol. 29, 63-82, 2011. 

  72. S. Roy, Sk. M. Islam, S. Ghosh, Swagatam Das and Ajith Abraham, An adaptive differential evolution algorithm for autonomous deployment and localization of sensor nodes, Progress In Electromagnetics Research B, Vol. 29, 289 - 309, 2011. 

  73. S. Z. Zhao, P. N. Suganthan, Swagatam Das, "Self-adaptive differential evolution with multi-trajectory search for large scale optimization, Soft Computing (Impact Factor 1.880), Springer, Vol. 15: 2175-2185, 2011. 

  74. Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy, and Ajith Abraham, On convergence of the multi-objective particle swarm optimizers, Information Sciences (Impact Factor 3.643), Volume 181, Issue 8, 15 April 2011, Pages 1411-1425. 

  75. Arnob Ghosh, Swagatam Das, Aritra Chowdhury, and Ritwik Giri, Differential Evolution with a Fitness-based Adaptation of Control Parameters, Information Sciences (Impact Factor 3.643), Elsevier Science, 181(18), pp. 3749-3765, 2011. 

  76. Arnob Ghosh, Swagatam Das, Aritra Chowdhury, and Ritwik Giri, An ecologically inspired direct search method for solving optimal control problems with Bezier parameterization, Engineering Applications of Artificial Intelligence (Impact Factor 1.844), Elsevier Science Vol. 24, No. 7, pp. 1195-1203, Oct. 2011. 

  77. V. Ravikumar Pandi, B. K. Panigrahi, Ramesh C. Bansal, Swagatam Das, and Ankita Mohapatra, "Economic load dispatch using hybrid swarm intelligence based harmony search algorithm", Electric Power Components & Systems (Impact Factor 0.681), Taylor & Francis, Volume 39, Issue 8, Pages 751-767, 2011. 

  78. Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, B. K. Panigrahi, and Sanjoy Das, Multi-objective optimization with artificial weed colonies, Information Sciences (Impact Factor 3.64), Elsevier Science, Vol. 181, Issue 12, Pages 2441-2454, June, 2011. 

  79. Siddharth Pal, Swagatam Das, and Aniruddha Basak, Design of time modulated linear arrays with a multi-objective optimization approach, Progress in Electromagnetics Research, PIERB,23, page 83-107, 2010. 

  80. N. R. Samal, Amit Konar, Swagatam Das, and A. Nagar, Parameter selection for a particle swarm optimization dynamics by closed loop stability analysis, International Journal of Computing Science and Mathematics, Vol. 3, No.3  pp. 245 274, 2010. 

  81. V. Ravikumar Pandi, B K Panigrahi, Renu Sharma, Swagatam Das and Sanjoy Das, Multiobjective bacteria foraging algorithm for electrical load dispatch problem, Energy Conversion and Management (Impact Factor 2.775), Elsevier, Vol. 52, Issue 2, pp. 1334-1342, Feb. 2011. 

  82. V. Ravikumar Pandi, S K Sinha, B. K. Panigrahi, and Swagatam Das, Optimal feature retrieval for classification of non - stationary power quality disturbances, International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 2, No. 3, pp. 211-222, 2010. 

  83. Siddharth Pal, Anniruddha Basak, and Swagatam Das, Linear antenna array synthesis with modified invasive weed optimization algorithm, International Journal of Bio-inspired Computing, Vol. 3, No.4, pp. 238 - 251, 2010. 

  84. B. K. Panigrahi, V. Ravikumar Pandi, Sanjoy Das and Swagatam Das, Multi objective fuzzy dominance based bacterial foraging algorithm to solve economic emission dispatch problem, Energy (Impact Factor 3.487), Elsevier Vol. 35, Issue 12, Pages 4761-4770, Dec. 2010. 

  85. Aritra Chowdhury, Arnob Ghosh, Ritwik Giri, and Swagatam Das, Optimization of antenna configuration with a fitness-adaptive differential evolution algorithm, Progress In Electromagnetics Research B, Vol. 26, 291-319, 2010. 

  86. Gourab Ghosh Roy, Prithwish Chakraborty, and Swagatam Das, Designing fractional-order PIDμ controller using differential harmony search algorithm, International Journal of Bio-inspired Computing (Impact Factor 1.351), Vol. 2, No. 5, pp. 303-309, Oct. 2010. 

  87. Swagatam Das and Sudeshna Sil, Kernel-induced Fuzzy Clustering of Image Pixels with an Improved Differential Evolution Algorithm, Information Sciences (Impact Factor 3.64), Elsevier, Vol. 180, 8 1237-1256, Apr. 2010. 

  88. Siddharth Pal, Q. Boyang, Swagatam Das, and P. N. Suganthan, "Optimal synthesis of linear antenna arrays with multi-objective differential evolution", Progress in Electromagnetics Research, PIERB 21, 87-111, 2010. 

  89. Siddharth Pal, Swagatam Das, Aniruddha Basak, and P. N. Suganthan, Synthesis of difference patterns for monopulse antennas with optimal combination of array-size and number of subarrays - a multi-objective optimization approach, Progress in Electromagnetics Research, PIERB, Vol. 21, 257-280, 2010. 

  90. Arijit Biswas, Sambarta Dasgupta, Swagatam Das, and Ajith Abraham, Analysis of the reproduction operator in an artificial bacterial foraging System, Applied Mathematics and Computation (Impact Factor 1.534), Elsevier Science, Vol. 215, No. 9, Pages 3343-3355, January 2010. 

  91. B. K. Panigrahi, V. Ravikumar Pandi, Swagatam Das, and Zhihua Cui, Dynamic economic load dispatch with wind energy using modified harmony search, International Journal of Bio-Inspired Computing, Vol. 2 Issue 3/4, May 2010. 

  92. Sayantani Bhattacharya, Amit Konar, Swagatam Das, and Sang Yong Han, A Lyapunov-Based Extension to Particle Swarm Dynamics for Continuous Function Optimization, Sensors (Impact Factor 1.771), 9(12), 9977-9997, 2009. 

  93. Arijit Biswas, Sambarta Dasgupta, Swagatam Das, and Ajith Abraham, Dynamics of reproduction in artificial bacterial foraging system: modeling and stability analysis, Theoretical Computer Science (Impact Factor 0.838), 411(21), pp. 2127-2139 Elsevier Science, 2010. 

  94. Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, and Ajith Abraham, An improved harmony search algorithm with differential mutation operator, Fundamenta Informaticae (Impact Factor 0.522), IOS Press 95, 4 (Dec. 2009), 401-426. 

  95. Swagatam Das, Sambarta Dasgupta, Arijit Biswas, Ajith Abraham, and Amit Konar, On stability of chemotactic dynamics in bacterial foraging optimization algorithm, IEEE Transactions on SMC, Part A (Impact Factor 2.1), Vol. 39, Issue 3, pp. 670- 679, 2009. 

  96. Sambarta Dasgupta, Arijit Biswas, Swagatam Das and Ajith Abraham, Modeling and analysis of the population dynamics of differential evolution algorithm, AI Communications - The European Journal on Artificial Intelligence (Impact Factor 0.837), IOS Press, Netherlands, Vol. 22(1), pp. 1-20, 2009. 

  97. Swagatam Das and Amit Konar, Automatic image pixel clustering with an improved differential evolution, Applied Soft Computing (Impact Factor 2.612), Vol. 9, Issue 1, Jan. 2009, pp. 226 - 236. 

  98. Swagatam Das, Amit Konar, Uday K. Chakraborty, and Ajith Abraham, Differential evolution with a neighborhood based mutation operator: a comparative study, IEEE Transactions on Evolutionary Computation (Impact Factor 4.81), Vol. 13, Issue 3, Page(s): 526-553, June, 2009. 

  99. Sambarta Dasgupta, Swagatam Das, Ajith Abraham, and Arijit Biswas, Adaptive computational chemotaxis in bacterial foraging optimization: an analysis, IEEE Transactions on Evolutionary Computation (Impact Factor 4.81), Vol. 13, Issue 4, Page(s): 919 941, 2009. 

  100. Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, and Sang Yong Han, Multi-objective differential evolution for automatic clustering with application to micro-array data analysis, Sensors (Impact Factor 1.771), 9(5), 3981-4004, 2009.  

  101. Debarati Kundu, Kaushk Suresh, Sayan Ghosh, Swagatam Das, and Ajith Abraham, Clustering using multi-objective differential evolution algorithms a comparative study, Fundamenta Informaticae (Impact Factor 0.522), IOS Press, 97 (4), pp. 381 - 403, 2009. 

  102. Sambarta Dasgupta, Swagatam Das, Ajith Abraham, and Arijit Biswas, Automatic circle detection on digital images using an adaptive bacterial foraging algorithm, Soft Computing (Impact Factor 1.512), Springer, Volume 14, Number 11, 1151-1164, 2009. 

  103. Swagatam Das, Arijit Biswas, Ajith Abraham and Sambarta Dasgupta, Design of fractional order PIλDμ  controllers with an improved differential evolution, Engineering Applications of Artificial Intelligence (Impact Factor 1.844), Elsevier Science, Vol. 22, Issue 2, Pages 343-350, March 2009. 

  104. Swagatam Das, Ajith Abraham, and Amit Konar, Automatic clustering using an improved differential evolution algorithm, IEEE Transactions on Systems Man and Cybernetics - Part A (Impact factor 2.1), Vol. 38, No. 1, January 2008, pp. 218 - 237. 

  105. Swagatam Das, Ajith Abraham and Amit Konar, Automatic kernel clustering with multi-elitist particle swarm optimization algorithm, Pattern Recognition Letters (Impact Factor 1.034), Elsevier Science, Volume 29, 2008, pp. 688-699. 

  106. Arijit Biswas, Sambarta Dasgupta, Swagatam Das and Ajith Abraham, A synergy of differential evolution and bacterial foraging optimization for faster global search, International Journal on Neural and Mass-Parallel Computing and Information Systems, Neural Network World, Vol. 17, No. 6, 2007, pp. 607-626. 

  107. Swagatam Das and Amit Konar, A swarm intelligence approach to the synthesis of two-dimensional IIR filters, Engineering Applications of Artificial Intelligence, (Impact Factor 1.844), Elsevier Science, Vol. 20, Issue 8, 2007, pp.1023-1162. 

  108. Swagatam Das and Amit Konar, Design of two dimensional IIR filters with modern search heuristics: a comparative study, International Journal of Computational Intelligence and Application, Vol.  6, Issue 3, pp 329-355, World Scientific Press, September, 2006.