1. ,"Multimodal optimization using a bi-objective differential evolution algorithm enhanced with mean distance based selection", IEEE Transactions on Evolutionary Computation, DOI: 10.1109/TEVC.2012.2231685.

  2. 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, DOI: 10.1109/TEVC.2012.2231685.

  3. Aniruddha Basak, Dipankar Maity, and Swagatam Das,"A Differential Invasive Weed Optimization Algorithm for Improved Global Numerical Optimization", Applied Mathematics and Computation, Elsevier, Accepted 2013.

  4. Swagatam Das, Rammohan Mallipeddi, and Dipankar Maity,"Adaptive Evolutionary Programming with p-best Mutation Strategy", Swarm and Evolutionary Computation, Elsevier, (Accepted, 2012).

  5. 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, Part - A, Accepted, 2012.

  6. Udit Halder, Swagatam Das, and Dipankar Maity, "A Cluster-based Differential Evolution Algorithm with External Archive for Optimization in Dynamic Environments", IEEE Transactions on Systems, Man, and Cybernetics, Part - B, Accepted, 2012.

  7. 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.

  8. 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, Vol. 42, No. 1, pp. 609 - 611, Aug. 2012.

  9. 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, Accepted, 2012.

  10. 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, Accepted, 2012. DOI: http://dx.doi.org/10.1016/j.engappai.2012.05.018..

  11. 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, Accepted, 2012.

  12. B. -Y Qu, P. N. Suganthan and Swagatam Das, “A distance-based locally informed particle swarm model for multi-modal optimization”, accepted by IEEE Transactions on Evolutionary Computation, 2012.

  13. Md. Nasir, Swagatam Das, Soumyadip Sengupta, Athanasios V. Vasilakos, and Witold Pedrycz, “An evolutionary multi-objective sleep scheduling scheme for differentiated coverage in wireless sensor networks”, IEEE Transactions on Systems, Man and Cybernetics (SMC) Part – C,Vol. 42, Issue 6, pp. 1093 - 1102, 2012.

  14. Swagatam Das, Udit Halder, and Dipankar Maity, “Chaotic dynamic characteristics of social foraging swarms – an analysis”, IEEE Transactions on Systems, Man and Cybernetics (SMC) Part – B, Vol 42, No. 4, pp. 1288 - 1293, Aug. 2012.

  15. Subhrajit Roy, Sk. Minhazul Islam, Swagatam Das, Saurav Ghosh, and A. V. Vasilakos, “A simulated weed colony system with sub-regional differential evolution for multimodal optimization”, Engineering Optimization, Taylor and Francis, (Accepted, 2012).

  16. 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, Vol. 209, 20 Pages 16–36, Nov. 2012.

  17. Tribeni P. Banerjee and Swagatam Das, “A support vector machine based multi-sensor data fusion for motor fault detection”, Information Sciences, Elsevier, Volume 217, Pages 96–107, Dec. 2012.

  18. 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, 42(2): 482 -500, 2012.

  19. Sayan Ghosh, Swagatam Das, Athanasios 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, 42(1): 107-124, 2012.

  20. 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, Springer, 21(2): 237-250, 2012.

  21. 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.

  22. 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), Vol. 125, page 439-457, 2012.

  23. Ankush Mandal and Swagatam Das, “Design of dual pattern concentric ring array antenna using differential evolution algorithm with novel evolutionary operators”, Progress in Electromagnetics Research M, Vol. 22, 163-178, 2012.

  24. 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, 182(1), pp. 199-219, 2012.

  25. 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, 182(1), pp. 156-168, 2012.

  26. Swagatam Das, P. N. Suganthan, and Carlos A. Coello Coello, “Guest Editorial - Special Issue on Differential Evolution”, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 1, pp. 1 – 3, Feb. 2011.

  27. 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 – A, Vol. 41, No. 2, pp 331 – 337, 2011.

  28. 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 , Vol. 41, No. 1, pp. 89 – 106, 2011.

  29. Swagatam Das and P. N. Suganthan, “Differential evolution – a survey of the state-of-the-art”, IEEE Transactions on Evolutionary Computation, Vol. 15, No. 1, pp. 4 – 31, Feb. 2011.

  30. 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, Vol. 59, No. 1, pp. 110 – 118, Jan. 2011.

  31. 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.

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

  33. 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.

  34. Mrutyunjaya Panda, Ajith Abraham, Swagatam Das, and Manas Ranjan Patra, “Network intrusion detection system: A machine learning approach”, Intelligent Decision Technologies, 5(4): 347-356, 2011.

  35. S. Z. Zhao, P. N. Suganthan, Swagatam Das, "Self-adaptive Differential Evolution with Multi-trajectory Search for Large Scale Optimization," Soft Computing Journal, Springer, Accepted, 15: 2175 – 2185, 2011, DOI: 10.1007/s00500-010-0645-4.

  36. Prithwish Chakraborty, Swagatam Das, Gourab Ghosh Roy and Ajith Abraham, “On Convergence of the Multi-objective Particle Swarm Optimizers”, Information Sciences, Volume 181, Issue 8, 15 April 2011, Pages 1411-1425.

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

  38. Arnob Ghosh, Swagatam Das, Aritra Chowdhury, and Ritwik Giri, “An ecologically inspired direct search method for solving optimal control problems with Bézier parameterization”, Engineering Applications of Artificial Intelligence, Elsevier Science Vol. 24, No. 7, pp. 1195–1203, Oct. 2011.

  39. 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, Taylor & Francis, Volume 39, Issue 8, 2011, Pages 751 - 767.

  40. Tribeni Banerjee, Amit Konar, Swagatam Das, and Ajith Abraham, “An intelligent loss less data compressor implementation using reconfigurable hardware”, Journal of Information Hiding and Multimedia Signal Processing, Ubiquitous International, Vol. 2, No. 1, Jan. 2011.

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

  42. 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.

  43. 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.

  44. 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, Elsevier, Vol. 52, Issue 2, pp. 1334-1342, Feb. 2011.

  45. 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.

  46. 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.

  47. 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, Elsevier Vol. 35, Issue 12, Pages 4761-4770, Dec. 2010.

  48. 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.

  49. Gourab Ghosh Roy, Prithwish Chakraborty, and Swagatam Das, “Designing fractional-order PIλDµ controller using differential harmony search algorithm”, International Journal of Bio-inspired Computing, Vol. 2, No. 5, pp. 303-309, Oct. 2010.

  50. Swagatam Das and Sudeshna Sil, “Kernel-induced Fuzzy Clustering of Image Pixels with an Improved Differential Evolution Algorithm”, Information Sciences, Elsevier, Vol. 180, 8 1237-1256, Apr. 2010.

  51. 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.

  52. 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.

  53. Arijit Biswas, Sambarta Dasgupta, Swagatam Das, and Ajith Abraham, “analysis of the reproduction operator in an artificial bacterial foraging System”, Applied Mathematics and Computation, Elsevier Science, Vol. 215, No. 9, 1 January 2010, Pages 3343-3355.

  54. 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.

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

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

  57. Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, Dhaval Jain, and Ajith Abraham, “An improved harmony search algorithm with differential mutation operator”, Fundamenta Informaticae, IOS Press 95, 4 (Dec. 2009), 401-426.

  58. 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, Vol. 39, Issue 3, pp. 670 – 679, 2009.

  59. 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, IOS Press, Netherlands, Vol. 22(1), pp. 1 – 20, 2009.

  60. Swagatam Das and Amit Konar, “Automatic image pixel clustering with an improved differential evolution”, Applied Soft Computing Journal, Elsevier Science, Vol. 9, Issue 1, Jan. 2009, pp. 226 - 236.

  61. 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, Vol. 13, Issue 3, Page(s): 526-553, June, 2009.

  62. Sambarta Dasgupta, Swagatam Das, Ajith Abraham, and Arijit Biswas, “Adaptive computational chemotaxis in bacterial foraging optimization: an analysis”, IEEE Transactions on Evolutionary Computing, Vol. 13, Issue 4, Page(s): 919 – 941, 2009.

  63. Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das, Ajith Abraham, and Sang Yong Han, “Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis”, Sensors, 9(5), 3981 – 4004, 2009.

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

  65. Sambarta Dasgupta, Swagatam Das, Ajith Abraham, and Arijit Biswas, Automatic “Circle detection on digital images using an adaptive bacterial foraging algorithm”, to appear in Soft Computing: Soft Computing - A Fusion of Foundations, Methodologies and Applications, Springer, Volume 14, Number 11, 1151-1164 2009.

  66. 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, Elsevier Science, Vol. 22, Issue 2, Pages 343-350, March 2009.

  67. Swagatam Das, Ajith Abraham, and Amit Konar, “Automatic clustering using an improved differential evolution algorithm”, IEEE Transactions on Systems Man and Cybernetics - Part A, Vol. 38, No. 1, January 2008, pp. 218 - 237.

  68. Swagatam Das, Ajith Abraham and Amit Konar, “Automatic kernel clustering with multi-elitist particle swarm optimization algorithm”, Pattern Recognition Letters, Elsevier Science, Volume 29, 2008, pp. 688-699.

  69. 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.

  70. Swagatam Das and Amit Konar, “A swarm intelligence approach to the synthesis of two-dimensional IIR filters”, Engineering Applications of Artificial Intelligence, Elsevier Science, Vol. 20, Issue 8, 2007, pp.1023-1162.

  71. 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.