"The production of useful work is strictly limited by the laws of thermodynamics. The production of useless work seems to be unlimited."

                                                                                                                                   Donald E. Simanek (1936- ),US physicist, educator, humorist


     Selected International Journal Articles:

  1.    Subhodip Biswas, Souvik Kundu, and Swagatam Das, "Inducing Niching Behavior in Differential Evolution through Local Information Sharing", IEEE Trans.                 Evolutionary Computation (Impact Factor 4.81), Accepted,DOI: 10.1109/TEVC.2014.2313659, 2014. (Supplementary Material, Draft Source Code)

  2.    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, Accepted, 2014.

  3.    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 5.484), Accepted, 2013. (Draft Source Codes with Test Images)

  4.   Rupam Kundu, Swagatam Das, Rohan Mukherjee, Shantanab Debchoudhury,  "An improved particle swarm optimizer with difference mean based perturbation",               Neurocomputing, Vol. 129, pp. 315-333, 2014, (Draft Source Code)

  5.   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), Accepted, 2013. (Supplementary Document,Draft Source Code)

 6.   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,                 Accepted, 2014.

 

7.    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), Accepted, DOI: 10.1109/TIP.2013.2277832, 2013.

 

8   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), Accepted, DOI: 10.1109/TCYB.2013.2278188, 2013. (Supplementary Document

      (Draft source code on GDBG benchmarks)

 

9.    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),Accepted, 2013.

            10.   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, pp. 666 - 686, 2013.

 

11.   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, No. 12, pp. 4676 - 4694, 2013. (Draft source code on CEC 2005 problems).

 

12.   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).

 

13.  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.

 

14.  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.

 

15.  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 Factor 2.123),            Vol.  43, No. 4, pp. 814 – 831, (Impact Factor 2.123), Jul. 2013.

 

16. 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.

 

17.  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).

 

18.  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).

 

19.   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).

 

20.  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).

 

21.  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.

 

22.  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, (Impact Factor 0.922), Taylor and Francis, Vol. 45, Issue 4, 2013.

 

23.  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(Impact Factor 3.08), Vol 42, No. 4, pp. 1288 - 1293, Aug. 2012.

 

24.  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. (Draft source code on CEC 2005 problems)

 

25.  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.

 

26. 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.

 

27.  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.

 

28. 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.

 

29.  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.

 

30.  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.

 

31.  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.

 

32.  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.

 

33. 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.

 

34.  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.

 

35.  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 (Impact Factor 2.1), Vol. 41, No. 2, pp 331 – 337, 2011.

 

36.   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.

 

37.   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.

 

38.  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.

 

39. 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.

 

40. 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.

 

41.  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.

 

42.   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.

 

43.  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.

 

44.  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.

 

45.  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.

 

46. 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 (Impact Factor 1.844), Elsevier Science Vol. 24, No. 7, pp. 1195–1203, Oct. 2011.

 

47.   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.

 

48.  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.

 

49. 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.

 

50.  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.

 

51.  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.

 

52.  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.

 

53.  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.

 

54.  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.

 

55. Gourab Ghosh Roy, Prithwish Chakraborty, and Swagatam Das, “Designing fractional-order PIλDµ 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.

 

56. 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.

 

57. 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.

 

58.  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.

 

59.  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.

 

60.  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.

 

61. 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.

 

62. 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.

 

63.  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.

 

64.  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.

 

65.  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.

 

66.  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.

 

67.  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.

 

68. 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.

 

69.  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.

 

70.  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.

 

71.  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.

 

72.  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.

 

73.  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.

 

74.  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.

 

75.  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.

 

76.  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.


76.  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.

  1.                
    
       Books Co-authored/Co-edited:         


                 1.   B. K. Panigrahi, Swagatam Das, Ponnuthurai Nagaratnam Suganthan, Pradipta Kumar Nanda (Eds.): Swarm, Evolutionary, and Memetic Computing - Third                                                    International Conference, SEMCCO 2012, Bhubaneswar, India, December 20-22, 2012. Proceedings.Lecture Notes in Computer Science 7677, Springer 2012.                                 

                 2.   B. K. Panigrahi, P. N. Suganthan, Swagatam Das, S. C. Satapathy (Eds.): Swarm, Evolutionary, and Memetic Computing - Second International Conference,                                              SEMCCO 2011, Visakhapatnam, Andhra Pradesh, India, December 19-21, 2011, Proceedings, Part I. Lecture Notes in Computer Science 7076, Springer 2011.

     3.    Kalyanmoy Deb, Varun Aggarwal, Arnab Bhattacharya, NirupamChakraborti, ParthaChakroborty, Swagatam Das, JoydeepDutta, Santosh K. Gupta, and Ashu Jain (Eds.),                         Proceedings of the Eighth Simulated Evolution and Learning (SEAL-2010) Conference, Lecture Notes in Computer Science (LNCS), Springer.

     5.    Y. Shi, M. H. Lim, B. K. Panigrahi, Swagatam Das, S. S. Dash, and P. N. Suganthan (Eds.), Proceedings of the First International Conference on Swarm and                                    Evolutionary Computation (SEMCCO 2010), Lecture Notes in Computer Science (LNCS), Springer.

     6.    B. K. Panigrahi, Ajith Abraham, and Swagatam Das (Eds.), Computational Intelligence in Power Systems, Studies in Computational Intelligence, Vol. 302, Springer,                       2010.

     7.    Swagatam Das, Ajith Abraham and AmitKonar, Metaheuristic Clustering, Studies in Computational Intelligence, Volume 178, Springer Verlag, Germany, 2009.


     Peer Reviewed Book Chapters:

1.   Swagatam Das, (2013), Evaluating the Evolutionary Algorithms – Classical Perspectives and Recent Trends, in Computational Intelligence, [Ed. Hisao Ishibuchi], in                            Encyclopedia  of Life Support Systems (EOLSS), Developed under the Auspices of the UNESCO, Eolss Publishers, Oxford ,UK, [http://www.eolss.net]


2.    B. K. Panigrahi, V. Ravikumar Pandi, Swagatam Das, and Ajith Abraham, A Bandwidth-Adaptive Harmony Search Algorithm to Solve Optimal power Flow Problems with               Non- smooth Cost Functions, in Z. W. Geem (Ed.), Recent Advances in Harmony Search Algorithm, Studies in Computational Intelligence, Springer, pp. 65-75, 2010.

 

3.    Debasish Datta, Amit Konar, Swagatam Das and B. K. Panigrahi, Gene Regulatory Network Identification from Gene Expression Time Series Data Using Swarm Intelligence,          Handbook of Swarm Intelligence - Adaptation, Learning, and Optimization, 2010, Volume 8, Part 4, 517-542.

 

4.   Swagatam Das, Ajith Abraham, and B. K. Panigrahi, An Introduction to Computational Intelligence, in U. Maulik, S. Bandyopadhyay and J. T. L. Wang (Eds.) Computational        Intelligence and Pattern Analysis in Biological Informatics, John Wiley, 2009.

 

5.   Swagatam Das, Arijit Biswas, Sambarta Dasgupta, and Ajith Abraham, The Bacterial Foraging Optimization – Algorithm, Analysis, and Applications, Foundations on                      Computational Intelligence, Aboul-Ella Hassanien and Ajith Abraham Eds., Studies in Computational Intelligence, Springer Verlag, Germany, 2008.

 

6.    Swagatam Das, Ajith Abraham, and Amit Konar, Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization                    Perspectives, Advances of Computational Intelligence in Industrial Systems, Ying Liu et al. (Eds.), Studies in Computational Intelligence, Springer Verlag, Germany, 2008.

 

7.   Ajith Abraham, Swagatam Das, and Sandip Roy, Swarm Intelligence Algorithms for Data Clustering, Soft Computing for Knowledge Discovery and Data Mining, Oded             Maimon and Lior Rokach (Eds.), Springer Verlag, Germany, ISBN 978-0-387-69934-9, pp. 279-313, 2007.

 

8.   Swagatam Das, Ajith Abraham, and Amit Konar, Swarm Intelligence Algorithms in Bioinformatics, Computational Intelligence in Bioinformatics, Arpad Kelemen et al.                (Eds.), Springer Verlag, Germany, 2007.

 

9.   Swagatam Das and Amit Konar, Swarm Intelligence in Production Management and Engineering, Handbook of Computational Intelligence in Manufacturing and                       Production Management, Dipak Laha and Purnendu Mandal Eds, IGI Global, November, 2007.

 

10.  Amit Konar and Swagatam Das, Introduction to Soft Computing, in Analysis of Biological Data: A Soft Computing Approach, edited by S. Bandyopadhyay, U. Maulik and         J. T. L. Wang, World Scientific Press, 2006.

 

Selected Refereed International Conferences/Symposia:

1.    Subhrajit Roy, Sk. Minhazul Islam, Saurav Das, Swagatam Das, and Ajith Abraham, Autonomous Deployment and Localization of Sensor Nodes with An Improved Differential Evolution Algorithm, Genetic and Evolutionary Computation Conference (GECCO), Dublin, Ireland, July 12 – 16, 2011.

 

2.     Md Nasir, A. K. Mondal, S. Sengupta, and Swagatam Das, An Improved Multiobjective Evolutionary Algorithm based on Decomposition with Fuzzy Dominance, IEEE Congress on Evolutionary Computation (CEC), New Orleans, USA, June 5-8, 2011.

 

3.    Saurav Ghosh, Subhrajit Roy, Swagatam Das, Ajith Abraham, and Sk. Minhazul Islam, Peak-to-Average Power Ratio Reduction In OFDM Systems Using an Adaptive Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC), New Orleans, USA, June 5-8, 2011.

 

4.    Pradipta Ghosh, Hamim Zafar, Swagatam Das, and Ajith Abraham, Hierarchical Dynamic Neighborhood Based Particle Swarm Optimization for Global Optimization, IEEE Congress on Evolutionary Computation (CEC), New Orleans, USA, June 5-8, 2011.

 

5.    Uday K. Chakraborty, Swagatam Das, Travis E. Abbott: Clustering in mobile ad hoc networks with differential evolution. IEEE Congress on Evolutionary Computation 2011: 2223-2228

 

6.    Ankush Mandal, Aveek Kumar Das, Prithwijit Mukherjee, Swagatam Das, and P. N. Suganthan, Modified Differential Evolution with Local Search Algorithm for Real World Optimization, IEEE Congress on Evolutionary Computation (CEC), New Orleans, USA, June 5-8, 2011.

 

7.    Sk. Minhazul Islam, Saurav Ghosh, Swagatam Das, Ajith Abraham, and Subhrajit Roy, A Modified Discrete Differential Evolution based TDMA Scheduling Scheme for Many to One Communications in Wireless Sensor Networks, IEEE Congress on Evolutionary Computation (CEC), New Orleans, USA, June 5-8, 2011.

 

8.    Subhrajit Roy, Sk. Minhazul Islam, Saurav Das, Swagatham Das, P. N. Suganthan, “A differential covariance matrix adaptation evolutionary algorithm for global optimization”, 2011 IEEE Symposium on Differential Evolution organized in IEEE Symposium Series in Computational Intelligence, Paris, France, 11 – 15 April, 2011.

 

9.    Sayan Maity, Soumen Sardar, Swagatham Das,  P. N. Suganthan, “Constrained Real Parameter Optimization with a Gradient Repair based Differential Evolution Algorithm”, 2011 IEEE Symposium on Differential Evolution organized in IEEE Symposium Series in Computational Intelligence, Paris, France, 11 – 15 April, 2011.

 

10. Siddharth Pal, Annirudha Basak, Swagatam Das, Automatic shape independent Shell Clustering using an Ant Based Approach, The Eighth International Conference on Simulated Evolution And Learning (SEAL-2010), 1-4 December, 2010, IIT Kanpur, India.

 

11. Siddharth Pal, Annirudha Basak, Swagatam Das, Synthesis of Difference Patterns for Monopulse Antenna Arrays – an Evolutionary Multi-objective Optimization Approach, The Eighth International Conference on Simulated Evolution And Learning (SEAL-2010), 1-4 December, 2010, IIT Kanpur, India.

 

12. Siddharth Pal, Annirudha Basak, Swagatam Das, Ajith Abraham and Vaclav Snasel, Automatic Shell Clustering – A Metaheuristic Approach, IEEE Conference on Systems, Man and Cybernetics (SMC 2010), Turkey, 2010.

 

13. Ritwik Giri, Aritra Chowdhury, Swagatam Das, Ajith Abraham, Vaclav Snasel and Arnob Ghosh. An Improved Invasive Weed Optimization Algorithm for Training of Feed-Forward Neural Networks, IEEE Conference on Systems, Man and Cybernetics (SMC 2010), Turkey, 2010.

 

14. Aritra Chowdhury, Arnob Ghosh, Swagatam Das, and Ajith Abraham, A Hybrid Evolutionary Direct Search Technique for Solving Optimal Control Problems, 10th International Conference on Hybrid Intelligent Systems (HIS 2010), Atlanta, USA.

 

15.  Aniruddha Basak, Siddharth Pal, Swagatam Das and Ajith Abraham, Circular Antenna Array Synthesis with a Differential Invasive Weed Optimization Algorithm, 10th International Conference on Hybrid Intelligent Systems (HIS 2010), Atlanta, USA.

 

16. Sayan Maity, Kumar Gunjan, and Swagatam Das, An Improved Evolutionary Programming with Voting and Elitist Dispersal Scheme,  International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India.

 

17.  Shi-Zheng Zhao, P. N. Suganthan and Swagatam Das, Self-adaptive Differential Evolution with Modified Multi-trajectory Search for CEC'2010 Large Scale Optimization, International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India.

 

18. Ritwik Giri, Arnob Ghosh, Aritra Chowdhury and Swagatam Das, Multi Sensor Fusion using Fitness Adaptive Differential Evolution, International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India.

 

19. Soham Sarkar and Swagatam Das, A Hybrid Particle Swarm with Differential Evolution Operator approach (DEPSO) for Linear Array Synthesis, International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India.

 

20. Siddharth Pal, Aniruddha Basak and Swagatam Das, Detection and Length Estimation of Linear Scratch on Solid Surfaces Using an Angle Constrained Ant Colony Technique, International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India.

 

21.  Aritra Chowdhury, Arnob Ghosh, Ritwik Giri and Swagatam Das, Electromagnetic Antenna Configuration Optimization using Fitness Adaptive Differential Evolution, International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India.

 

22. Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, B. K. Panigrahi and Swagatam Das, Offline Parameter Estimation of Induction Motor using a Meta heuristic Algorithm, International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO’10), LNCS, Springer, 16 – 19 Dec, 2010, Chennai, India

 

23. Aniruddha Basak, Siddharth Pal, Swagatam Das and Ajith Abraham, A Modified Invasive Weed Optimization Algorithm for Time-Modulated Linear Antenna Array Synthesis, IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain.

 

24. Shizheng Zhao, Ponnuthurai N. Suganthan and Swagatam Das, Dynamic Multi-Swarm Particle Swarm Optimizer with Sub-regional Harmony Search, IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain.

 

25. Gourab Ghosh Roy, Prithwish Chakroborty, Shizheng Zhao, Swagatam Das and Ponnuthurai N. Suganthan, Artificial Foraging Weeds for Global Numerical Optimization over Continuous Spaces, IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain.

 

26. Pavel Bhowmik, Sauvik Das, Amit Konar, Swagatam Das and Atulya Nagar, A New Differential Evolution with Improved Mutation Strategy, IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain.

 

27. Aritra Chowdhury, Ritwik Giri, Arnob Ghosh, Swagatam Das and Ajith Abraham,
Linear Antenna Array Synthesis using Fitness-Adaptive Differential Evolution Algorithm, IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain.

 

28. Prithwish Chakraborty, Swagatam Das, Ajith Abraham and Gourab Roy
On Convergence of Multi-objective Particle Swarm Optimizers, IEEE Congress on Evolutionary Computation (CEC) 2010, WCCI 2010, Barcelona, Spain.

 

29. Sohini Roy Choudhury, Sanjoy Das, Caterina Scoglio, Swagatam Das, and B. K. Panigrahi, Mitigation Strategies in Epidemics: Evolutionary Optimization Using a Hierarchy of Objective Functions, Genetic and Evolutionary Computing Conference (GECCO) 2010, Portland, Oregon, USA.

 

30. Sayan Ghosh, Swagatam Das, and Sanjoy Das, On the Asymptotic Convergence of Differential Evolution, Genetic and Evolutionary Computing Conference (GECCO) 2010, Portland, Oregon, USA (Accepted as late breaking paper).

 

31. S. Z. Zhao, P. N. Suganthan, S. Pal, Swagatam Das and A. Basak, "Multi-Objective Design of Monopulse Antenna with Two-lbests based Multi-objective Particle Swarm Optimizer", 1st Int. Conf. On Computational Problem-Solving (ICCP2010), Li Jiang, China, Dec 3-5, 2010.

 

32. Siddharth Pal, Anniruddha Basak, Swagatam Das, and Ajith Abraham, Linear antenna array synthesis with invasive weed optimization algorithm, International Conference on Soft Computing and Pattern Recognition (SoCPaR 2009), Dec. 4th – 7th, Malacca, Malayasia.

 

33. Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, and Ajith Abraham, Design of optimal digital IIR filters by using a bandwidth adaptive harmony search algorithm, accepted in Proc. of World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), Coimbatore, India, Dec. 9 – 11, 2009.

 

34.  Kaushik Suresh, Debarati kundu, Sayan Ghosh, Swagatam Das, and Ajith Abraham, IWO with Increased Deviation and Stochastic Selection (IWO-ID-SS) for global optimization of noisy fitness functions, accepted  in Proc. of World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), Coimbatore, India, Dec. 9 – 11, 2009

 

35. Prithwish Chakraborty, Gourab Ghosh Roy, Swagatam Das, and B. K. Panigrahi, On population variance and explorative power of the invasive weed optimization algorithm, accepted  in Proc. of World Congress on Nature and Biologically Inspired Computing (NaBIC 2009), Coimbatore, India, Dec. 9 – 11, 2009.

 

36. Debasish Datta, Amit Konar, Ananda Sankar Chowdhury, Swagatam Das and Atulya Nagar, Abductive Reasoning with Type II Fuzzy Sets, 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), IEEE Press (Accepted, 2009).

 

37. Aruna Chakraborty, Pavel Bhowmik, Swagatam Das, Anisha Halder, Amit Konar, Atulya K. Nagar: Correlation between stimulated emotion extracted from EEG and its Mainfestation on Facial Expression, SMC 2009: 3132-3137

 

38. Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das, Ajith Abraham and B. K. Panigrahi, An Analysis of the Agent Communication in lbest Particle Swarm Optimizers, in 9th International Conference on Hybrid Intelligent Systems (HIS 2009), IEEE Computer Society Press, Shenyang Liaoning, China, August 12-14th, 2009.

 

39. Arijit Biswas, Sambarta Dasgupta, Bijaya K Panigrahi, V. Ravikumar Pandi, Swagatam Das, Ajith Abraham and Youakim Badr,  Economic Load Dispatch Using a Chemotactic Differential Evolution Algorithm, 4th International Conference on Hybrid Artificial Intelligent Systems, Salamanca, Spain, Lecture Notes in Artificial Intelligence, Springer Verlag Germany, 2009.

 

40. Debarati Kundu, Kaushik Suresh, Sayan Ghosh, Swagatam Das, Ajith Abraham and Youakim Badr, Automatic Clustering Using a Synergy of Genetic Algorithm and Multi-objective Differential Evolution, 4th International Conference on Hybrid Artificial Intelligent Systems, Salamanca, Spain, Lecture Notes in Artificial Intelligence, Springer Verlag Germany, 2009.

 

41. Kaushik Suresh, Debarati Kundu, Sayan Ghosh, Swagatam Das and Ajith Abraham, Automatic Clustering with Multi-objective Differential Evolution Algorithms, IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norway, IEEE Press, 2009.

 

42. Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Bijaya Ketan Panigrahi and Ajith Abraham, A Micro-Bacterial Foraging Algorithm for High-Dimensional Optimization, IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norway, IEEE Press, 2009.

 

43. Jayasree Chakraborty, Amit Konar, Atulya Nagar, and Swagatam Das, Rotation and Translation Selective Pareto Optimal Solution to the Box-Pushing Problem by Mobile Robots Using NSGA-II, IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norway, IEEE Press, 2009.

 

44. Swagatam Das, Archana Chowdhury and Ajith Abraham, A Bacterial Evolutionary Algorithm for Automatic Data Clustering, IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norway, IEEE Press, 2009.

 

45. Debasish Datta, Sheli Sinha Choudhuri, Amit konar, Atulya Nagar, and Swagatam Das, A Recurrent Fuzzy Neural Model of a Gene Regulatory Network for Knowledge Extraction Using Differential Evolution, IEEE Congress on Evolutionary Computation (CEC 2009), Trondheim, Norway, IEEE Press, 2009.

 

46. Prithwish Chakraborty, Gourab Ghosh Roy, Spandan Sinha, Soumya Bose, Ankur Mondal, and Swagatam Das, Automatic Shape Independent Clustering Inspired by Ant Dynamics, International Workshop on Machine Intelligence Research, MIR Day 2009, G. H. Raosoni College of Engineering, Nagpur, India, 24 – 26 January, 2009.

 

47. Dhaval Jain, Gourab Ghosh Roy, Prithwish Chakraborty, and Swagatam Das, Fuzzy Entropy-based Object Segmentation with an Inertia-Adaptive PSO, the Sixteenth International Conference on Advanced Computing and Communication (ADCOM 2008) Sunday Dec.14 - Wednesday Dec.17, 2008, Anna University, Chennai, India.

 

48. Sayan Ghosh, Debarati Kundu, Kaushik Suresh, Swagatam Das and Ajith Abraham, An Adaptive Particle Swarm Optimizer with Balanced Explorative and Exploitative Behaviors, 10-th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, IEEE Computer Society Press, USA, 2008.

 

49. Arpan Mukhopadhyay, Anwit Roy, Sourav Das, Swagatam Das, and Ajith Abraham, Population-Variance and Explorative Power of Harmony Search: An Analysis, in Third IEEE International Conference on Digital Information Management (ICDIM 2008), November 13-16, 2008 University of East London, London. UK.

 

50. Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhirup Sen, Swagatam Das, and Ajith Abraham, Inertia-adaptive Particle Swarm Optimizer for Improved Global Search, Eighth  International Conference on Intelligent System Design and Applications (ISDA) 2008, November 26 – 28, 2008, Kachsiung, Taiwan.

 

51. Arijit Biswas, Swagatam Das, Sambarta Dasgupta, and Ajith Abraham, Dynamics of Reproduction in Artificial Bacterial Foraging System: Modeling and Stability Analysis, in IEEE International Conference on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), 27-31st October, 2008, Paris, France.

 

52. Swagatam Das, Sambarta Dasgupta, Arijit Biswas and Ajith Abraham, Stability Aspects of the Chemotactic Dynamics in Bacterial Foraging Optimization Algorithm, in IEEE International Conference on Soft Computing as Transdisciplinary Science and Technology (CSTST 2008), 27-31st October, 2008, Paris, France.

 

53. Swagatam Das, Sambarta Dasgupta, Arijit Biswas and Ajith Abraham, Automatic Circle Detection on Images Using Annealed Differential Evolution, Eighth International Conference on Hybrid Intelligent Systems - HIS 2008, Barcelona, IEEE CS Press, USA, 2008.

 

54. Swagatam Das, Sudeshna Sil, and Uday K. Chakraborty, Kernel Induced Pixel Clustering with Differential Evolution, IEEE Congress on Evolutionary Computation CEC 2008, IEEE World Congress on Computational Intelligence, WCCI 2008, IEEE Press, USA, 2008.

 

55. Sambarta Dasgupta, Arijit Biswas, Swagatam Das, and Ajith Abraham, The Population Dynamics of Differential Evolution: a Mathematical Model,  IEEE Congress on Evolutionary Computation CEC 2008, IEEE World Congress on Computational Intelligence, WCCI 2008, IEEE Press, USA, 2008.

 

56. Ajith Abraham, Arijit Biswas, Sambarta Dasgupta, and Swagatam Das, Analysis of Reproduction Operator in Bacterial Foraging Optimization, IEEE Congress on Evolutionary Computation CEC 2008, IEEE World Congress on Computational Intelligence, WCCI 2008, IEEE Press, USA, 2008.

 

57. Sambarta Dasgupta, Arijit Biswas, Swagatam Das, and Ajith Abraham, Automatic circle detection on images with an adaptive bacterial foraging algorithm, in Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation M. Keijzer, Ed. GECCO '08. ACM, New York, NY, 1695-1696, Atlanta, GA, USA, July 12 - 16, 2008.

 

58. Ajith Abraham, Arijit Biswas, Swagatam Das, and Sambarta Dasgupta, Design of Fractional Order PIλDμ Controllers with an Improved Differential Evolution, In Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, M. Keijzer, Ed. GECCO '08. ACM, New York, NY, 1445-1452, Atlanta, GA, USA, July 12 - 16, 2008.

 

59. Amit Konar, Alakananda Bhattacharya, Swagatam Das, and Ajith Abraham, Hardware/Software Partitioning Problem in Embedded System Design Using Particle Swarm Optimization Technique, International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), IEEE Computer Society Press, Barcelona, Spain, March 4th-7th, 2008.

 

60. Sambarta Dasgupta, Arijit Biswas, Swagatam Das, and Ajith Abraham, An Analysis of the Simulated Chemotaxis, in Bacterial Foraging Optimization, International Conference on Complex, Intelligent and Software Intensive Systems (CISIS 2008), IEEE Computer Society Press, Barcelona, Spain, March 4th-7th, 2008.

 

61. Arijit Biswas, Sambarta Dasgupta, Swagatam Das, and Ajith Abraham, Synergy of PSO and Bacterial Foraging Optimization: A Comparative Study on Numerical Benchmarks, Second International Symposium on Hybrid Artificial Intelligent Systems (HAIS 2007), Advances in Soft computing Series, Springer Verlag, Germany, E. Corchado et al. (Eds.): Innovations in Hybrid Intelligent Systems, ASC 44, pp. 255-263, 2007.

 

62. Ajith Abraham, Swagatam Das, and Amit Konar, Kernel Based Automatic Clustering Using Modified Particle Swarm Optimization Algorithm, Genetic and Evolutionary Computation Conference (GECCO 2007), ACM Press, Dirk Thierens et al. (Eds.), ISBN 978-1-59593-698-1, pp. 2-9, 2007.

 

63. Ajith Abraham, Amit Konar, Nayan Samal and Swagatam Das, Stability Analysis of the Ant System Dynamics with Non-uniform Pheromone Deposition Rules, IEEE Congress in Evolutionary Computation, CEC 2007, IEEE press, USA, IEEE press, USA, ISBN 1-4244-1340-0, pp. 1103-1108, 2007.

 

64. Nayan Samal, Amit Konar, Swagatam Das, and Ajith Abraham, A Closed Loop Stability Analysis and Parameter Selection of the Particle Swarm Optimization Dynamics for Faster Convergence, IEEE Congress in Evolutionary Computation, CEC 2007, IEEE press, USA, ISBN 1-4244-1340-0, pp. 1769-1776, 2007.

 

65. Swagatam Das, Amit Konar, and Uday K. Chakraborty, Annealed Differential Evolution, IEEE Congress in Evolutionary Computation, CEC 2007, IEEE press, USA, ISBN 1-4244-1340-0, 2007.

 

66. Swagatam Das, Ajith Abraham, and Subir Kumar Sarkar, A Hybrid Rough-Swarm Algorithm for Image Pixel Classification, in proceedings of 6th International Conference on Hybrid Intelligent Systems (HIS’06), AUT Technology Park, Auckland, New Zealand, IEEE Computer Society Press, 2006.

 

67. Swagatam Das, Amit Konar, and Ajith Abraham, Spatial Information based Image Segmentation with a Modified Particle Swarm Optimization, in Sixth International Conference on Intelligent System Design and Applications (ISDA) 2006, Jinan, Shangdong, China, IEEE Computer Society Press, 2006.

 

68. Swagatam Das, Amit Konar, and Uday K. Chakraborty, Fuzzy Image Segmentation with an Improved Differential Evolution, in Proc. of Congress on Evolutionary Computation (CEC 2006), Vancouver, BC, Canada , IEEE Press, 2006.

 

69. Swagatam Das, Amit Konar, and Ajith Abraham, Document Clustering with Differential Evolution, in Proc. of Congress on Evolutionary Computation (CEC 2006), Vancouver, BC, Canada , IEEE Press, 2006.

 

70. Uday K. Chakraborty, Swagatam Das and Amit Konar, Differential Evolution with Local Neighborhood, in Proc. of Congress on Evolutionary Computation (CEC 2006), Vancouver, BC, Canada. IEEE Press, 2006.

 

71. Swagatam Das and Debangshu Dey, An Improved Differential Evolution Algorithm Applied to the Design of Two-dimensional IIR Filters, S. K. Pal et al. (Eds.) PReMI (Pattern Recognition and Machine Intelligence) 2005, LNCS 3776, pp. 369 – 375, 2005.

 

72. Swagatam Das and Amit konar, Modifying Differential Evolution for Noisy Fitness Landscapes, S. K. Pal et al. (Eds.) PReMI (Pattern Recognition and Machine Intelligence) 2005, LNCS 3776, pp. 417 – 421, 2005.

 

73. Swagatam Das, Amit Konar and Uday K. Chakraborty, Two Improved Differential Evolution Schemes for Faster Global Search, published in the ACM-SIGEVO published in the ACM-SIGEVO Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, H. Beyer, Ed. GECCO '05, New York, NY, pp. 991 - 998, Washington DC, USA, June 25 - 29, 2005.

 

74. Swagatam Das, Amit Konar, and Uday K. Chakraborty, Improving Particle Swarm Optimization by Differentially Perturbed Velocity, published in the ACM-SIGEVO published in the ACM-SIGEVO Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, H. Beyer, Ed. GECCO '05, New York, NY, pp. 177 - 184, Washington DC, USA, June 25 - 29, 2005.

 

75. Swagatam Das, Amit Konar, and Uday K. Chakraborty, A New Evolutionary Algorithm Applied to the Design of Two-dimensional IIR Filters, published in the ACM-SIGEVO Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, H. Beyer, Ed. GECCO '05, New York, NY, pp. 2157-2163, Washington DC, USA, June 25 - 29, 2005.

 

76. Swagatam Das, Amit Konar, and Uday K. Chakraborty, Design of Two-dimensional IIR Filters with Self Organizing Hierarchical PSO Algorithm, published in proceedings of JCIS 2005, Salt Lake City, Utah, USA.

 

77. Swagatam Das, Amit Konar, and Uday K. Chakraborty, Two Improved Differential Evolution Schemes for Tackling Noisy Optimization Problems, published in proceedings of Congress on Evolutionary Computation (CEC 2005), IEEE Press.

 

78. Swagatam Das, Debangshu Dey, and Amit Konar, Differential Evolution – As a Novel Approach of Training Feed Forward Neural Networks, published in the proc. of PEITSICON 2005, International Conference organized by IEE (Kolkata Chapter).

 

79. Swagatam Das, Debangshu Dey, and Amit Konar, Cooperative Task-Driven Robotic Behavior Using Particle Swarm Optimization, published in Proc. of EISCO – 2005, International Conference on Emerging Technologies in Intelligent System and Control, Department of Mechanical, Mechatronics & Electrical Engineering, Kumaraguru College of Technology.


 


 
 
 

** Important Notice **

 

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information d to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright.