"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.
(Draft Source Code, Supplementary Document)
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.
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:
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