Selected International Conference Papers

1. Sharanya Dasgupta, Arkaprabha Basu, Sujoy Nath, and Swagatam Das, ARREST: Adversarial Resilient Regulation Enhancing Safety and Truth in Large Language Models, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026), Accepted for Oral Presentation, Rabat, Morocco, March 24-29, 2026.

2. Dhruv Sarkar, Aprameya Chakrabartty, Anish Chakrabarty, Swagatam Das, Relation-Aware Slicing in Cross-Domain Alignment, Accepted, 29th International Conference on Artificial Intelligence and Statistics - AISTATS 2026, Tangier, Morocco, May 2026.

3. Advay Dhar, Swagatam Das, and Kalyanmoy Deb, Multi-Objective Orchestration of Small Language Model Ensembles: Balancing Accuracy, Diversity, and Fairness, Accepted as Full Paper at the Genetic and Evolutionary Computation Conference - GECCO 2026 @ San José, Costa Rica (Hybrid), July 13 - 17, 2026.

4.   Koustav Chowdhury, Bibhabasu Mandal, Sourav De, Sagar Ghosh, Swagatam Das, Debolina Paul, Saptarshi Chakraborty, Convex Clustering Redefined: Robust Learning With the Median of Means Estimator, Accepted for presentation, Main Track - The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026).

5.  Supratik Basu, Jyotishka Ray Choudhury, Debolina Paul, Swagatam Das: Dirichlet Process-Based Robust Clustering Using the Median-of-Means Estimator. Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (IJCAI) 2025, Main Track. Pages 4770-4778. https://doi.org/10.24963/ijcai.2025/531.

6.  Indranil Ojha, Kushal Bose, and Swagatam Das. 2025. FairSplit: Mitigating Bias in Graph Neural Networks through Sensitivity-based Edge Partitioning. In Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM '25). Association for Computing Machinery, New York, NY, USA, 5074–5078. https://doi.org/10.1145/3746252.3760951.

7. Debanjan Dutta, Faizanuddin Ansari, and Swagatam Das, Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation. In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP–AACL 2025), pages 900–918, 2025, Mumbai, India.

8.   N. Raghav, A. Gupta, M. Sahidullah and Swagatam Das, "Self-Tuning Spectral Clustering for Speaker Diarization," ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Hyderabad, India, 2025, pp. 1-5, doi: 10.1109/ICASSP49660.2025.10890194.

9.  Sharanya Dasgupta, Sujoy Nath, Arkaprabha Basu, Pourya Shamsolmoali, Swagatam Das: HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs. International Joint Conference on Neural Networks (IJCNN) 2025: 1-8, 10.1109/IJCNN64981.2025.11228484 , Rome, Italy.

8.   Faizanuddin Ansari, Tapabrata Chakraborti, and Swagatam Das, Algorithmic Fairness in Lesion Classification by Mitigating Class Imbalance and Skin Tone Bias, In: Linguraru, M.G., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2024.

9.  Faizanuddin Ansari, Agnish Bhattacharya, Biswajit Saha, and Swagatam Das, Mo2E: Mixture of Two Experts for Class-Imbalanced Learning from Medical Images, 2024 IEEE International Symposium on Biomedical Imaging (ISBI).

10. Debanjan Dutta, Anish Chakraborty, Swagatam Das, Lost in Translation: GANs' Inability to Generate Simple Probability Distributions, The Second Tiny Papers Track at the 12th International Conference on Learning Representations (ICLR 2024), invited to present (notable).

11.   Indranil Ojha, Kushal Bose, and Swagatam Das, Affinity-based Homophily: Can we measure homophily of a graph without using node labels? The Second Tiny Papers Track at the 12th International Conference on Learning Representations (ICLR 2024), invited to present.

12.  Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, and Swagatam Das, Interval Bound Interpolation for Few-shot Learning with Few Tasks, Accepted for 40th  International Conference on Machine Learning (ICML 2023), Hawaii Convention Center, USA.

13. Chandramauli Chakrabarty, Sayan Paul, Saptarshi Chakraborty, and Swagatam Das, Clustering High-dimensional Data with Ordered Weighted L1 Regularization, Proceedings of the 26-th International Conference on Artificial Intelligence and Statistics (AISTATS 2023), PMLR 206: 7176 - 7189, 2023.

14. Sandipan Dhar, P. Banerjee, Nanda D. Jana and Swagatam Das, Voice Conversion Using Feature Specific Loss Function Based Self-Attentive Generative Adversarial Network, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095069.

15. Abhishek Kumar, Swagatam Das, and Rammohan Mallipeddi, UEQMS: UMAP Embedded Quick Mean Shift Algorithm for High-Dimensional Clustering. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2023), 37(7), 8386-8395. https://doi.org/10.1609/aaai.v37i7.26011, Accepted for Oral Presentation.

16. Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi, GridShift: A Faster Mode-Seeking Algorithm for Image Segmentation and Object Tracking, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 8131 - 8139, Accepted for Oral Presentation.

17. Anish Chakrabarty and Swagatam Das, Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency, NeurIPS 2021 (Thirty-fifth Conference on Neural Information Processing Systems), Spotlight Acceptance.

18.  Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu, Uniform Concentration Bounds toward a Unified Framework for Robust Clustering, NeurIPS 2021 (Thirty-fifth Conference on Neural Information Processing Systems), Spotlight Acceptance.

19. Saptarshi Chakraborty, Debolina Paul, and Swagatam Das. "Automated clustering of high-dimensional data with a feature weighted mean shift algorithm." Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 35. No. 8. 2021.

20.  Sayak Dey, Swagatam Das, and Rammohan Mallipeddi. The sparse minmax k-means algorithm for high-dimensional clustering, IJCAI 2020 (29th International Joint Conference on Artificial Intelligence), pp. 2103 - 2110, 2020.

21. Saptarshi Chakraborty, Debolina Paul, Swagatam Das, and Jason Xu. Entropy regularized power k-means clustering, AISTATS 2020 (The 23rd International Conference on Artificial Intelligence and Statistics), pp. 691 - 701, Palermo, Sicily, Italy, June 3 - 5, 2020.

22.  Abhishek Kumar, Swagatam Das, and Ivan Zelinka. A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems. In ACM Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO ’20). Association for Computing Machinery, New York, NY, USA, 11–12. DOI: https://doi.org/10.1145/3377929.3398185.

23. Abhishek Kumar, Swagatam Das, and Ivan Zelinka. A self-adaptive spherical search algorithm for real-world constrained optimization problems. In ACM Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion (GECCO ’20). Association for Computing Machinery, New York, NY, USA, 13–14. DOI:https://doi.org/10.1145/3377929.3398186

24.  S. S. Mullick, S. Datta and S. Das, "Generative Adversarial Minority Oversampling," 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea (South), 2019, pp. 1695-1704, doi: 10.1109/ICCV.2019.00178.

25.  Debolina Paul, Saptarshi Chakraborty, Swagatam Das, and Ivan Zelinka. On the non-convergence of differential evolution: some generalized adversarial conditions and a remedy. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '19), Manuel López-Ibáñez (Ed.). ACM, New York, NY, USA, 265-266. DOI: https://doi.org/10.1145/3319619.3322007.

26. Quoc Bao Diep, Ivan Zelinka, and Swagatam Das. Self-organizing migrating algorithm for the 100-digit challenge, In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '19), Manuel López-Ibáñez (Ed.). ACM, New York, NY, USA, 3-4. DOI: https://doi.org/10.1145/3319619.3326750.

26. Arka Ghosh, Rammohan Mallipeddi, Swagatam Das, Asit Kr. Das: A Switched Parameter Differential Evolution with Multi-donor Mutation and Annealing Based Local Search for Optimization of Lennard-Jones Atomic Clusters. IEEE Congress on Evolutionary Computation (CEC) 2018: 1-8, Brazil.

27. Arka Ghosh, Swagatam Das, Bijaya Ketan Panigrahi, Asit Kumar Das: A noise resilient Differential Evolution with improved parameter and strategy control. IEEE Congress on Evolutionary Computation (CEC) 2017: 2590-2597, Spain.

28.  Nanda Dulal Jana, Jaya Sil, Swagatam Das, Protein Structure Optimization in 3D AB off-lattice model using Biogeography Based Optimization with Chaotic Mutation. 4-th ACM IKDD Conference on Data Sciences (CODS) 2017: 6:1-6:7, India.

29.  Avisek Gupta, Swagatam Das: On the Unification of k-Harmonic Means and Fuzzy c-Means Clustering Problems under Kernelization. 9-th International Conference on Advances in Pattern Recognition (ICAPR) 2017: 1-6, IEEE, Bangalore, India.

30. Aditya Panda, Rammohan Mallipeddi, Swagatam Das: Particle swarm optimization with a modified learning strategy and blending crossover. IEEE SSCI 2017: 1-8, Hawai, USA.

31. Nanda Dulal Jana, Jaya Sil, Swagatam Das: Improved Bees Algorithm for Protein Structure Prediction Using AB Off-Lattice Model. 21-st International Conference on Soft Computing, MENDEL 2015: 39-52, Brno, Czech Republic.

32. Swagatam Das, Arka Ghosh, Sankha Subhra Mullick: A Switched Parameter Differential Evolution for Large Scale Global Optimization - Simpler May Be Better. 21-st International Conference on Soft Computing, MENDEL 2015: 103-125, Brno, Czech Republic.

33. Nanda Dulal Jana, Jaya Sil, Swagatam Das: Particle Swarm Optimization with population adaptation. IEEE Congress on Evolutionary Computation (CEC) 2014: 573-578, Beijing, China.

34. Subhodip Biswas, Mohammad A. Eita, Swagatam Das, Athanasios V. Vasilakos: Evaluating the performance of Group Counseling Optimizer on CEC 2014 problems for Computational Expensive Optimization. IEEE Congress on Evolutionary Computation (CEC) 2014: 1076-1083, Beijing, China.

35. Ritambhar Burman, Swagatam Das, Zeeshanul Haque, Athanasios V. Vasilakos, Soumyadeep Chakrabarti: The Monarchy Driven Optimization technique. IEEE Congress on Evolutionary Computation (CEC) 2014: 3008-3015, Beijing, China.

36. Subhodip Biswas, Swagatam Das, P. N. Suganthan, C. A. Coello Coello: Evolutionary multiobjective optimization in dynamic environments: A set of novel benchmark functions. IEEE Congress on Evolutionary Computation (CEC) 2014: 3192-3199, Beijing, China.

37. Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das: A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images. FUZZ-IEEE 2014: 245-252, Beijing, China.

38. Rupam Kundu, Rohan Mukherjee, Swagatam Das, A. V. Vasilakos, “Multi-user detection in multi-carrier CDMA wireless broadband system using a binary adaptive differential evolution algorithm”, Genetic and Evolutionary Computation Conference (GECCO) 2013, Pages 1245-1252, Amsterdam, The Netherlands, July 6 – 10, 2013.

39. Souvik Kundu, Subhodip Biswas, Swagatam Das, P. N. Suganthan, “Crowding-based local differential evolution with speciation-based memory archive for dynamic multimodal optimization”, Genetic and Evolutionary Computation Conference (GECCO) 2013, pp. 33 – 40, Amsterdam, The Netherlands, July 6 – 10, 2013.

40. Subhodip Biswas, Souvik Kundu, Swagatam Das, P. N. Suganthan, “Information sharing in artificial bee colonies for detecting multiple niches in non-stationary environments ”, Genetic and Evolutionary Computation Conference (GECCO Companion) 2013, Amsterdam, The Netherlands, July 6 – 10, 2013.

41. Subhodip Biswas, Souvik Kundu, Swagatam Das, P. N. Suganthan, and B. K. Panigrahi, "Enhancing artificial bee colony algorithm  with novel perturbation schemes in multiple swarms and migratory foragers", Swarm Intelligence Symposium (SIS) under IEEE SSCI 2013, Singapore.

42. Bagepalli Theja, Anguluri Rajasekhar, D. P. Kothari and Swagatam Das, "Design of PID Controller Based Power System Stabilizer Using a Modified Philip-Heffron's Model: An Artificial Bee Colony Approach", Swarm Intelligence Symposium (SIS) under IEEE SSCI 2013, Singapore.

43. Rupam Kundu, Rohan Mukherjee, Swagatam Das and Athanasios Vasilakos, Adaptive Differential Evolution with Difference Mean Based Perturbation for Dynamic Economic Dispatch Problem, Symposium on Differential Evolution (SDE) under IEEE SSCI 2013, Singapore.

44. Anguluri Rajasekhar, Swagatam Das, and Sanjoy Das, µABC: A Micro Artificial Bee Colony Algorithm for Large Scale Global Optimization, Genetic and Evolutionary Computation Conference (GECCO), Pages 1399 - 1400, Philadelphia, USA, July 7 – 11, 2012.

45.  Md. Nasir, Soumyadip Sengupta, Swagatam Das, and Sanjoy Das, Configuration of Sensors on a 3-D Terrain: An Approach Based on Evolutionary Multi-objective Optimization, Genetic and Evolutionary Computation Conference (GECCO), Pages 1443 - 1444, Philadelphia, USA, July 7 – 11, 2012.

46. Soumyadip Sengupta, Swagatam Das, Md. Nasir, Athanasios V. Vasilakos, and Witold Pedrycz, Energy-Efficient Differentiated Coverage of Dynamic Objects using an Improved Evolutionary Multi-objective optimization Algorithm with Fuzzy-Dominance, IEEE Congress on Evolutionary Computation (CEC) under WCCI 2012, Brisbane, Australia, June 10 – 15, 2012.

47. M. Nasir, S. Sengupta, Swagatam Das, and P. N. Suganthan, "An improved multi-objective optimization algorithm based on fuzzy dominance for risk minimization in biometric sensor network," 2012 IEEE Congress on Evolutionary Computation, Brisbane, QLD, Australia, 2012, pp. 1-8, doi: 10.1109/CEC.2012.6256647.

48. Anguluri Rajasekhar, Swagatam Das, and P. N. Suganthan, Design of Fractional Order Controller for a Servohydraulic Positioning System with Micro Artificial Bee Colony Algorithm, IEEE Congress on Evolutionary Computation (CEC) under WCCI 2012, Brisbane, Australia, June 10 – 15, 2012.

49. Subhrajit Roy, Sk. Minhazul Islam, Saurav Das, Swagatam Das, Ajith Abraham, and Pavel Kromer, Autonomous Deployment and Localization of Sensor Nodes with An Improved Differential Evolution Algorithm, Genetic and Evolutionary Computation Conference (GECCO), pp. 235 – 236, Dublin, Ireland, July 12 – 16, 2011.

50. 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.

51. 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.

52. 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.

53. 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.

54. 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.

55. Subhrajit Roy, Sk. Minhazul Islam, Saurav Das, Swagatam 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.

56. Sayan Maity, Soumen Sardar, Swagatam 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.

57. 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.

58. 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.

59. 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.

60. 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.

61. 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.

62. 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.

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

64. 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.

65.  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.

66. 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.

67. Sohini Roy Choudhury, Sanjoy Das, Caterina Scoglio, Swagatam Das, B. K. Panigrahi, and S. S. Pattnaik, Mitigation Strategies in Epidemics: Evolutionary Optimization Using a Hierarchy of Objective Functions, Genetic and Evolutionary Computing Conference (GECCO) 2010, Pages 1325 - 1326, Portland, Oregon, USA.

68. Sayan Ghosh, Swagatam Das, and Sanjoy Das, On the Asymptotic Convergence of Differential Evolution, Genetic and Evolutionary Computing Conference (GECCO) 2010, Pages 2073 - 2074,  Portland, Oregon, USA.

69. 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.

70. 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.

71. 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, IEEE SMC 2009: 3132-3137

72. 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.

73. 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.

74. 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.

75. 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.

76. 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.

77. 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.

78. 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.

79. 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.

80. 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.

81. 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.

82. 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.

83. 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 (GECCO), Pages 1695-1696, M. Keijzer, Ed. GECCO '08. ACM, Atlanta, GA, USA, July 12 - 16, 2008.

84. 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 (GECCO '08), M. Keijzer, Ed. pp. 1445-1452, Atlanta, GA, USA, July 12 - 16, 2008.

85. 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.

86. 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.

87. 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.

88. 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.

89. 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.

90. 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.

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

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

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

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

95. Swagatam Das, Amit Konar, and Uday K. Chakraborty, Improving Particle Swarm Optimization by Differentially Perturbed Velocity, ACM-SIGEVO Proceedings of the 2005 Conference on Genetic and Evolutionary Computation, (GECCO '05), pp. 177 - 184, Washington DC, USA, June 25 - 29, 2005.

96. 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 (GECCO '05) pp. 2157-2163, Washington DC, USA, June 25 - 29, 2005.

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