31. Rahul Mondal, Tandra Pal, and Prasenjit Dey, “A Hybrid Regularized Multilayer Perceptron for Input Noise Immunity”, EEE Transactions on Artificial Intelligence, Aug. pp. 1-12, vol. 1, DOI Bookmark: 10.1109/TAI.2022.3225124

30. S. Karmakar, S. Kamilya, P. Dey, P. K Guhathakurta, M. Daluia, T.K Bera, S. Halder, C. Koley, T. Pal and A. Basu, “Real Time Detection of Cognitive Load Using fNIRS: A Deep Learning Approach”, Biomedical Signal Processing and Control, 2023. https://doi.org/10.1016/j.bspc.2022.104227

29. A Biswas, S P Tripathy and T Pal, “On multi-objective covering salesman problem”, Neural Computing and Applications, August 2022. (https://doi.org/10.1007/s00521-022-07683-7)

28. S P Tripathy, A Biswas and T Pal, “A multi-objective covering salesman problem with 2-coverage”, Applied Soft Computing Journal, vol. 113, Part A, 2021.

27. A Biswas and T Pal, “A Comparison between Metaheuristics for Solving a Capacitated Fixed Charge Transportation Problem with Multiple Objectives”, Expert Systems with Applications, Vol. 170, Pages 114491, 2021.

26. S. Kar, S. Majumder, D. Constales, T. Pal and A. Dutta, “A Comparative Study of Multi Objective Optimization Algorithms for A Cellular Automata Model”, Revista Mexicana de Ingeniería Química, Vol. 19, No. 1, pp. 299-311, 2020. (SCIE)

25..Arindam Dey, Aayush Agarwal, Pranav Dixit, Le Hoang Son, Frank Werner, Tandra Pal and Hoang Viet Long, “Genetic Algorithm for Total Graph Coloring”, Journal of Intelligent & Fuzzy Systems, Vol. 37, No. 6, pp. 7831-7838, 2019. (SCIE)

24. S. Majumdar, M.B. Kar, S. Kar and T. Pal, “Uncertain Programming Models for Multi-objective Shortest Path Problem with Uncertain Parameters”, Soft Computing, Vol. 24, 2019.

23. Aditi Khanra, Tandra Pal, Manas Kumar Maiti and Monoranjan Maiti, “Multi-objective Four dimensional imprecise TSP solved with a hybrid multi-objective ant colony optimization-genetic algorithm with Diversity”, Journal of Intelligent & Fuzzy Systems, IOS Press , Vol. 36, No. 1, pp. 47-65, 2019.

22. S. Majumdar, S. Kar and T. Pal, "Uncertain multi-objective Chinese postman problem”, Soft Computing, Vol. 23, pp. 11557–11572, 2019

21. Saibal Majumder, Pradip Kundu, Samarjit Kar and Tandra Pal, “Uncertain Multi-Objective MultiItem Fixed Charge Solid Transportation Problem with Budget Constraint”, Soft Computing, Vol. 23, pp. 3279–3301, 2019.

20. Sujit Das, Debashish Malakar, Samarjit Kar and Tandra Pal, "Correlation measure of hesitant fuzzy soft sets and their application in decision making", Neural Computing and Applications, Springer, Vol. 31, Issue 4, pp. 1023–1039, 2019.

19. Saibal Majumdar, Samarjit Kar and Tandra Pal, "Rough Fuzzy Quadratic Minimum Spanning Tree Problem", Expert Systems, Vol. 36, Issue 2, pp. 269-308, 2019.

18. Kaustuv Nag, Tandra Pal, Rajani K. Mudi and Nikhil R. Pal, “Robust Multiobjective Optimization with Robust Consensus”, IEEE Transactions on Fuzzy Systems, Vol. 26, No. 6, 2018.

17. Saibal Majumder, Bishwajit Saha, Pragya Anand, Samarjit Kar and Tandra Pal, “Uncertainty Based Genetic Algorithm with Varying Population for Random Fuzzy Maximum Flow Problem”, Expert Systems, Vol. 35, Issue 4, 2018.

16. Mahuya B. Kar, Pradip Kundu, Samarjit Kar and Tandra Pal, “A multi-objective multi-item solid transportation problem with vehicle cost, volume and weight capacity under fuzzy environment”, Journal of Intelligent & Fuzzy Systems (JIFS), IOS Press, Vol. 35, No. 2, pp. 1991-1999, 2018.

15. Arindam Dey, Ranga Ballav Pradhan, Anita Pal and Tandra Pal, “Interval Type 2 Fuzzy Set in Fuzzy Shortest Path using GA”, Malaysian Journal of Computer Science, Vol. 31, No. 4, pp. 255- 270, 2018.

14. Provas Kumar Roy, Moumita Pradhan and Tandra Pal, “Krill herd algorithm applied to short-term hydrothermal scheduling problem,” Ain Shams Engineering Journal, Elsevier, Volume 9, Issue 1, pp. 31-43, 2018.

13. Sujit Das, Sumonta Ghosh, Samarjit Kar and Tandra Pal, “An algorithmic approach for predicting unknown information in incomplete fuzzy soft set”, Arabian Journal for Science and Engineering, Volume 42, Issue 8, pp. 3563–3571, 2017.

12. Prasenjit Dey, Kaustuv Nag, Tandra Pal and Nikhil R. Pal, “Regularizing Multilayer Perceptron for Robustness”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 48, No. 8, pp.1255-1266, 2017.

11. Prasenjit Dey, Madhumita Gopal, Payal Pradhan and Tandra Pal, ‘On Robustness of Radial Basis Function Network with Input Perturbation”, Neural Computing and Applications, Springer, 2017, doi: 10.1007/s00521-017-3086-5.

10. Mohuya B. Kar, Saibal Majumder, Samarjit Kar and Tandra Pal, “Cross-entropy base multiobjective uncertain portfolio selection problem”, Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 32, pp. 4467–4483, 2017.

9. Pradip Kundu, Mahuya B Kar, Samarjit Kar, Tandra Pal and Manoranjan Maiti, “A Solid Transportation Model with Product Blending and Parameters as Rough Variables”, Soft Computing, Springer, Vol. 21, No. 9, pp. 2297-2306, 2017.

8. Moumita Pradhan, Provas Kumar Roy, Tandra Pal, “Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system,” Ain Shams Engineering Journal, Elsevier, 2017.

7. Arindam Dey, Anita Pal and Tandra Pal, “Interval Type 2 Fuzzy Set in Fuzzy Shortest Path Problem”, Mathematics, 4, 62; doi: 10.3390/math4040062 2016. (Articles published from Volume 4 (2016) are included in SCIE)

6. Moumita Pradhan, Provas Kumar Roy and Tandra Pal, “Grey Wolf Optimization Applied to Economic Load Dispatch Problems”, International Journal of Electrical Power & Energy Systems, Elsevier, Vol. 83, pp. 325-334, 2016.

5. Sk Md Ali Bulbul, Moumita Pradhan, Provas Kumar Roy, and Tandra Pal, “Opposition-based krill herd algorithm applied to economic load dispatch problem,” Ain Shams Engineering Journal, Elsevier, Accepted on 23rd February, 2016.

4. Kaustuv Nag, Tandra Pal and Nikhil R. Pal, “ASMiGA: An Archive-Based Steady-State Micro Genetic Algorithm”, IEEE transactions on cybernetics, Vol. 45, No. 1, pp. 40-52, 2015.

3. Saurajyoti Kar, Kaustuv Nag, Abhishek Dutta, Denis Constales and Tandra Pal, “An improved cellular automata model of enzyme kinetics based on genetic algorithm”, Chemical Engineering Science, Elsevier, 110, pp. 105-118, 2014.

2. T Pal and N. R. Pal, “SOGARG: A Self-organized Genetic Algorithm based Rule Generation Scheme for Fuzzy Controllers”, IEEE Transactions on Evolutionary Computing, Vol. 7, no. 4, pp. 397-415, 2003.

1. N. R. Pal and T. Pal, “On Rule Pruning Using Fuzzy Neural Networks”, Fuzzy Sets and Systems, Vol. 106, pp. 335-347, 1999.

9. Provas Kumar Roy, Moumita Pradhan and Tandra Pal, “Multi-objective Hydro-thermal Scheduling Problem Using Two Novel Optimization techniques”, International Journal of Swarm Intelligence Research (IJSIR), Vol. Doi: 10.4018/Ijsir.2021070101 12, Issue 3, Pages: 36, 2021.

8. Sujit Das, Saurabh Kumar, Samarjit Kar and Tandra Pal, “Group decision making using neutrosophic soft matrix: An algorithmic approach”, Journal of King Saud University- Computer and Information Sciences, Vol. 31, Issue 4, pp. 459-468, 2019.

7. Siba Prasad Tripathy, Amit Tulshyan, Samarjit Kar and Tandra Pal, "On Interval Covering Salesman Problem", International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience, May 2018.

6. Sujit Das, Debashish Malakar, Samarjit Kar and Tandra Pal, “A Brief Review and Future Outline on Decision Making Using Fuzzy Soft Set”, International Journal of Fuzzy System Applications (IJFSA), Vol. 7, Issue 2, Pages 43, 2018

5. Arindam Dey, Sahanur Mondal and Tandra Pal, “Robust and Minimum Spanning Tree in Fuzzy Environment”, International Journal of Computing Science and Mathematics, Inderscience, July, 2017

4. Moumita Pradhan, Provas Kumar Roy and Tandra Pal, “Economic Load Dispatch Using Oppositional Backtracking Search Algorithm”, International Journal of Energy Optimization and Engineering, Vol. 6, Issue 2, April-June 2017. (ESCI)

3. Moumita Pradhan, Provas Kumar Roy and Tandra Pal, “Economic Load Dispatch Using Oppositional Backtracking Search Algorithm”, International Journal of Energy Optimization and Engineering, Vol. 6, Issue 2, April-June 2017. (ESCI)

2. Sujit Das, Samarjit Kar and Tandra Pal, “Group Decision Making using Interval-valued Intuitionistic Fuzzy Soft Matrix and Confident Weight of Experts”, Journal of Artificial Intelligence and Soft Computing Research (JAISCR), Polish Neural Network Society, Vol. 4, no. 1, pp. 57-77, 2014. 

1. Tandra Pal, Nikhil R. Pal, Manoranjan Pal, “Learning Fuzzy Rules for Controllers with Genetic Algorithm”, International Journal of Intelligent Systems, Vol. 18, Issue 5, pp. 569-592, 2003.

5. Aditi Khanra, Manas Kumar Maiti, Tandra Pal and Manoranjan Maiti, “Special TSPs Considering Conveyances and Routes Through a Hybrid Algorithm”, Annals of Pure and Applied Mathematics, Feb. 2018.

4. Prasenjit Dey and Tandra Pal, “On Improving Generalization of Classifiers Using Feature Extraction”, International Journal of Control Theory and Applications, Vol. 10, Issue 14, pp. 29-38, 2017. (Peer reviewed, Scimago)

3. Siba Prasad Tripathy, Amit Tulshyan, Samarjit Kar and Tandra Pal, "A Metameric Genetic Algorithm with New Operator for Covering Salesman Problem with Full Coverage", International Journal of Control Theory and Applications, Vol. 10, No. 7, pp. 245-252, IJCTA, International Science Press, 2017. (Peer reviewed)

2. Prasenjit Dey and Tandra Pal, “A New Feature Extraction Technique for Classifiers Using SelfOrganizing Map”, International Journal of Convergence Computing (IJConvC), Inderscience, Vol. 2, no. 3-4, pp. 208-219, 2017. (Peer reviewed)

1. Sujit Das, Samarjit Kar and Tandra Pal, “Robust decision making using intuitionistic fuzzy numbers”, Granular Computing, Springer, June, Vol. 2, no. 1, pp. 41-54, 2017. (Peer reviewed)

4. S Mukhopadhyay, J K Mandal and T Pal, “Image Clustering based on Variable Length Particle Swarm Optimization (VPSO)”, IGI Global, Pensylvenia, USA, 2015.

3. Provas Kumar Roy, Moumita Pradhan and Tandra Pal, “ Evolutionary Algorithms for Economic Load Dispatch having Multiple types of Cost Functions”, Book Title: Handbook of Research on Natural Computing for Optimization Problems, Chapter-9, IGI Global Publication, Pensylvenia, USA, 2015

2. Saibal Majumder, Samarjit Kar and Tandra Pal, “Mean-Entropy Model of Uncertain Portfolio Selection Problem”, Book Title: Multi-Objective Optimization, Springer Nature Singapore Pte Ltd, 2018

1. Moumita Pradhan, Provas Kumar Roy and Tandra Pal, “Multi-objective short-term hydro-thermal scheduling using meta-heuristic approaches”, Pages 382-414, DOI: 10.4018/978-1-7998-3222- 5.ch016, Chapter 16 in the Handbook of Research on “Advancements of Swarm Intelligence Algorithms for Solving Real-World Problems”, IGI Global Publication, Pennsylvania, USA, Pages 482, 2020

2. S. Das, T Pal, S. Kar, S. Sathapathi and J. K. Mondal, Proceedings of the International Conference on “Frontiers of Intelligent Computing: Theory and Applications (FICTA)”, Springer (India) Pvt. Ltd., 2015

1. J K mandal, S Mukhopadhyay and T Pal, Handbook of Research on Natural Computing for Optimization Problems, IGI Global, Pensylvenia, USA, 2015. (indexed in Thomson Reuters Book Citation Index)

25. T. Pal, N. R. Pal and S. DebRay, “A Self-organized Rule Generation Scheme for Fuzzy Controllers”, Proc. The ninth IEEE International Conference on Fuzzy Systems FUZZ-IEEE 2000, Texas, 7-10 May 2000, pp. 13-18, 2000

24. T. Pal, “Evolutionary Approaches to Rule Extraction for Fuzzy Logic Controllers”, AFSS 2002, Advances in Soft Computing, Lecture Notes Series in Artificial Intelligence, LNAI 2275, pp. 425-432, Ed. N. R. Pal and M. Sugeno, Springer Verlag, 2002

23. T. Pal, “Fuzzy Rule-Based System Identification using Novel Concepts of Certainty Factors and Utility Factors of Rules”, FSKD’02, 2002 International Conference on Fuzzy Systems and Knowledge Discovery, Singapore, November 18-22, 2002

22. T. Pal, “Designing a Fuzzy Rule Based System Directly from Numerical Data”, Proc. The 5th

International Conference on Advances in Pattern Recognition, ICAPR-2003, Indian Statistical

Institute, Calcutta, India, December 10-13, 2003.

21. S. Sen and T. Pal, “A Neuro-Fuzzy Scheme for Fuzzy Set Selection and Rule Generation for

Classifier”, 2nd International Conference on Pattern Recognition and Machine Intelligence,

PReMI07, Indian Statistical Institute, Calcutta, India, December 18-22, 2007.

20. J. Howlader, A. Ghosh and T. Pal, “Secure Receipt-Free Sealed-Bid Electronic Auction”, Second

International Conference on Contemporary Computing, IC3 2009, August 17-19, Noida, India,

Springer, 2009.

19. Kaustuv Nag and Tandra Pal, “A Study on Crowding Distance in Multi-objective Evolutionary

Algorithm”, International Conference on Business and Information Management, ICBIM-2012,

vol 2, January 9-11, Durgapur, India, 2012.

18. Sudipta Mondal and Tandra Pal, “A Hybrid Genetic Algorithm for Job Shop Scheduling

Problem”, International Conference on Computer Applications, ICCA 2012, January 27-31, vol 2,

Pondicherry, India, 2012.

17. Kaustuv Nag and Tandra Pal, “A new Archive-based Steady-state Genetic Algorithm”, World

Congress on Computational Intelligence, WCCI 2012 IEEE, pp. 853-859, June 10-15, Brisbane,

Australia, 2012.

16. Sujit Das, Sandipta Karmakar, Tandra Pal and Samarjit Kar, “Decision Making with Geometric Aggregation Operators based on Intuitionistic Fuzzy Sets”, International Conference on Business and Information Management, ICBIM-2014, January 9-11, Durgapur, India, 2014.

15. Arindam Dey, Anita Pal and Tandra Pal, “The shortest path problem with interval Type-2 fuzzy arc lengths”, National Workshop and Conference on Discrete Mathematics and its Applications (NWCDMA 2014), Jadavpur University, Kolkata, India, March 10-14, 2014.

14. Kaustuv Nag, Tandra Pal and Nikhil R. Pal, “Robust Consensus: A new Measure for Multicriteria Robust Group Decision Making Problems Using Evolutionary Approach”, Rutkowski et al. (Eds.): ICAISC 2014, Part I, LNAI 8467, Springer, pp. 384-494, June 1-5, Zakopane, Poland, 2014.

13. Shanoli Samui Pal, Tandra Pal and Samarjit Kar, “An Improvement in Forecasting Interval based Fuzzy Time Series”, Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on World Congress on Computational Intelligence, WCCI 2014 IEEE, pp. 1390-1394, July 6-11, Beijing, China, 2014.

12. Sujit Das, Mohuya B. Kar, Tandra Pal and Samarjit Kar, “ Multiple Attribute Group Decision

Making using Interval-Valued Intuitionistic Fuzzy Soft Matrix“, Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on World Congress on Computational Intelligence, WCCI 2014 IEEE, pp. 2222-2229, July 6-11, Beijing, China, 2014.

11. S. Sareen, J. K. Mandal and T. Pal, “Image Encryption using Genetic Algorithms”, Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization (CSO 2014), July 4-6, Beijing, China, 2014.

10. S. Das, M Rani, T. Pal and S. Kar, “Interval-Valued Induced Averaging Aggregation Operator and Its Application in Group Decision Making with Intuitionistic Fuzzy Information”, Seventh International Joint Conference on Computational Sciences and Optimization (CSO 2014), IEEE Explore, July 4-6, Beijing, China, 2014.

9. Prasenjit Dey and Tandra Pal, “Extended Self Organizing Map with Probabilistic Neural Network for Pattern Classification Problems”, International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2014), vol. 327, pp. 167-174, Springer AISC Series, November 14-15, Bhubaneswar, Odisha, India, 2014.

8. S. Mukhopadhyay, P. Mandal, T. Pal and J. K. Mandal, “Image Clustering based on Different length Particle Swarm Optimization (DPSO)”, International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2014), Springer AISC Series, November 14-15, 2014.

7. Arindam Dey, Rangaballav Pradhan, Anita Pal and Tandra Pal, “The Fuzzy Robust Graph Coloring Problem”, International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2014), Springer AISC Series, November 14-15, Bhubaneswar, Odisha, India, 2014.

6. JK Mandal, Mandrita Saha, Pragati Mandal, Madhumita Sengupta, Tandra Pal, Mrinal Kanti Bhowmik, “Adaptive Partial Image Encryption Technique based on Chaotic Map”, 2014 Fourth International Conference on Emerging Applications of Information Technology (EAIT 2014), December 19-21, ISI, Kolkata, India, 2014.

5. Subhradip Aon, Ashis Sau, Prasenjit Dey and Tandra Pal, “IMOGA/SOM: An Intelligent Multiobjective Genetic Algorithm Using Self Organizing Map", International Work-Conference on Artificial Neural Networks (IWANN), pp. 40-51, June 14-16, 2017, Cadiz, Spain, 40-51, LNCS, Springer.

4. Prasenjit Dey, Abhijit Ghosh and Tandra Pal, “Regularized Stacked Auto-encoder based Pretraining for Generalization of Multi-layer Perceptron”, 6th International Conference on the Theory and Practice of Natural Computing (TPNC 2017), pp. 232-242, December 18-20, 2017, Prague, Czech Republic, LNCS, Springer, Cham.

3.  A Dey, A Agarwal, P Dixit and T Pal, “Genetic Algorithm for Robust Total Coloring of a Fuzzy Graph”, 2019 IEEE Congress on Evolutionary Computation (IEEE CEC 2019), Wellington, New Zealand, 10-13 June 2019.

2. Rahul Mondal, Prasenjit Dey, Gautam Sharma and Tandra Pal, "Regularizing Multilayer Perceptron for Generalization Using KL-Divergence," International Conference on Computer Science, Engineering and Applications (ICCSEA), GIET University, Gunupur, Odisha, India, pp. 1-6, 2020.

1. R. K. Mondal, M. U. Khan, S. Bhattacharjee and T. Pal, "A Greedy Algorithm for Maximizing Target Q-Coverage in Directional Sensor Networks," 2022 IEEE 6th Conference on Information and Communication Technology (CICT 2022), Gwalior, India, Nov, 18-20, 2022, pp. 1-6, doi: 10.1109/CICT 56698.2022.9997820