Optimization Techniques

Optimization techniques are a powerful set of tools for solving complex real-world problems. The application domain has grown manifold in recent years, covering almost all engineering and science disciplines. On the technological front, many new algorithms are designed by taking inspirations from different natural phenomena, resulting in some of the popular algorithms such as Genetic Algorithm (GA) based on Darwin’s principle of survival of the fittest, Ant Colony Optimization (ACO) based on the foraging behaviour of ants, Particle Swarm Optimization (PSO) based on the behaviour of birds flocking in swarms and many more. On the application front, irrespective of the source of inspirations, nature-inspired algorithms are suitable for most of the challenging applications dealing with current complexities of life in this 21st century. Fields of interest are as follows:

  • Linear Optimization
  • Meta-heuristics
  • Nature-inspired Optimization
  • Applications

Faculty Members:

Current Students:

  • Debojyoti Sarkar, Pursuing PhD at NIT Silchar
  • Saifuddin Ahmed, Pursuing PhD at NIT Silchar
  • Mainak Deb, Pursuing BTech at NIT Silchar
  • Samiksha Kulkarni, Pursuing BTech at NIT Silchar
  • Krishna Yelleti, Pursuing BTech at NIT Silchar
  • Soujanya Biswas, Pursuing BTech at NIT Silchar
  • Viveka Meena, Pursuing BTech at NIT Silchar

 Sponsored Research Projects:

SL No Project Title Principal Investigator Co-Investigator Amount Sponsor Status
1. Optimal Solution Evaluation Dr. Anupam Biswas N/A Rs. 23.36 Lakhs SERB-DST Ongoing


  • Suganya Devi K.,  Sivaji Bandyopadhyay, P.Srinivasan, Vadaparthi Nagesh,   Golluguri  N V Raja Reddy,  “An Efficient Artificial Fish Swarm Optimization based method for Disease Detection in Oryza Sativa”,  Australian Patent 2021105554. (Accepted)


  • Dr. Anupam Biswas, Dr. Seyedali Mirjalili, and Dr. Can Berk Kalayci, “Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems”, in “Studies in Computational Intelligence Series”, Springer Nature, 2022. (Ongoing, CFP Link http://cs.nits.ac.in/swarm_intelligence/)
  • Dr. Anupam Biswas, Dr. Alberto  Paolo Tonda, Dr. Ripon Patgiri, and Dr. Krishn Kumar Mishra, “Applications of Nature-inspired Computing and Optimization Techniques”, in “Advances in Computers Series”, Elsevier, 2022.(Ongoing, CFP Link https://easychair.org/cfp/EvoCom2021)


  1.  Anupam Biswas and Bhaskar Biswas, “Analyzing Evolutionary Optimization and Community Detection Algorithms using Regression Line Dominance”, in Information Sciences, Elsevier, vol. 396, pp. 185-201, 2017, ISSN: 0020-0255. (SCI, IF 6.795)
  2. Anupam Biswas and Bhaskar Biswas, “Regression Line Shifting Mechanism for Analyzing Evolutionary Optimization Algorithms”, in Soft Computing (SOCO), Springer,  vol. 21, no. 21, pp. 6237-6252, 2017, ISSN: 1432-7643. (SCI, IF 3.643)
  3. Anupam Biswas, “Atom Stabilization Algorithm and its Real Life Applications” in Journal of Intelligence and Fuzzy Systems (JIFS), IOS Press, vol. 30, no. 4, pp. 2189-2201, 2016, ISSN: 1064-1246. (SCI, IF 1.851)
  4. Anupam Biswas, B. Biswas, A. Kumar and K. K. Mishra, “Particle Swarm Optimization with Time Varying Cognitive Avoidance Component”, in International Journal of Computational Science and Engineering, Special Issue on Swarm and Artificial Intelligence, InderScience, vol. 16, no. 1, pp. 27-41, 2018, ISSN: 1742-7185. (ESCI, Scopus)
  5. Anupam Biswas, K. K. Mishra, Shailesh Tiwari and A. K. Misra, “Physics-inspired Optimization Algorithms: A Survey” in Journal of Optimization, vol. 2013, Article ID 438152, 16 pages, 2013. (ESCI)
  6. Debojyoti Sarkar and Anupam Biswas, “Comparative Performance Analysis of Recent Evolutionary Algorithms”, in 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), June 25 – 26, 2021, Mizoram, India.
  7. Debojyoti Sarkar, Nilima Mishra and Anupam Biswas, “Genetic Algorithm based Deep Learning Models: A Design Perspective”, in 7th International Conference on Mathematics and Computing (ICMC 2021), 02-05 Mar. 2021, Shibpur, India.
  8. Deepali Jain, Malaya Dutta Borah, and Anupam Biswas, “Fine-Tuning Textrank for Legal Document Summarization: A Bayesian Optimization Based Approach”, in the 12th meeting of Forum for Information Retrieval Evaluation (FIRE 2020), December 16–20, 2020, Hyderabad, India.
  9. Anupam Biswas, Shakshi Khandelwal and Bhaskar Biswas, “Community Detection in Networks using Atom Stabilization Algorithm” in 2017 IEEE 4th Intl. Conference on Soft Computing & Machine Intelligence (ISCMI 2017), Nov. 23-24, 2017, Mauritius.
  10. Anupam Biswas, Bhaskar Biswas and K. K. Mishra, “An Atomic Model Based Optimization Algorithm”, in 2nd International Conference on Computational Intelligence & Networks (CINE 2016), 11 Jan. 2016, pp. 63-68, Bhubaneswar.
  11. Anupam Biswas and Bhaskar Biswas, “Visual Analysis of Evolutionary Optimization Algorithms”, in  II International Symposium on Computational and Business Intelligence, ISCBI 2014, 7-8 Dec. 2014, pp. 81-84, New Delhi.
  12. Anupam Biswas, Pawan Gupta, Mradul Modi and Bhaskar Biswas, “An Empirical Study of Some Particle Swarm Optimizer Variants for Community Detection”, in Third International Symposium on Intelligent Informatics (ISI’14), 24-27 September 2014, pp 511-520, Delhi, India.
  13. Anupam Biswas, Pawan Gupta, Mradul Modi and Bhaskar Biswas, “Community Detection in Multiple Featured Social Network using Swarm Intelligence”, in International Conference on Communication and Computing (ICC-2014), 12-14 June 2014, Bangalore, India. (Best Paper Award)
  14. Anupam Biswas, Anoj Kumar and K. K. Mishra, “Particle Swarm Optimization with Cognitive Avoidance Component”, in 2nd International Conference on Advances in Computing, Communications and Informatics (ICACCI-2013), 22-25 Aug. 2013, pp. 149-154, Mysore, India.
  15. Anupam Biswas, A. V. Lakra, Sharad Kumar and Avjeet Singh, “An Improved  Random Inertia Weighted Particle Swarm Optimization” , in 2013 International Symposium on Computational and Business Intelligence (ISCBI 2013), 24-26 Aug. 2013, pp. 96-99, New Delhi.
  16. Ayan Chakraborty and Anupam Biswas, “Analyzing Deep Learning Optimizers for COVID-19 Fake News Detection”, in “Combating Fake News with Computational Intelligence Techniques” in Book series “Studies in Computational Intelligence”, Springer, 2021. (Accepted)
  17. Thounaojam Chinglemba, Soujanyo Biswas, Vivek Meena, Debojyoti Sarkar, and Anupam Biswas, “Introductory studies of Swarm Intelligence Techniques”, in “Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems” , in Book series “Studies in Computational Intelligence”, Springer, 2021. (Accepted)
  18. Debojyoti Sarkar and Anupam Biswas, “Introduction To Optimization In Manufacturing Operations”, in “Numerical Modelling and Optimization in Advanced Manufacturing Processes” Book series “Materials Forming, Machining and Tribology”, Springer Nature, 2021. (Accepted)
  19. Anupam Biswas and Bhaskar Biswas, “Swarm Intelligence Techniques and Their Adaptive Nature with Applications” , in “Complex system modeling and control through intelligent soft computations” vol 219, ch. 9, pp. 253-271, 2014, by: Studies in Fuzziness and Soft Computing, Springer-Verlag, Germany.
  20. Abhishek Garg, Anupam Biswas and Bhaskar Biswas, “Evolutionary Computation Techniques for Community Detection in Social Network Analysis”, in “Advanced Methods for Complex Network Analysis”, ch. 11, pp. 271-289, 2016, IGI Global, USA.
  21. Goluguri, N. V. Raja Reddy, Suganya Devi, K. Srinivasan, P., (2020),”Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network  model    for identifying the Oryza sativa diseases Neural Computing and Applications” Neural Computing and Applications, Springer, https://doi.org/10.1007/s00521-020- 05364- x. [Indexed: SCIE, Impact Factor: 4.774]
  22. N. Sinha, B. S. Purkayastha and B. Purkayastha, “Optimal Combined Nonconvex Economic and Emission Load Dispatch using NSDE”, , ICCIMA07, International Conference on Computational Intelligence and Multimedia Applications, 2007, Mepco, Schlenk Engineering College, Sivakasi, Madurai, Dec. 2007
  23. N. Sinha, B. S. Purkayastha and B. Purkayastha,“Hybrid PSO/Self-Adaptive Evolutionary Programming For Economic Dispatch With Non-Convex Cost Function”,  CEC2007, IEEE Congress on Evolutionary Computation, Swissotel The Stamford, Singapore, Sept. 2007.
  24. N. Sinha and B. Purkayastha, “PSO Embedded Evolutionary Programming Technique for non-convex Economic Load Dispatch”,  IEEE PES Power System Conference and Exposition 2004, New York, USA, pp. 10-13, Oct. 2004.
  25. Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay(2020), “Binary Particle Swarm Optimization Based Feature Selection (BPSO-FS) for Improving Breast Cancer Prediction.” In Proceedings of International Conference on Artificial Intelligence and Applications held in Delhi, pp. 373-384. Springer, 2020. (Best Paper Award)(DOI:https://doi.org/10.1007/978-)
  26. Arnab Kumar Mishra, Pinki Roy and Sivaji Bandyopadhyay(2019), “Genetic Algorithm Based Selection of Appropriate Biomarkers for Improved Breast Cancer Prediction”, Advances in Intelligent Systems and Computing (AISC Series Springer) Intelligent Systems Conference (IntelliSys-2019), 05-06 September 2019,London, United Kingdom
  27. J Pachuau, A Roy, G Krishna, A K Saha, “Estimation of Traffic matrix from links load using Genetic Algorithm”, Scalable Computing: Practice and Experience, Volume 22, Issues 1, pp. 29–38, ISSN: 1895-1767, DOI 10.12694:/scpe.v22i1.1834, Scopus.
  28. A K Saha, J Pachuau, A Roy and C Bhunia, “GA based Energy Efficient Modelling of a Wireless Sensor Network”, Accepted, Principles of Big Graph: In Depth Insight, Volume-129, Elsevier.
  29. J Pachuau, A Roy, A K Saha, “An overview of crossover techniques in Genetic Algorithm”, International Conference on Modeling, Simulation and Optimization 2020, PP-581-598, NIT Silchar, doi.org/10.1007/978-981-15-9829-6_46, Scopus Indexed.
  30. Dalton Meitei Thounaojam, Thongam Khelchandra, Kh Manglem Singh and Sudipta Roy, “A genetic algorithm and fuzzy logic approach for video shot boundary detection”, Computational intelligence and neuroscience, vol. 2016, pp. 14, 2016.
  31. Saptarshi Chakraborty, Dalton Meitei Thounaojam, “A novel shot boundary detection system using hybrid optimization technique”, Applied Intelligence, vol. 45, pp. 3207-3220, 2019.