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International Conference Papers

  

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  1. Farswan, Pushpa, and Jagdish Chand Bansal. "Migration in biogeography-based optimization." In Proceedings of Fourth International Conference on Soft Computing for Problem Solving, pp. 389-401. Springer, New Delhi, 2015.

  2. Sharma, Nirmala, Harish Sharma, Ajay Sharma, and Jagdish Chand Bansal. "Black hole artificial bee colony algorithm." In International Conference on Swarm, Evolutionary, and Memetic Computing, pp. 214-221. Springer, Cham, 2015.

  3. Farswan, Pushpa, Jagdish Chand Bansal, and Kusum Deep. "A modified biogeography based optimization." In Harmony Search Algorithm, pp. 227-238. Springer, Berlin, Heidelberg, 2016.

  4. Bansal, Jagdish Chand. "Modified blended migration and polynomial mutation in biogeography-based optimization." In Harmony Search Algorithm, pp. 217-225. Springer, Berlin, Heidelberg, 2016.

  5. Sharma, Nirmala, Harish Sharma, Ajay Sharma, and Jagdish Chand Bansal. "Modified artificial bee colony algorithm based on disruption operator." In Proceedings of fifth international conference on soft computing for problem solving, pp. 889-900. Springer, Singapore, 2016.

  6. Joshi, Susheel, and Jagdish Chand Bansal. "Grey wolf gravitational search algorithm." In 2016 International Workshop on Computational Intelligence (IWCI), pp. 224-231. IEEE, 2016.

  7. Gopal, Anshul, and Jagdish Chand Bansal. "Stability analysis of differential evolution." In 2016 International Workshop on Computational Intelligence (IWCI), pp. 221-223. IEEE, 2016.

  8. Hazrati, Garima, Harish Sharma, Nirmala Sharma, and Jagdish Chand Bansal. "Modified spider monkey optimization." In 2016 International Workshop on Computational Intelligence (IWCI), pp. 209-214. IEEE, 2016.

  9. Agrawal, Anivesh, Pushpa Farswan, Vani Agrawal, D. C. Tiwari, and Jagdish Chand Bansal. "On the hybridization of spider monkey optimization and genetic algorithms." In Proceedings of Sixth International Conference on Soft Computing for Problem Solving, pp. 185-196. Springer, Singapore, 2017.

  10. Sharma, Nirmala, Harish Sharma, Ajay Sharma, and Jagdish Chand Bansal. "Fibonacci series-inspired local search in artificial bee colony algorithm." In Harmony search and nature inspired optimization algorithms, pp. 1023-1040. Springer, Singapore, 2019.

  11. Chourasia, Shakti, Harish Sharma, Manoj Singh, and Jagdish Chand Bansal. "Global and Local Neighborhood Based Particle Swarm Optimization." In Harmony Search and Nature Inspired Optimization Algorithms, pp. 449-460. Springer, Singapore, 2019.

  12. Sharma, Prashant, Harish Sharma, Sandeep Kumar, and Jagdish Chand Bansal. "A review on scale factor strategies in differential evolution algorithm." In Soft computing for problem solving, pp. 925-943. Springer, Singapore, 2019.

  13. Sharma, Nirmala, Avinash Kaur, Harish Sharma, Ajay Sharma, and Jagdish Chand Bansal. "Chaotic Spider Monkey Optimization Algorithm with Enhanced Learning." In Soft Computing for Problem Solving, pp. 149-161. Springer, Singapore, 2019.

  14. Sharma, Harish, Kritika Sharma, Nirmala Sharma, Assif Assad, and Jagdish Chand Bansal. "Fitness-Based Controlled Movements in Artificial Bee Colony Algorithm." In Soft Computing for Problem Solving, pp. 749-760. Springer, Singapore, 2020.

  15. Sharma, Apoorva, Nirmala Sharma, Harish Sharma, and Jagdish Chand Bansal. "Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm." In Soft Computing for Problem Solving 2019, pp. 1-15. Springer, Singapore, 2020.

  16. Kusum Deep, Jagdish Chand Bansal, “Performance Analysis of Turning Process via Particle Swarm Optimization,” Nature Inspired Cooperative Strategies for Optimization (NICSO 2007) Series: Studies in Computational Intelligence, Springer Vol. 129, pages 453-460, 2008

  17. Kusum Deep, Jagdish Chand Bansal, "A Socio-Cognitive Particle Swarm Optimization for Multi-Dimensional Knapsack Problem," icetet, pages 355-360, 2008 First International Conference on Emerging Trends in Engineering and Technology, 2008

  18. Jagdish Chand Bansal, Kusum Deep, "Optimization of Directional Overcurrent Relay Times by Particle Swarm Optimization," IEEE Swarm Intelligence Symposium 2008, pp. 1-7, USA (SIS-08).

  19. Jagdish Chand Bansal, Kusum Deep, Kalyan Veeramachaneni, Lisa Osadciw, “Information Sharing Strategy among Particles in Particle Swarm Optimization Using Laplacian Operator”, IEEE Swarm Intelligence Symposium 2009, pp. 30-36, USA (SIS-09).

  20. Jagdish Chand Bansal, Kusum Deep, "Optimal design of water distribution networks via Particle Swarm Optimization", IEEE International Advance Computing Conference (IACC'09), pp. 1314-1316, Patiala, India, March 6-7, 2009. Jagdish Chand Bansal, Kusum Deep, “Optimization of Directional Overcurrent Relay Times using Laplace Crossover Particle Swarm Optimization (LXPSO)”, IEEE Explore, World Congress on Nature & Biologically Inspired Computing Coimbtore, pp.288-293, 9-11 Dec, 2009.

  21. Kusum Deep, Pinkey Chauhan, Jagdish Chand Bansal, “Solving Nonconvex Trim Loss Problem using an Efficient Hybrid Particle Swarm Optimization” IEEE Explore, World Congress on Nature & Biologically Inspired Computing Coimbtore,pp. 1608-1611, 9-11 Dec, 2009.

  22. Jagdish Chand Bansal, Kusum Deep, "Quadratic Approximation PSO for Economic Dispatch Problems with Valve-point Effects" , Swarm, Evolutionary, and Memetic Computing, Lecture Notes in Computer Science, 2010, Volume 6466/2010, 460-467.

  23. Kusum Deep, Jagdish Chand Bansal, “Particle Swarm Optimization for economic dispatch problems with valve-point effects”, Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on, page(s): 1395 – 1398.

  24. Harish Sharma, Jagdish Chand Bansal and K V Arya, "Hybridizing xth Root Problem with RSA for Designing an Efficient Digital Signature Algorithm", to appear in the proceeding of 2011 International Conference on Network Communication and Computer (ICNCC 2011) to be held during March 19-20, 2011 in New Delhi, India.

  25. J. C. Bansal, P. K. Singh, Mukesh Saraswat, Abhishek Verma, Shimpi Singh Jadon, Ajith Abraham, “Inertia Weight Strategies in Particle Swarm Optimization” NABIC 2011, Spain.

  26. Jagdish Chand Bansal, Harish Sharma, and K.V. Arya, “A New Digital Signature Scheme Based on Factoring and Discrete Logarithms”, 4th IEEE International Conference on Computer Science and Information Technology pages 458-463, IEEE, 2011.

  27. Jagdish Chand Bansal, Harish Sharma, and K.V. Arya, “Model Order Reduction of Single Input Single Output Systems using Artificial Bee Colony Optimization Algorithm”, Inter- national Conference on Nature Inspired Cooperative Strategies for Optimization (NICSO 2011), Cluj Napoca, Romania, Vol. 387 Springer,October 20-22 (2011).

  28. Harish Sharma, Jagdish Chand Bansal, and K.V. Arya, “Dynamic Scaling Factor based Differential Evolution Algorithm ”, International Conference on Soft Computing for Problem Solving (SocPros 2011, IE, IIT Roorkee Campus,proceedings published by Springer, December 20-22 (2011).

  29. Harish Sharma, Abhishek Verma, and Jagdish Chand Bansal, “Group Social Learning in Artificial Bee Colony Optimization Algorithm ”, International Conference on Soft Computing for Problem Solving (SocPros 2011), IE, IIT Roorkee Campus, proceedings published by Springer, December 20-22 (2011).

  30. Vivek Agrawal, Harish Sharma, and Jagdish Chand Bansal, “Bacterial Foraging Optimization: A Survey ”, International Conference on Soft Computing for Problem Solv- ing (SocPros 2011), IE, IIT Roorkee Campus,proceedings published by Springer, December 20-22 (2011).

  31. Shimpi Singh Jadon, Harish Sharma, Etesh Kumar, and Jagdish Chand Bansal, “Application of Binary Particle Swarm Optimization in Cryptanalysis of DES”, International Conference on Soft Computing for Problem Solving (SocPros 2011), IE, IIT Roorkee Campus, proceedings published by Springer, December 20-22 (2011).