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Assistant Professor (Senior Grade)

South Asian University New Delhi, India ORCID ID: http://orcid.org/0000-0001-9029-5129


International Journal of Swarm Intelligence, Inderscience Publishers

Dr. Jagdish Chand Bansal is an Assistant Professor (Senior Grade) at South Asian University New Delhi and Visiting Research Fellow at Maths and Computer Science, Liverpool Hope University UK. Dr. Bansal has obtained his Ph.D. in Mathematics from IIT Roorkee. Before joining SAU New Delhi he has worked as an Assistant Professor at ABV- Indian Institute of Information Technology and Management Gwalior and BITS Pilani. He is the editor in chief of “International Journal of Swarm Intelligence (IJSI)” published by Inderscience. He is the steering committee member and the general chair of the annual conference series SocProS. He is the general secretary of Soft Computing Research Society (SCRS). His Primary area of interest is Nature Inspired Optimization Techniques. Recently, he proposed a fission-fusion social structure based optimization algorithm, Spider Monkey Optimization (SMO), which is being applied to various problems from engineering domain. He has published 51 research papers in various international journals/conferences. He has supervised two Ph.D. thesis from ABV-IIITM Gwalior and 3 are in progress from SAU New Delhi. He has received Young Scientist Award 2009 from Gwalior Academy of Mathematical Sciences. He has also received Gold Medal at UG and PG level.


Selected Journal Publications


34. Jagdish Chand Bansal, Pushpa Farswan, Atulya Kumar Nagar: "Design of wind farm layout with non-uniform turbines using fitness difference based BBO", Engineering Applications of Artificial Intelligence, Volume 71, 2018, Pages 45-59, https://doi.org/10.1016/j.engappai.2018.02.007.: Full-Text Impact Factor: 2.894; 5-Year Impact Factor: 3.177


33. Jagdish Chand Bansal, Anshul Gopal, Atulya Kumar Nagar: "Stability Analysis of Artificial Bee Colony Optimization Algorithm", Swarm and Evolutionary Computation, 2017, https://doi.org/10.1016/j.swevo.2018.01.003: Full-Text Impact Factor: 3.893; 5-Year Impact Factor: 7.731


32. Jagdish Chand Bansal, Susheel Kumar Joshi, Atulya Kumar Nagar: "Fitness Varying Gravitational Constant in GSA", Applied Intelligence (2017, https://doi.org/10.1007/s10489-018-1148-8): Full-Text ; Impact Factor: 1.904


31. Jagdish Chand Bansal, Susheel Kumar Joshi, Harish Sharma: "Modified global best artificial bee colony for constrained optimization problems", Computers & Electrical Engineering (2017), ISSN 0045-7906, https://doi.org/10.1016/j.compeleceng.2017.10.021: Full-Text; Impact Factor: 1.570; 5-Year Impact Factor: 1.485


30. Shimpi Singh Jadon, Ritu Tiwari, Harish Sharma and Jagdish Chand Bansal: "Hybrid Artificial Bee Colony Algorithm with Differential Evolution", Applied Soft Computing (2017): Full-Text Impact Factor: 3.541; 5-Year Impact Factor: 3.811


29. Jagdish Chand Bansal and Pushpa Farswan: "Wind farm layout using Biogeography Based Optimization", Renewable Energy (2017): http://dx.doi.org/10.1016/j.renene.2017.01.064 Full-Text Impact Factor: 4.357; 5-Year Impact Factor: 4.825


28. Shimpi Singh Jadon, Jagdish Chand Bansal and Ritu Tiwari: "Escalated convergent Artificial Bee Colony", Journal of Experimental & Theoretical Artificial Intelligence 28.1-2 (2016): 181-200. Full-Text 2016 Impact Factor 1.384


27. Jagdish Chand Bansal, Harish Sharma, K V Arya, Kusum Deep, Millie Pant: "Self-adaptive artificial bee colony Optimization", Optimization, Volume 63, Issue 10, 1513--1532 (2014) Taylor & Francis. Full-Text 2016 Impact Factor 0.943


26. Jagdish Chand Bansal, Harish Sharma, Shimpi Singh Jadon, Maurice Clerc: "Spider Monkey Optimization algorithm for numerical optimization". Memetic Computing 6(1): 31-47 (2014). Full-Text 2016 Impact Factor 2.205


25. Jagdish Chand Bansal, Harish Sharma, Shimpi Singh Jadon: "Artificial bee colony algorithm: a survey". IJAIP 5(1/2): 123-159 (2013). Full-Text


24. Jagdish Chand Bansal, Harish Sharma, Atulya Nagar, K. V. Arya: "Balanced artificial bee colony algorithm". IJAISC 3(3): 222-243 (2013). Full-Text


23. Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Opposition based lévy flight artificial bee colony". Memetic Computing 5(3): 213-227 (2013). Full-Text 2016 Impact Factor 2.205


22. Jagdish Chand Bansal, Harish Sharma, K. V. Arya, Atulya Nagar: "Memetic search in artificial bee colony algorithm". Soft Computing. 17(10): 1911-1928 (2013). Full-Text


2016 Impact Factor 2.472

21. Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Power law-based local search in differential evolution", International Journal of Computational Intelligence Studies, Inderscience Publishers, 2(2), 90-112 (2013). Full-Text


20. Jagdish Chand Bansal, Kusum Deep: "A Modified Binary Particle Swarm Optimization for Knapsack Problems". Applied Mathematics and Computation 218(22): 11042-11061 (2012). PDF Impact Factor: 1.738; 5-Year Impact Factor: 1.702


19. Harish Sharma, Jagdish Chand Bansal, K. V. Arya, Kusum Deep: "Dynamic Swarm Artificial Bee Colony Algorithm". IJAEC 3(4): 19-33 (2012). Full-Text


18. Kusum Deep, Jagdish Chand Bansal: "Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization". J. UCS 18(13): 1842-1852 (2012). Full-Text 2016 Impact Factor 0.696; 5-year impact factor is 0.770.


17. Jagdish Chand Bansal, Harish Sharma: "Cognitive learning in differential evolution and its application to model order reduction problem for single-input single-output systems". Memetic Computing 4(3): 209-229 (2012). Full-Text 2016 Impact Factor 2.205


16. Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Fitness based Differential Evolution". Memetic Computing 4(4): 303-316 (2012). Full-Text 2016 Impact Factor 2.205


15. Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Self balanced differential evolution", Journal of Computational Science, Elsevier, (2012). Full-Text Impact Factor: 1.748; 5-Year Impact Factor: 2.009


14. Kusum Deep, Jagdish Chand Bansal: "Hybridization of Particle Swarm Optimization with Quadratic Approximation", OPSEARCH (Springer Publication), 46(1): 3-24 (2009) Full-Text


13. Kusum Deep, Jagdish Chand Bansal: "Mean Particle Swarm Optimization for Function Optimization", Int. J. Computational Intelligence Studies, 1(1): 72–92 (2009). Full-Text


12. Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Power Law based Local Search in Artificial Bee Colony", International Journal of Artificial Intelligence and Soft Computing, Inderscience, 4(2): 164-194, 2014. Full-Text


11. Harish Sharma, Jagdish Chand Bansal, K.V. Arya, Xin-She Yang: "Levy Flight Artificial Bee Colony", international journal of system sciences, Taylor and Francis. Full-Text 2016 Impact Factor 2.285


10. Madhuri Arya, Kusum Deep, Jagdish Chand Bansal: "A Nature Inspired Adaptive Inertia weight in Particle Swarm Optimization", International Journal of Artificial Intelligence and Soft Computing, Inderscience. Full-Text


9. Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma: "Artificial bee colony algorithm with global and local neighborhoods", International Journal of Systems Assurance Engineering and Management, (2014). https://doi.org/10.1007/s13198-014-0286-6 Full-Text


8. Jagdish Chand Bansal, Shimpi Singh Jadon, Ritu Tiwari, Deep Kiran, B K Panigrahi: "Optimal Power flow Analysis using Artificial Bee Colony Algorithm with Global and Local Neighborhoods", International Journal of Systems Assurance Engineering and Management, (2017) 8(Suppl 4): 2158. https://doi.org/10.1007/s13198-014-0321-7 Full-Text


7. Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma: "Accelerating Artificial Bee Colony Algorithm with Adaptive Local Search", Memetic Computing, (2015) 7: 215. https://doi.org/10.1007/s12293-015-0158-x Full-Text 2016 Impact Factor 2.205


6. Ajay Sharma · Harish Sharma · Annapurna Bhargava · Nirmala Sharma · Jagdish Chand Bansal: "Optimal placement and sizing of capacitor using Limacon inspired Spider Monkey Optimization Algorithm", Memetic Computing, (2017) 9: 311. https://doi.org/10.1007/s12293-016-0208-z Full-Text


5. Jagdish Chand Bansal, Pushpa Farswan, A novel Disruption in Biogeography-Based Optimization with application to optimal power flow problem, Applied Intelligence, (2017) 46: 590. https://doi.org/10.1007/s10489-016-0848-1, Full-Text Impact Factor: 1.904


4. Kavita Sharma, Varsha Chhamunya, P C Gupta, Harish Sharma, Jagdish Chand Bansal, Fitness based particle swarm optimization, International Journal of System Assurance Engineering and Management, 2015, Volume 6, Issue 3, pp 319-329. Full-Text


3. Kavita Sharma, Kusum Deep, Jagdish Chand Bansal, Improving the local search ability of Spider Monkey Optimization algorithm using Quadratic Approximation for unconstrained optimization, Computational Intelligence, 33: 210–240. doi: 10.1111/coin.12081. Full-Text Impact Factor: 0.964


2. Ajay Sharma, Harish Sharma, Annapurna Bhargava, Nirmala Sharma, Jagdish Chand Bansal, Optimal Power Flow Analysis using Levy Flight Spider Monkey Optimization Algorithm" International Journal of Artificial Intelligence and Soft Computing (IJAISC), Jan 2016, Vol. 5, Issue 4, pp. 320-352. Full-Text


1. Kavita Gupta, Kusum Deep, Jagdish Chand Bansal, Spider monkey optimization algorithm for constrained optimization problems" Soft Computing, DOI 10.1007/s00500-016-2419-0 Full-Text 2016 Impact Factor 2.472