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Assistant Professor

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 at South Asian University New Delhi. Dr. Bansal has obtained his PhD 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 has edited 7 special issues of various international journals published by Elsevier, Springer and Inderscience. He was also one of the organizers of international conferences BIC-TA 2012 at ABV-IIITM Gwalior, India, and annual conference series SocProS. He is the general secretary of Soft Computing Research Society. 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

1. 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


2. Jagdish Chand Bansal, Harish Sharma, K V Arya, Kusum Deep, Millie Pant: "Self-adaptive artificial bee colony Optimization", Taylor & Francis, 1-20 (2014). Full-Text


3. 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


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


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


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


7. 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


8. 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


9. Jagdish Chand Bansal, Kusum Deep: "A Modified Binary Particle Swarm Optimization for Knapsack Problems". Applied Mathematics and Computation 218(22): 11042-11061 (2012). PDF


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


11. 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


12. 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


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


14. Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Self balanced differential evolution", Journal of Computational Science, Elsevier, (2012). Full-Text


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


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


17. 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


18. 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


19. 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


20. 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, Springer, 2014, 1-13. Full-Text


21. Jagdish Chand Bansal, Harish Sharma, K V Arya, Kusum Deep and Millie Pant: "Self Adaptive Artificial Bee Colony Optimization", Taylor and Francis. Full-Text


22. 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, Springer, 2014, 1-12. Full-Text


23. Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma: "Accelerating Artificial Bee Colony Algorithm with Adaptive Local Search", Memetic Computing, Springer. Full-Text


24. 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, Accepted, In Press Full-Text


25. Jagdish Chand Bansal, Pushpa Farswan, A novel Disruption in Biogeography-Based Optimization with application to optimal power flow problem, Applied Intelligence, In Press, Full-Text


26. 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


27. 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, Accepted, In Press. Full-Text


28. 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), In Press. Full-Text