Jagdish Chand Bansal, Shitu Singh: "A better exploration strategy in Grey Wolf Optimizer", Journal of Ambient Intelligence and Humanized Computing | Impact factor 1.91

DOI https://doi.org/10.1007/s12652-020-02153-1

Susheel Kumar Joshi, Jagdish Chand Bansal: "Parameter Tuning for Meta-heuristics", Knowledge-Based Systems, 189 (2020): 105094 | Impact Factor 5.101

https://doi.org/10.1016/j.knosys.2019.105094 

Anshul Gopal, Mohammad Mahdi Sultani, Jagdish Chand Bansal: "On Stability Analysis of Particle Swarm Optimization Algorithm", Arabian Journal for Science and Engineering  45, 2385–2394 (2020) | Impact Factor: 1.518

https://doi.org/10.1007/s13369-019-03991-8

Soniya Lalwani, Harish Sharma, Suresh Chandra Satapathy, Kusum Deep, Jagdish Chand Bansal: "A Survey on Parallel Particle Swarm Optimization Algorithms", Arabian Journal for Science and Engineering, 44, 2899–2923 (2019) | Impact Factor: 1.518

https://doi.org/10.1007/s13369-018-03713-6

Jagdish Chand Bansal, Anshul Gopal, Atulya K Nagar: "Analysing convergence, consistency and trajectory of Artificial Bee Colony Algorithm", IEEE Access vol. 6, pp. 73593-73602, 2018 | Impact Factor: 4.098

10.1109/ACCESS.2018.2884255 

Sandeep Kumar, Basudev Sharma, Vivek Kumar Sharma, Harish Sharma, Jagdish Chand Bansal: "Plant Leaf Disease Identification using Exponential Spider Monkey Optimization", Sustainable Computing, Informatics and Systems, 2018 | Impact Factor: 1.8

https://doi.org/10.1016/j.suscom.2018.10.004

Nirmala Sharmaa, Harish Sharma, Ajay Sharma, and Jagdish Chand Bansal: "Grasshopper inspired artificial bee colony algorithm for numerical optimization", Journal of Experimental & Theoretical Artificial Intelligence, 2018 | Impact Factor: 2.111

https://doi.org/10.1080/0952813X.2018.1552317

Pushpa Farswan, Jagdish Chand Bansal: "Fireworks-inspired biogeography-based optimization", Soft Computing, 23, pages7091–7115(2019) | Impact Factor: 2.784

https://doi.org/10.1007/s00500-018-3351-2 

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, Pages 45-59, 2018 | Impact Factor: 3.526

https://doi.org/10.1016/j.engappai.2018.02.007

Jagdish Chand Bansal, Anshul Gopal, Atulya Kumar Nagar: "Stability Analysis of Artificial Bee Colony Optimization Algorithm", Swarm and Evolutionary Computation, Volume 41, Pages 9-19, 2018 | Impact Factor: 6.33

https://doi.org/10.1016/j.swevo.2018.01.003

Jagdish Chand Bansal, Susheel Kumar Joshi, Atulya Kumar Nagar: "Fitness Varying Gravitational Constant in GSA", Applied Intelligence, 48, pages3446–3461(2018) | Impact Factor: 2.882

https://doi.org/10.1007/s10489-018-1148-8

Jagdish Chand Bansal, Susheel Kumar Joshi, Harish Sharma: "Modified global best artificial bee colony for constrained optimization problems", Computers & Electrical Engineering, Volume 67, Pages 365-382, 2018 | Impact Factor: 2.189

https://doi.org/10.1016/j.compeleceng.2017.10.021

Shimpi Singh Jadon, Ritu Tiwari, Harish Sharma and Jagdish Chand Bansal: "Hybrid Artificial Bee Colony Algorithm with Differential Evolution", Applied Soft Computing, Volume 58, Pages 11-24, 2017 | Impact Factor: 4.873

https://doi.org/10.1016/j.asoc.2017.04.018

Jagdish Chand Bansal and Pushpa Farswan: "Wind farm layout using Biogeography Based Optimization", Renewable Energy (2017), Volume 107, Pages 386-402  | Impact Factor: 5.439

https://doi.org/10.1016/j.renene.2017.01.064

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 (2017), Volume33, Issue2, 2017, Pages 210-240 | Impact Factor: 0.776

https://doi.org/10.1111/coin.12081 

Jagdish Chand Bansal, Pushpa Farswan, A novel Disruption in Biogeography-Based Optimization with application to optimal power flow problem, Applied Intelligence, 46, pages 590–615(2017) 46: 590 | Impact Factor: 2.882 

https://doi.org/10.1007/s10489-016-0848-1

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, 9, pages311–331(2017) | Impact Factor: 2.674 

https://doi.org/10.1007/s12293-016-0208-z 

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. | Impact Factor: 2.111

https://doi.org/10.1080/0952813X.2015.1020523

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. | Impact Factor: 1.206

https://doi.org/10.1080/02331934.2014.917302

Jagdish Chand Bansal, Harish Sharma, Shimpi Singh Jadon, Maurice Clerc: "Spider Monkey Optimization algorithm for numerical optimization". Memetic Computing 6(1): 31-47 (2014). | Impact Factor: 2.674

https://doi.org/10.1007/s12293-013-0128-0

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

10.1504/IJAIP.2013.054681

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

10.1504/IJAISC.2013.053392

Harish Sharma, Jagdish Chand Bansal, K. V. Arya: "Opposition based lévy flight artificial bee colony". Memetic Computing 5(3): 213-227 (2013). | Impact Factor: 2.674

https://doi.org/10.1007/s12293-012-0104-0

Jagdish Chand Bansal, Harish Sharma, K. V. Arya, Atulya Nagar: "Memetic search in artificial bee colony algorithm". Soft Computing. 17(10): 1911-1928 (2013). | Impact Factor: 2.784

https://doi.org/10.1007/s00500-013-1032-8

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). | Impact Factor: 2.469

https://doi.org/10.1080/00207721.2016.1165895

Jagdish Chand Bansal, Kusum Deep: "A Modified Binary Particle Swarm Optimization for Knapsack Problems". Applied Mathematics and Computation 218(22): 11042-11061 (2012). | Impact Factor: 3.092

https://doi.org/10.1016/j.amc.2012.05.001

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

DOI: 10.4018/jaec.2012100102

Kusum Deep, Jagdish Chand Bansal: "Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization". J. UCS 18(13): 1842-1852 (2012).

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).

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

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

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

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

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.

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

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., 2014

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

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

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

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

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