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ORCIDJagdish Chand Bansal
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- affiliation: ABV-Indian Institute of Information Technology and Management, Gwalior, India
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2020 – today
- 2024
[j56]Prathu Bajpai
, Jagdish Chand Bansal:
Voronoi Tessellations based simple optimizer. Inf. Sci. 676: 120795 (2024)- [j55]Shitu Singh, Jagdish Chand Bansal:
A modified grey wolf optimizer for wind farm layout optimization problem. Int. J. Syst. Assur. Eng. Manag. 15(10): 4750-4778 (2024) - [j54]Probhat Pachung, Kopal Pandya, Atulya Nagar, Jagdish Chand Bansal:
Efficient 3D Path Planning for Drone Swarm Using Improved Sine Cosine Algorithm. SN Comput. Sci. 5(3): 286 (2024) - [j53]Prathu Bajpai, Ogbonnaya Anicho, Atulya K. Nagar, Jagdish Chand Bansal:
Dynamic Mutation Strategy Selection in Differential Evolution Using Perturbed Adaptive Pursuit. SN Comput. Sci. 5(6): 771 (2024) - 2023
- [j52]Shubham Gupta, Shitu Singh, Rong Su, Shangce Gao, Jagdish Chand Bansal:
Multiple Elite Individual Guided Piecewise Search-Based Differential Evolution. IEEE CAA J. Autom. Sinica 10(1): 135-158 (2023) - [j51]A. M. Mohiuddin, Jagdish Chand Bansal:
An improved linear prediction evolution algorithm based on nonlinear least square fitting model for optimization. Soft Comput. 27(19): 14019-14044 (2023) - [j50]Jagdish Chand Bansal, Nikhil Sethi, Ogbonnaya Anicho, Atulya Nagar:
Drone flocking optimization using NSGA-II and principal component analysis. Swarm Intell. 17(1-2): 63-87 (2023) - 2022
- [j49]Shitu Singh, Jagdish Chand Bansal:
Mutation-driven grey wolf optimizer with modified search mechanism. Expert Syst. Appl. 194: 116450 (2022) - [i2]Jagdish Chand Bansal, Nikhil Sethi, Ogbonnaya Anicho, Atulya Nagar:
Drone Flocking Optimization using NSGA-II and Principal Component Analysis. CoRR abs/2205.00432 (2022) - 2021
- [j48]Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar:
Special issue on swarm intelligence and its applications to engineering. Journal: evolutionary intelligence. Evol. Intell. 14(3): 1187-1188 (2021) - [j47]Jagdish Chand Bansal, Shitu Singh:
A better exploration strategy in Grey Wolf Optimizer. J. Ambient Intell. Humaniz. Comput. 12(1): 1099-1118 (2021) - [j46]Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal:
Grasshopper inspired artificial bee colony algorithm for numerical optimisation. J. Exp. Theor. Artif. Intell. 33(3): 363-381 (2021) - [j45]Shreya Pare, Himanshu Mittal, Mohammad Sajid, Jagdish Chand Bansal, Amit Saxena, Tony Jan, Witold Pedrycz, Mukesh Prasad:
Remote Sensing Imagery Segmentation: A Hybrid Approach. Remote. Sens. 13(22): 4604 (2021) - [j44]Susheel Kumar Joshi, Anshul Gopal, Shitu Singh, Atulya K. Nagar, Jagdish Chand Bansal:
A novel neighborhood archives embedded gravitational constant in GSA. Soft Comput. 25(8): 6539-6555 (2021) - [i1]Susheel Kumar Joshi, Jagdish Chand Bansal:
A binary variant of gravitational search algorithm and its application to windfarm layout optimization problem. CoRR abs/2107.11844 (2021) - 2020
- [j43]Vishal Chaudhary, Hari Mohan Dubey, Manjaree Pandit, Jagdish Chand Bansal:
Multi-area economic dispatch with stochastic wind power using Salp Swarm Algorithm. Array 8: 100044 (2020) - [j42]Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal:
Dung beetle inspired local search in artificial bee colony algorithm for unconstrained and constrained numerical optimisation. Int. J. Intell. Eng. Informatics 8(4): 268-304 (2020) - [j41]Susheel Kumar Joshi, Jagdish Chand Bansal:
Parameter tuning for meta-heuristics. Knowl. Based Syst. 189 (2020) - [j40]Sandeep Kumar, Basudev Sharma, Vivek Kumar Sharma, Harish Sharma, Jagdish Chand Bansal:
Plant leaf disease identification using exponential spider monkey optimization. Sustain. Comput. Informatics Syst. 28: 100283 (2020) - [c36]Himanshu Mittal, Mukesh Saraswat, Jagdish Chand Bansal, Atulya Nagar:
Fake-Face Image Classification using Improved Quantum-Inspired Evolutionary-based Feature Selection Method. SSCI 2020: 989-995 - [e21]Mohammad Shorif Uddin, Jagdish Chand Bansal:
Proceedings of International Joint Conference on Computational Intelligence, IJCCI 2018, Dhaka, Bangladesh, December 14-15, 2018. Algorithms for Intelligent Systems, Springer 2020, ISBN 978-981-13-7563-7 [contents] - [e20]Mohammad Shorif Uddin, Jagdish Chand Bansal:
Proceedings of International Joint Conference on Computational Intelligence, IJCCI 2019, Dhaka, Bangladesh, October 25-26, 2019. Algorithms for Intelligent Systems, Springer 2020, ISBN 978-981-15-3606-9 [contents] - [e19]Kedar Nath Das, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar, Ponnambalam Pathipooranam, Rani Chinnappa Naidu:
Soft Computing for Problem Solving - SocProS 2018, Volume 1, VIT Vellore, India, December 17-19, 2018. Advances in Intelligent Systems and Computing 1048, Springer 2020, ISBN 978-981-15-0034-3 [contents] - [e18]Kedar Nath Das, Jagdish Chand Bansal, Kusum Deep, Atulya K. Nagar, Ponnambalam Pathipooranam, Rani Chinnappa Naidu:
Soft Computing for Problem Solving - SocProS 2018, Volume 2, VIT Vellore, India, December 17-19, 2018. Advances in Intelligent Systems and Computing 1057, Springer 2020, ISBN 978-981-15-0183-8 [contents] - [e17]Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das:
Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 1, Liverpool Hope University, UK, 2-4 September 2019. Advances in Intelligent Systems and Computing 1138, Springer 2020, ISBN 978-981-15-3289-4 [contents] - [e16]Atulya K. Nagar, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das:
Soft Computing for Problem Solving 2019 - Proceedings of SocProS 2019, Volume 2, Liverpool Hope University, UK, 2-4 September 2019. Advances in Intelligent Systems and Computing 1139, Springer 2020, ISBN 978-981-15-3286-3 [contents]
2010 – 2019
- 2019
- [j39]Pushpa Farswan, Jagdish Chand Bansal:
Fireworks-inspired biogeography-based optimization. Soft Comput. 23(16): 7091-7115 (2019) - [c35]Apoorva Sharma, Nirmala Sharma, Harish Sharma, Jagdish Chand Bansal:
Exponential Adaptive Strategy in Spider Monkey Optimization Algorithm. SocProS (2) 2019: 1-15 - [e15]Jagdish Chand Bansal, Kedar Nath Das, Atulya Nagar, Kusum Deep, Akshay Kumar Ojha:
Soft Computing for Problem Solving - SocProS 2017, Volume 1, Bhubaneswar, India, December 23-24, 2017. Advances in Intelligent Systems and Computing 816, Springer 2019, ISBN 978-981-13-1591-6 [contents] - [e14]Jagdish Chand Bansal, Kedar Nath Das, Atulya Nagar, Kusum Deep, Akshay Kumar Ojha:
Soft Computing for Problem Solving - SocProS 2017, Volume 2, Bhubaneswar, India, December 23-24, 2017. Advances in Intelligent Systems and Computing 817, Springer 2019, ISBN 978-981-13-1594-7 [contents] - 2018
- [j38]Jagdish Chand Bansal, Anshul Gopal, Atulya K. Nagar:
Analysing Convergence, Consistency, and Trajectory of Artificial Bee Colony Algorithm. IEEE Access 6: 73593-73602 (2018) - [j37]Jagdish Chand Bansal, Susheel Kumar Joshi, Atulya K. Nagar:
Fitness varying gravitational constant in GSA. Appl. Intell. 48(10): 3446-3461 (2018) - [j36]Jagdish Chand Bansal, Susheel Kumar Joshi, Harish Sharma:
Modified global best artificial bee colony for constrained optimization problems. Comput. Electr. Eng. 67: 365-382 (2018) - [j35]Jagdish Chand Bansal, Pushpa Farswan, Atulya K. Nagar:
Design of wind farm layout with non-uniform turbines using fitness difference based BBO. Eng. Appl. Artif. Intell. 71: 45-59 (2018) - [j34]Millie Pant, Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Atulya K. Nagar:
Soft computing for problem solving (SocProS 2015). Int. J. Syst. Assur. Eng. Manag. 9(1): 1 (2018) - [j33]Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma:
Artificial bee colony algorithm with global and local neighborhoods. Int. J. Syst. Assur. Eng. Manag. 9(3): 589-601 (2018) - [j32]Jagdish Chand Bansal, Harish Sharma, Kusum Deep, Kedar Nath Das, Atulya Nagar:
Special issue on swarm intelligence and its applications to engineering. Int. J. Syst. Assur. Eng. Manag. 9(4): 739-740 (2018) - [j31]Shimpi Singh Jadon, Harish Sharma, Ritu Tiwari, Jagdish Chand Bansal:
Self-adaptive position update in artificial bee colony. Int. J. Syst. Assur. Eng. Manag. 9(4): 802-810 (2018) - [j30]Jagdish Chand Bansal, Anshul Gopal, Atulya K. Nagar:
Stability analysis of Artificial Bee Colony optimization algorithm. Swarm Evol. Comput. 41: 9-19 (2018) - [c34]Harish Sharma, Kritika Sharma, Nirmala Sharma, Assif Assad, Jagdish Chand Bansal:
Fitness-Based Controlled Movements in Artificial Bee Colony Algorithm. SocProS (1) 2018: 749-760 - 2017
- [j29]Jagdish Chand Bansal, Pushpa Farswan:
A novel disruption in biogeography-based optimization with application to optimal power flow problem. Appl. Intell. 46(3): 590-615 (2017) - [j28]Shimpi Singh Jadon, Ritu Tiwari, Harish Sharma, Jagdish Chand Bansal:
Hybrid Artificial Bee Colony algorithm with Differential Evolution. Appl. Soft Comput. 58: 11-24 (2017) - [j27]Kavita Gupta, Kusum Deep, Jagdish Chand Bansal:
Improving the Local Search Ability of Spider Monkey Optimization Algorithm Using Quadratic Approximation for Unconstrained Optimization. Comput. Intell. 33(2): 210-240 (2017) - [j26]Ajay Sharma, Harish Sharma, Annapurna Bhargava, Nirmala Sharma, Jagdish Chand Bansal:
Optimal placement and sizing of capacitor using Limaçon inspired spider monkey optimization algorithm. Memetic Comput. 9(4): 311-331 (2017) - [j25]Jagdish Chand Bansal, Shimpi Singh Jadon, Ritu Tiwari, Deep Kiran, Bijaya K. Panigrahi:
Optimal power flow using artificial bee colony algorithm with global and local neighborhoods. Int. J. Syst. Assur. Eng. Manag. 8(4s): 2158-2169 (2017) - [j24]Kavita Gupta, Kusum Deep, Jagdish Chand Bansal:
Spider monkey optimization algorithm for constrained optimization problems. Soft Comput. 21(23): 6933-6962 (2017) - [c33]Nirmala Sharma, Avinash Kaur, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal:
Chaotic Spider Monkey Optimization Algorithm with Enhanced Learning. SocProS (1) 2017: 149-161 - [c32]Prashant Sharma, Harish Sharma, Sandeep Kumar, Jagdish Chand Bansal:
A Review on Scale Factor Strategies in Differential Evolution Algorithm. SocProS (2) 2017: 925-943 - [e13]Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Arvind Kumar Lal, Harish Garg, Atulya K. Nagar, Millie Pant:
Proceedings of Sixth International Conference on Soft Computing for Problem Solving - SocProS 2016, Volume 1, Thapar University, Patiala, India, December 23-24, 2016. Advances in Intelligent Systems and Computing 546, Springer 2017, ISBN 978-981-10-3321-6 [contents] - [e12]Kusum Deep, Jagdish Chand Bansal, Kedar Nath Das, Arvind Kumar Lal, Harish Garg, Atulya K. Nagar, Millie Pant:
Proceedings of Sixth International Conference on Soft Computing for Problem Solving - SocProS 2016, Volume 2, Thapar University, Patiala, India, December 23-24, 2016. Advances in Intelligent Systems and Computing 547, 2017, ISBN 978-981-10-3324-7 [contents] - 2016
- [j23]Ajay Sharma, Harish Sharma, Annapurna Bhargava, Nirmala Sharma, Jagdish Chand Bansal:
Optimal power flow analysis using Lévy flight spider monkey optimisation algorithm. Int. J. Artif. Intell. Soft Comput. 5(4): 320-352 (2016) - [j22]Harish Sharma, Jagdish Chand Bansal, K. V. Arya, Xin-She Yang:
Lévy flight artificial bee colony algorithm. Int. J. Syst. Sci. 47(11): 2652-2670 (2016) - [j21]Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari:
Escalated convergent artificial bee colony. J. Exp. Theor. Artif. Intell. 28(1-2): 181-200 (2016) - [c31]Garima Hazrati, Harish Sharma, Nirmala Sharma, Jagdish Chand Bansal:
Modified spider monkey optimization. IWCI 2016: 209-214 - [c30]Anshul Gopal, Jagdish Chand Bansal:
Stability analysis of differential evolution. IWCI 2016: 221-223 - [c29]Susheel Kumar Joshi, Jagdish Chand Bansal:
Grey wolf gravitational search algorithm. IWCI 2016: 224-231 - [c28]Anivesh Agrawal, Pushpa Farswan, Vani Agrawal, D. C. Tiwari, Jagdish Chand Bansal:
On the Hybridization of Spider Monkey Optimization and Genetic Algorithms. SocProS (1) 2016: 185-196 - [e11]Millie Pant, Kusum Deep, Jagdish Chand Bansal, Atulya Nagar, Kedar Nath Das:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving - SocProS 2015, Volume 1, Saharanpur, Uttar Pradesh, India, December 18-20, 2015. Advances in Intelligent Systems and Computing 436, Springer 2016, ISBN 978-981-10-0447-6 [contents] - [e10]Millie Pant, Kusum Deep, Jagdish Chand Bansal, Atulya Nagar, Kedar Nath Das:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving - SocProS 2015, Volume 2, Saharanpur, Uttar Pradesh, India, December 18-20, 2015. Advances in Intelligent Systems and Computing 437, Springer 2016, ISBN 978-981-10-0450-6 [contents] - 2015
- [j20]Pranav Dass, Shimpi Singh Jadon, Harish Sharma, Jagdish Chand Bansal, Kendall E. Nygard:
Hybridisation of classical unidimensional search with ABC to improve exploitation capability. Int. J. Artif. Intell. Soft Comput. 5(2): 151-164 (2015) - [j19]Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma:
Accelerating Artificial Bee Colony algorithm with adaptive local search. Memetic Comput. 7(3): 215-230 (2015) - [j18]Kavita Sharma, Varsha Chhamunya, P. C. Gupta, Harish Sharma, Jagdish Chand Bansal:
Fitness based particle swarm optimization. Int. J. Syst. Assur. Eng. Manag. 6(3): 319-329 (2015) - [c27]Jagdish Chand Bansal:
Modified Blended Migration and Polynomial Mutation in Biogeography-Based Optimization. ICHSA 2015: 217-225 - [c26]Pushpa Farswan, Jagdish Chand Bansal, Kusum Deep:
A Modified Biogeography Based Optimization. ICHSA 2015: 227-238 - [c25]Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal:
Black Hole Artificial Bee Colony Algorithm. SEMCCO 2015: 214-221 - [c24]Nirmala Sharma, Harish Sharma, Ajay Sharma, Jagdish Chand Bansal:
Modified Artificial Bee Colony Algorithm Based on Disruption Operator. SocProS (2) 2015: 889-900 - [e9]Kedar Nath Das, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Atulya Nagar:
Proceedings of Fourth International Conference on Soft Computing for Problem Solving - SocProS 2014, Volume 1, NIT Silchar, Silchar, Assam, India, December 27-29, 2014. Advances in Intelligent Systems and Computing 335, Springer 2015, ISBN 978-81-322-2216-3 [contents] - [e8]Kedar Nath Das, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Atulya Nagar:
Proceedings of Fourth International Conference on Soft Computing for Problem Solving - SocProS 2014, Volume 2, NIT Silchar, Silchar, Assam, India, December 27-29, 2014. Advances in Intelligent Systems and Computing 336, Springer 2015, ISBN 978-81-322-2219-4 [contents] - 2014
- [j17]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Power law-based local search in artificial bee colony. Int. J. Artif. Intell. Soft Comput. 4(2/3): 164-194 (2014) - [j16]Madhuri Arya, Kusum Deep, Jagdish Chand Bansal:
A nature inspired adaptive inertia weight in particle swarm optimisation. Int. J. Artif. Intell. Soft Comput. 4(2/3): 228-248 (2014) - [j15]Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Atulya Nagar, Millie Pant:
Special Issue on Bio-Inspired Computing: Theories and Applications: Journal of Computational Science. J. Comput. Sci. 5(2): 135-136 (2014) - [j14]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Self Balanced Differential Evolution. J. Comput. Sci. 5(2): 312-323 (2014) - [j13]Jagdish Chand Bansal, Harish Sharma, Shimpi Singh Jadon, Maurice Clerc:
Spider Monkey Optimization algorithm for numerical optimization. Memetic Comput. 6(1): 31-47 (2014) - [c23]Pushpa Farswan, Jagdish Chand Bansal:
Migration in Biogeography-based Optimization. SocProS (2) 2014: 385-397 - [e7]B. V. Babu, Atulya Nagar, Kusum Deep, Millie Pant, Jagdish Chand Bansal, Kanad Ray, Umesh Gupta:
Proceedings of the Second International Conference on Soft Computing for Problem Solving, SocProS 2012, December 28-30, 2012, JK Lakshmipat University (JKLU), Jaipur, India. Advances in Intelligent Systems and Computing 236, Springer 2014, ISBN 978-81-322-1601-8 [contents] - [e6]Millie Pant, Kusum Deep, Atulya Nagar, Jagdish Chand Bansal:
Proceedings of the Third International Conference on Soft Computing for Problem Solving - SocProS 2013, Volume 1, Greater Noida Extension Centre, IIT Roorkee, India, December 26-28, 2013. Advances in Intelligent Systems and Computing 258, Springer 2014, ISBN 978-81-322-1770-1 [contents] - [e5]Millie Pant, Kusum Deep, Atulya Nagar, Jagdish Chand Bansal:
Proceedings of the Third International Conference on Soft Computing for Problem Solving - SocProS 2013, Volume 2, Greater Noida Extension Centre, IIT Roorkee, India, December 26-28, 2013. Advances in Intelligent Systems and Computing 259, Springer 2014, ISBN 978-81-322-1767-1 [contents] - 2013
- [j12]Jagdish Chand Bansal, Harish Sharma, Shimpi Singh Jadon:
Artificial bee colony algorithm: a survey. Int. J. Adv. Intell. Paradigms 5(1/2): 123-159 (2013) - [j11]Jagdish Chand Bansal, Harish Sharma, Atulya Nagar, K. V. Arya:
Balanced artificial bee colony algorithm. Int. J. Artif. Intell. Soft Comput. 3(3): 222-243 (2013) - [j10]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Power law-based local search in differential evolution. Int. J. Comput. Intell. Stud. 2(2): 90-112 (2013) - [j9]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Opposition based lévy flight artificial bee colony. Memetic Comput. 5(3): 213-227 (2013) - [j8]Jagdish Chand Bansal, Millie Pant, Kusum Deep, Harish Sharma:
Special issue on advances in nature inspired algorithms for complex numerical optimization problems. Memetic Comput. 5(4): 253-254 (2013) - [j7]Jagdish Chand Bansal, Harish Sharma, K. V. Arya, Atulya Nagar:
Memetic search in artificial bee colony algorithm. Soft Comput. 17(10): 1911-1928 (2013) - [c22]Pranav Dass, Harish Sharma, Jagdish Chand Bansal, Kendall E. Nygard:
Meta heuristics for prime factorization problem. NaBIC 2013: 126-131 - [c21]Harish Sharma, Pragati Shrivastava, Jagdish Chand Bansal, Ritu Tiwari:
Fitness Based Self Adaptive Differential Evolution. NICSO 2013: 71-84 - [c20]Harish Sharma, Shimpi Singh Jadon, Jagdish Chand Bansal, K. V. Arya:
Lèvy Flight Based Local Search in Differential Evolution. SEMCCO (1) 2013: 248-259 - [c19]Shimpi Singh Jadon, Jagdish Chand Bansal, Ritu Tiwari, Harish Sharma:
Expedited Artificial Bee Colony Algorithm. SocProS (2) 2013: 787-800 - [e4]Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Millie Pant, Atulya Nagar:
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) - Volume 1. Advances in Intelligent Systems and Computing 201, Springer 2013, ISBN 978-81-322-1037-5 [contents] - [e3]Jagdish Chand Bansal, Pramod Kumar Singh, Kusum Deep, Millie Pant, Atulya Nagar:
Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) - Volume 2. Advances in Intelligent Systems and Computing 202, Springer 2013, ISBN 978-81-322-1040-5 [contents] - 2012
- [j6]Jagdish Chand Bansal, Kusum Deep:
A Modified Binary Particle Swarm Optimization for Knapsack Problems. Appl. Math. Comput. 218(22): 11042-11061 (2012) - [j5]Harish Sharma, Jagdish Chand Bansal, K. V. Arya, Kusum Deep:
Dynamic Swarm Artificial Bee Colony Algorithm. Int. J. Appl. Evol. Comput. 3(4): 19-33 (2012) - [j4]Kusum Deep, Jagdish Chand Bansal:
Solving Economic Dispatch Problems with Valve-point Effects using Particle Swarm Optimization. J. Univers. Comput. Sci. 18(13): 1842-1852 (2012) - [j3]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 Comput. 4(3): 209-229 (2012) - [j2]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Fitness based Differential Evolution. Memetic Comput. 4(4): 303-316 (2012) - [c18]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Diversity Measures in Artificial Bee Colony. BIC-TA (1) 2012: 299-314 - [c17]Shimpi Singh Jadon, Harish Sharma, Jagdish Chand Bansal, Ritu Tiwari:
Self Adaptive Acceleration Factor in Particle Swarm Optimization. BIC-TA (1) 2012: 325-340 - [c16]Tarun Kumar Sharma, Millie Pant, Jagdish Chand Bansal:
Artificial bee colony with mean mutation operator for better exploitation. IEEE Congress on Evolutionary Computation 2012: 1-7 - [c15]Tarun Kumar Sharma, Millie Pant, Jagdish Chand Bansal:
Some modifications to enhance the performance of Artificial Bee Colony. IEEE Congress on Evolutionary Computation 2012: 1-8 - [e2]Kusum Deep, Atulya Nagar, Millie Pant, Jagdish Chand Bansal:
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 - Volume 1. Advances in Intelligent and Soft Computing 130, Springer 2012, ISBN 978-81-322-0486-2 [contents] - [e1]Kusum Deep, Atulya Nagar, Millie Pant, Jagdish Chand Bansal:
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011 - Volume 2. Advances in Intelligent and Soft Computing 131, Springer 2012, ISBN 978-81-322-0490-9 [contents] - 2011
- [c14]Kusum Deep, Madhuri Arya, Jagdish Chand Bansal:
A non-deterministic adaptive inertia weight in PSO. GECCO 2011: 1155-1162 - [c13]Jagdish Chand Bansal, P. K. Singh, Mukesh Saraswat, Abhishek Verma, Shimpi Singh Jadon, Ajith Abraham:
Inertia Weight strategies in Particle Swarm Optimization. NaBIC 2011: 633-640 - [c12]Jagdish Chand Bansal, Harish Sharma, K. V. Arya:
Model Order Reduction of Single Input Single Output Systems Using Artificial Bee Colony Optimization Algorithm. NICSO 2011: 85-100 - [c11]Harish Sharma, Jagdish Chand Bansal, K. V. Arya:
Dynamic Scaling Factor Based Differential Evolution Algorithm. SocProS (1) 2011: 73-85 - [c10]Vivek Agrawal, Harish Sharma, Jagdish Chand Bansal:
Bacterial Foraging Optimization: A Survey. SocProS (1) 2011: 227-242 - [c9]Harish Sharma, Abhishek Verma, Jagdish Chand Bansal:
Group Social Learning in Artificial Bee Colony Optimization Algorithm. SocProS (1) 2011: 441-451 - [c8]Shimpi Singh Jadon, Harish Sharma, Etesh Kumar, Jagdish Chand Bansal:
Application of Binary Particle Swarm Optimization in Cryptanalysis of DES. SocProS (1) 2011: 1061-1071 - 2010
- [c7]Kusum Deep, Jagdish Chand Bansal:
Particle Swarm Optimization for economic dispatch problems with valve-point effects. BIC-TA 2010: 1395-1398 - [c6]Jagdish Chand Bansal, Kusum Deep:
Quadratic Approximation PSO for Economic Dispatch Problems with Valve-Point Effects. SEMCCO 2010: 460-467
2000 – 2009
- 2009
- [j1]Kusum Deep, Jagdish Chand Bansal:
Mean particle swarm optimisation for function optimisation. Int. J. Comput. Intell. Stud. 1(1): 72-92 (2009) - [c5]Kusum Deep, Jagdish Chand Bansal:
Optimization of Directional Overcurrent Relay Times using Laplace Crossover Particle Swarm Optimization (LXPSO). NaBIC 2009: 288-293 - [c4]Kusum Deep, Pinkey Chauhan, Jagdish Chand Bansal:
Solving Nonconvex Trim Loss Problem using an Efficient Hybrid Particle Swarm Optimization. NaBIC 2009: 1608-1611 - [c3]Jagdish Chand Bansal, Kusum Deep, Kalyan Veeramachaneni, Lisa Ann Osadciw:
Information sharing strategy among particles in Particle Swarm Optimization using Laplacian operator. SIS 2009: 30-36 - 2008
- [c2]Kusum Deep, Jagdish Chand Bansal:
A Socio-Cognitive Particle Swarm Optimization for Multi-Dimensional Knapsack Problem. ICETET 2008: 355-360 - [c1]Jagdish Chand Bansal, Kusum Deep:
Optimization of directional overcurrent relay times by particle swarm optimization. SIS 2008: 1-7 - 2007
- [p1]Kusum Deep, Jagdish Chand Bansal:
Performance Analysis of Turning Process via Particle Swarm Optimization. NICSO 2007: 453-460
Coauthor Index
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to record detail pages.
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-11-07 20:33 CET by the dblp team
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