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Dr. Sulabh Bansal
Dr. Sulabh Bansal
Associate Professor at School of Computing and IT in Manipal University Jaipur. PhD in Algorithms
Geverifieerd e-mailadres voor jaipur.manipal.edu
Titel
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Geciteerd door
Jaar
Quantum-inspired evolutionary algorithm for difficult knapsack problems
C Patvardhan, S Bansal, A Srivastav
Memetic Computing 7, 135-155, 2015
312015
Parallel improved quantum inspired evolutionary algorithm to solve large size quadratic knapsack problems
C Patvardhan, S Bansal, A Srivastav
Swarm and Evolutionary Computation 26, 175-190, 2016
282016
Solving the 0–1 quadratic knapsack problem with a competitive quantum inspired evolutionary algorithm
C Patvardhan, S Bansal, A Srivastav
Journal of Computational and Applied mathematics 285, 86-99, 2015
272015
Is stochastic ranking really better than feasibility rules for constraint handling in evolutionary algorithms?
S Bansal, A Mani, C Patvardhan
2009 World Congress on Nature & Biologically Inspired Computing (NaBIC …, 2009
122009
Effective methods for constraint handling in quantum inspired evolutionary algorithm for multi-dimensional 0–1 knapsack problem
A Jindal, S Bansal
2019 4th International Conference on Information Systems and Computer …, 2019
62019
Classification criteria for data deduplication methods
S Bansal, P Sharma
Data Deduplication Approaches Concepts, Strategies, and Challenges by Thwel …, 2020
52020
Solution of “Hard” knapsack instances using quantum inspired evolutionary algorithm
C Patvardhan, S Bansal, A Srivastav
International Journal of Applied Evolutionary Computation (IJAEC) 5 (1), 52-68, 2014
52014
Balanced quantum-inspired evolutionary algorithm for multiple knapsack problem
C Patvardhan, S Bansal, A Srivastav
International Journal of Intelligent Systems and Applications 6 (11), 1, 2014
32014
Concepts, strategies, and challenges of data deduplication
P Sharma, S Bansal
Data Deduplication Approaches Concepts, Strategies, and Challenges by Thwel …, 2020
22020
A Generalized Parallel Quantum Inspired Evolutionary Algorithm Framework for Hard Subset Selection Problems: A GPQIEA for Subset Selection
S Bansal, C Patvardhan
International Journal of Applied Evolutionary Computation (IJAEC) 10 (4), 1-38, 2019
12019
An Improved Generalized Quantum-Inspired Evolutionary Algorithm for Multiple Knapsack Problem
S Bansal, C Patvardhan
International Journal of Applied Evolutionary Computation (IJAEC) 9 (1), 17-51, 2018
12018
Towards the right amount of randomness in quantum-inspired evolutionary algorithms
C Patvardhan, S Bansal, A Srivastav
Soft Computing 21, 1765-1784, 2017
12017
A New Quantum Inspired Algorithmic Approach to Finding Minimum Spanning Tree
A Kaur, S Bansal
2023 IEEE 20th India Council International Conference (INDICON), 527-532, 2023
2023
Simultaneous encryption and compression for securing large data transmission over a heterogeneous network
S Bhattacharjee, S Bansal
Applied Intelligence in Human-Computer Interaction, 129-142, 2023
2023
Applied Intelligence in Human-computer Interaction
S Bansal, PC Sharma, A Sharma, JR Chang
CRC Press, 2023
2023
An Improved Quantum Inspired Evolutionary Algorithm for the Solution of Minimum Spanning Tree
A Kaur, S Bansal
2023 10th International Conference on Computing for Sustainable Global …, 2023
2023
Wasserstein GANs-Enabled Spectral Normalization on Credit Card Fraud Detection
K Sharma, A Sharma, S Bansal
International Conference on Innovations in Computational Intelligence and …, 2022
2022
Incorporating Domain Information in Quantum Inspired Evolutionary Algorithm to Solve Quadratic Knapsack Problem
S Bansal, C Patvardhan
Advances in Computing, Control and Communication Technology 1, 115, 2016
2016
Swarm and Evolutionary Computation
C Patvardhan, S Bansal, A Srivastav
2015
Algorithm Engineering for solution of some hard Combinatorial Optimization Problems
S Bansal
Agra, 2013
2013
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Artikelen 1–20