| Quantum-inspired evolutionary algorithm for difficult knapsack problems C Patvardhan, S Bansal, A Srivastav Memetic Computing 7, 135-155, 2015 | 35 | 2015 |
| 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 | 31 | 2015 |
| 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 | 27 | 2016 |
| 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 | 12 | 2009 |
| 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 | 6 | 2019 |
| Classification criteria for data deduplication methods S Bansal, P Sharma Data Deduplication Approaches Concepts, Strategies, and Challenges by Thwel …, 2020 | 5 | 2020 |
| 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 | 5 | 2014 |
| 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 | 3 | 2023 |
| Concepts, strategies, and challenges of data deduplication P Sharma, S Bansal Data Deduplication Approaches Concepts, Strategies, and Challenges by Thwel …, 2020 | 3 | 2020 |
| 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 | 3 | 2014 |
| Optimizing Artificial Neural‐Network Using Genetic Algorithm B Pratap, S Bansal Bio‐Inspired Optimization for Medical Data Mining, 269-288, 2024 | 2 | 2024 |
| Applied Intelligence in Human-computer Interaction S Bansal, PC Sharma, A Sharma, JR Chang CRC Press, 2023 | 1 | 2023 |
| 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 | 1 | 2019 |
| 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 | 1 | 2018 |
| Towards the right amount of randomness in quantum-inspired evolutionary algorithms C Patvardhan, S Bansal, A Srivastav Soft Computing 21, 1765-1784, 2017 | 1 | 2017 |
| Role of artificial neural networks in fortifying cybersecurity: A review A Yadav, V Aggarwal, S Bansal AIP Conference Proceedings 3253 (1), 2025 | | 2025 |
| OPTIMUM RBM ENCODED SVM MODEL WITH ENSEMBLE FEATURE EXTRACTOR-BASED PLANT DISEASE PREDICTION P Sharma, DP Sharma, S Bansal Chemometrics and Intelligent Laboratory Systems, 105319, 2025 | | 2025 |
| Red deer algorithm to detect the secret key of the monoalphabetic cryptosystem A Jain, S Bansal, NN Das, SS Gupta Soft Computing 28 (17), 10569-10582, 2024 | | 2024 |
| 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 |
| Detection of Tuberculosis from Chest X-Rays Using Convolutional Neural Network S Bansal, P Patel, A Harjai International Conference on Smart Systems: Innovations in Computing, 579-592, 2023 | | 2023 |
