| A test-suite of non-convex constrained optimization problems from the real-world and some baseline results A Kumar, G Wu, MZ Ali, R Mallipeddi, PN Suganthan, S Das Swarm and evolutionary computation 56, 100693, 2020 | 401 | 2020 |
| Improving the local search capability of effective butterfly optimizer using covariance matrix adapted retreat phase A Kumar, RK Misra, D Singh 2017 IEEE congress on evolutionary computation (CEC), 1835-1842, 2017 | 285 | 2017 |
| A benchmark-suite of real-world constrained multi-objective optimization problems and some baseline results A Kumar, G Wu, MZ Ali, Q Luo, R Mallipeddi, PN Suganthan, S Das Swarm and Evolutionary Computation 67, 100961, 2021 | 171 | 2021 |
| Problem definitions and evaluation criteria for the CEC 2021 special session and competition on single objective bound constrained numerical optimization AW Mohamed, AA Hadi, AK Mohamed, P Agrawal, A Kumar, ... Tech. Rep., 2020 | 94 | 2020 |
| A self-adaptive spherical search algorithm for real-world constrained optimization problems A Kumar, S Das, I Zelinka Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 89 | 2020 |
| The spherical search algorithm for bound-constrained global optimization problems A Kumar, RK Misra, D Singh, S Mishra, S Das Applied Soft Computing 85, 105734, 2019 | 75 | 2019 |
| A modified covariance matrix adaptation evolution strategy for real-world constrained optimization problems A Kumar, S Das, I Zelinka Proceedings of the 2020 genetic and evolutionary computation conference …, 2020 | 68 | 2020 |
| Differential evolution with orthogonal array‐based initialization and a novel selection strategy A Kumar, PP Biswas, PN Suganthan Swarm and Evolutionary Computation 68, 101010, 2022 | 56 | 2022 |
| A reference vector-based simplified covariance matrix adaptation evolution strategy for constrained global optimization A Kumar, S Das, R Mallipeddi IEEE Transactions on Cybernetics 52 (5), 3696-3709, 2020 | 39 | 2020 |
| Power flow analysis of islanded microgrids: A differential evolution approach A Kumar, BK Jha, S Das, R Mallipeddi IEEE Access 9, 61721-61738, 2021 | 38 | 2021 |
| A Nested Backward/Forward Sweep Algorithm for Power Flow Analysis of Droop Regulated Islanded Microgrids A Kumar, B Jha, D Dheer, R MISRA, D SINGH IET Generation, Transmission & Distribution, 2019 | 35 | 2019 |
| A nested-iterative Newton-Raphson based power flow formulation for droop-based islanded microgrids A Kumar, BK Jha, DK Dheer, RK Misra, D Singh Electric Power Systems Research 180, 106131, 2020 | 28 | 2020 |
| Current injection‐based Newton–Raphson power‐flow algorithm for droop‐based islanded microgrids A Kumar, BK Jha, D Singh, RK Misra IET Generation, Transmission & Distribution 13 (23), 5271-5283, 2019 | 26 | 2019 |
| Phase unbalance and PAR constrained optimal active and reactive power scheduling of Virtual Power Plants (VPPs) BK Jha, A Singh, A Kumar, RK Misra, D Singh International Journal of Electrical Power & Energy Systems 125, 106443, 2021 | 24 | 2021 |
| A υ-constrained matrix adaptation evolution strategy with broyden-based mutation for constrained optimization A Kumar, S Das, AK Misra, D Singh IEEE Transactions on Cybernetics 52 (6), 4784-4796, 2021 | 23 | 2021 |
| A modified current injection load flow method under different load model of EV for distribution system BK Jha, A Kumar, DK Dheer, D Singh, RK Misra International Transactions on Electrical Energy Systems 30 (4), e12284, 2020 | 20 | 2020 |
| Testing a multi-operator based differential evolution algorithm on the 100-digit challenge for single objective numerical optimization A Kumar, RK Misra, D Singh, S Das 2019 IEEE Congress on Evolutionary Computation (CEC), 34-40, 2019 | 18 | 2019 |
| An inversion-free robust power-flow algorithm for microgrids A Kumar, S Das, R Mallipeddi IEEE Transactions on Smart Grid 12 (4), 2844-2859, 2021 | 16 | 2021 |
| Coordinated effect of PHEVs with DGs on distribution network BK Jha, A Kumar, D Singh, RK Misra International Transactions on Electrical Energy Systems 29 (4), e2800, 2019 | 16 | 2019 |
| Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests KV Price, A Kumar, PN Suganthan Swarm and Evolutionary Computation 78, 101287, 2023 | 15 | 2023 |
Swagatam DasProfessor, Electronics and Communication Sciences Unit, Indian Statistical Institute, KolkataVahvistettu sähköpostiosoite verkkotunnuksessa isical.ac.in