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Nibedan Panda
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2020 – today
- 2025
- [j6]Ajit Kumar Mahapatra, Nibedan Panda, Binod Kumar Pattanayak:
Adaptive dimensional search-based orthogonal experimentation SSA (ADOX-SSA) for training RBF neural network and optimal feature selection. J. Supercomput. 81(1): 212 (2025) - 2023
- [j5]Ajit Kumar Mahapatra, Nibedan Panda, Binod Kumar Pattanayak:
An improved pathfinder algorithm (ASDR-PFA) based on adaptation of search dimensional ratio for solving global optimization problems and optimal feature selection. Prog. Artif. Intell. 12(4): 323-348 (2023) - 2021
- [j4]Madugula Murali Krishna, Nibedan Panda, Santosh Kumar Majhi:
Solving traveling salesman problem using hybridization of rider optimization and spotted hyena optimization algorithm. Expert Syst. Appl. 183: 115353 (2021) - [j3]Nibedan Panda, Santosh Kumar Majhi:
Oppositional salp swarm algorithm with mutation operator for global optimization and application in training higher order neural networks. Multim. Tools Appl. 80(28-29): 35415-35439 (2021) - 2020
- [j2]Nibedan Panda, Santosh Kumar Majhi:
Improved spotted hyena optimizer with space transformational search for training pi-sigma higher order neural network. Comput. Intell. 36(1): 320-350 (2020) - [j1]Nibedan Panda, Santosh Kumar Majhi, Sarishma Singh, Abhirup Khanna:
Oppositional spotted hyena optimizer with mutation operator for global optimization and application in training wavelet neural network. J. Intell. Fuzzy Syst. 38(5): 6677-6690 (2020)
2010 – 2019
- 2019
- [c1]Nibedan Panda, Santosh Kumar Majhi:
Effectiveness of Swarm-Based Metaheuristic Algorithm in Data Classification Using Pi-Sigma Higher Order Neural Network. ICACIE (2) 2019: 77-88
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