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Dr Anupam Yadav


Last seen: 12 days 前 |  自 2018 起处于活动状态

Followers: 1   Following: 0

Professional Interests: Optimization, AI, Data Science

Programming Languages:
Python, MATLAB
Spoken Languages:
English, Hindi
Professional Interests:
Optimization

统计学

  • GitHub Submissions Level 2
  • 5-Star Galaxy Level 1
  • Personal Best Downloads Level 2
  • First Submission

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AEFA for Training Neural Network (GAEFA-HK)
Multi-Agent AEFA Optimization Algorithm for Training Neural Networks,

1 year 前 | 3 次下载 |

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iAEFA
This is the Matlab code of Adaptive Comprehensive Learning Artificial Electric Field Algorithm for Continuous Optimization Probl...

1 year 前 | 4 次下载 |

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Binary Artificial Electric Field Algorithm
Artificial Electric Field Algorithm (AEFA) is a population-based optimization techniques, it is inspired by the electrostatic fo...

1 year 前 | 1 次下载 |

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MO-NNA: A non-dominated sorting based mutlti-objective NNA
This is the Matlab code of "A non-dominated sorting-based multi-objective neural network algorithm" for solving multi-objective...

1 year 前 | 2 次下载 |

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AEFA-C for Constrained Optimization
This code is designed for constrained optimization problems.

4 years 前 | 5 次下载 |

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Neural Network Algorithm
A new metaheuristic optimization algorithm, inspired by biological nervous systems and artificial neural networks (ANNs) is prop...

5 years 前 | 3 次下载 |

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AEFA: Artificial Electric Field Algorithm
This simulates the charge movement of AEFA

5 years 前 | 2 次下载 |

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Particle Swarm Optimization: Easy Learning
This code is designed for the learning purpose. It contains one two file one for PSO and other for problem definition.

6 years 前 | 1 次下载 |