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Ali Asghar Heidari


National University of Singapore, University of Tehran, Wenzhou University

Last seen: 13 days ago Active since 2021

Ali Asghar Heidari has been an Exceptionally Talented Researcher with the School of Computing, National University of Singapore (NUS), and University of Tehran. He is also an Elite Researcher of Iran National Elites Foundation (INEF). He ranked among the worlds top 2% scientists list of Stanford University and top scientists for Computer science prepared by Guide2Research as an outstanding researcher. He has authored more than 110 research articles with over 6400 citations i10-index of 72 and H-index of 45 in prestigious international journals.

Programming Languages:
MATLAB
Spoken Languages:
English

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INFO: Efficient Optimizer based on Weighted Mean of Vectors
INFO: An Efficient Optimization Algorithm based on Weighted Mean of Vectors The source codes at: https://aliasgharheidari.com/IN...

4 months ago | 10 downloads |

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Submitted


RUN beyond Metaphor: An Efficient Optimization Algorithm
An Efficient Optimization Algorithm Based on Runge Kutta Method

1 year ago | 11 downloads |

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Hunger Games Search (HGS): Towards Performance Shifts
A novel algorithm (HGS) is proposed for global search and Optimization in real world. Visit for files: https://aliasgharheidari....

1 year ago | 15 downloads |

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Harris hawks optimization (HHO): Algorithm and applications
Harris Hawks Optimizer (HHO) is a novel meta-heuristic optimization paradigm for global optimization

1 year ago | 62 downloads |

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Slime Mould Algorithm (SMA): A Method for Optimization
A new stochastic optimizer slime mould algorithm (SMA): https://aliasgharheidari.com/SMA.html

1 year ago | 36 downloads |

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