H
Hamed Shah-Hosseini
Researcher at Shahid Beheshti University
Publications - 25
Citations - 1495
Hamed Shah-Hosseini is an academic researcher from Shahid Beheshti University. The author has contributed to research in topics: Self-organizing map & Metaheuristic. The author has an hindex of 17, co-authored 25 publications receiving 1304 citations. Previous affiliations of Hamed Shah-Hosseini include Amirkabir University of Technology.
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Journal ArticleDOI
The intelligent water drops algorithm: a nature-inspired swarm-based optimization algorithm
TL;DR: The intelligent water drops (IWD) algorithm is tested to find solutions of the n-queen puzzle with a simple local heuristic and the travelling salesman problem (TSP) is also solved with a modified IWD algorithm.
Journal ArticleDOI
Principal components analysis by the galaxy-based search algorithm: a novel metaheuristic for continuous optimisation
TL;DR: Experimental results demonstrate that the proposed Galaxy-based search algorithm for the principal components analysis or GbSA-PCA is a promising tool for the PCA estimation.
Journal ArticleDOI
Intelligent water drops algorithm: A new optimization method for solving the multiple knapsack problem
TL;DR: The results demonstrate that the proposed IWD‐MKP algorithm is trustable and promising in finding the optimal or near‐optimal solutions and it is proved that the IWD algorithm has the property of the convergence in value.
Journal ArticleDOI
A novel fuzzy facial expression recognition system based on facial feature extraction from color face images
TL;DR: A new method for Emotion Recognition from Facial Expression using Fuzzy Inference System (FIS) is proposed, which is even able to recognize emotions from Partially Occluded Facial Images.
Book ChapterDOI
Optimization with the Nature-Inspired Intelligent Water Drops Algorithm
TL;DR: The Intelligent Water Drops algorithm and its versions are specified for the TSP, the n-queen puzzle, the MKP, and for the first time, the AMT (Automatic Multilevel Thresholding).