M
Mahamed G. H. Omran
Researcher at Gulf University for Science and Technology
Publications - 54
Citations - 3890
Mahamed G. H. Omran is an academic researcher from Gulf University for Science and Technology. The author has contributed to research in topics: Multi-swarm optimization & Particle swarm optimization. The author has an hindex of 23, co-authored 51 publications receiving 3583 citations. Previous affiliations of Mahamed G. H. Omran include University of Pretoria & Information Technology University.
Papers
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Journal ArticleDOI
Global-best harmony search
TL;DR: A new variant of HS, called global-best harmony search (GHS), is proposed in this paper where concepts from swarm intelligence are borrowed to enhance the performance of HS.
Journal ArticleDOI
Particle swarm optimization method for image clustering
TL;DR: An image clustering method that is based on the particle swarm optimizer (PSO) that is applied to synthetic, MRI and satellite images and shows that the PSO image classifier performs better than state-of-the-art image classifiers in all measured criteria.
Book ChapterDOI
Self-adaptive differential evolution
TL;DR: A self-adaptive DE (SDE) is proposed where parameter tuning is not required and the performance of SDE is investigated and compared with other versions of DE.
Journal ArticleDOI
Dynamic clustering using particle swarm optimization with application in image segmentation
TL;DR: A new dynamic clustering approach (DCPSO), based on particle swarm optimization, is proposed, which is applied to image segmentation and generally found the “optimum” number of clusters on the tested images.
Journal ArticleDOI
An overview of clustering methods
TL;DR: This paper provides an overview of the different representative clustering methods and several clustering validations indices and approaches to automatically determine the number of clusters.