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The solar system algorithm: a novel metaheuristic method for global optimization
A novel metaheuristic algorithm for global optimization, called the Solar System Algorithm
(SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects …
(SSA), is presented. The proposed algorithm imitates the orbiting behavior of some objects …
[PDF][PDF] Effective classification of birds' species based on transfer learning
In recent years, with the deterioration of the earth's ecological environment, the survival of
birds has been more threatened. To protect birds and the diversity of species on earth, it is …
birds has been more threatened. To protect birds and the diversity of species on earth, it is …
An improved artificial bee colony algorithm based on mean best-guided approach for continuous optimization problems and real brain MRI images segmentation
The artificial bee colony (ABC) algorithm is a relatively new algorithm inspired by nature and
has been shown to be efficient in contrast to other optimization algorithms. Nonetheless …
has been shown to be efficient in contrast to other optimization algorithms. Nonetheless …
[HTML][HTML] Dimensionality reduction, modelling, and optimization of multivariate problems based on machine learning
Simulation-based optimization design is becoming increasingly important in engineering.
However, carrying out multi-point, multi-variable, and multi-objective optimization work is …
However, carrying out multi-point, multi-variable, and multi-objective optimization work is …
[HTML][HTML] Fuzzy clustering algorithm based on improved global best-guided artificial bee colony with new search probability model for image segmentation
Clustering using fuzzy C-means (FCM) is a soft segmentation method that has been
extensively investigated and successfully implemented in image segmentation. FCM is …
extensively investigated and successfully implemented in image segmentation. FCM is …
Fully automatic grayscale image segmentation based fuzzy C-means with firefly mate algorithm
Image segmentation is the method of dividing an image into many segments, comprising
groups of pixels. It is a process used to determine objects within the image. Fuzzy c-means …
groups of pixels. It is a process used to determine objects within the image. Fuzzy c-means …
[PDF][PDF] Spatial information of fuzzy clustering based mean best artificial bee colony algorithm for phantom brain image segmentation
Fuzzy c-means algorithm (FCM) is among the most commonly used in the medical image
segmentation process. Nevertheless, the traditional FCM clustering approach has been …
segmentation process. Nevertheless, the traditional FCM clustering approach has been …
[PDF][PDF] Automatic data clustering based mean best artificial bee colony algorithm
Fuzzy C-means (FCM) is a clustering method that falls under unsupervised machine
learning. The main issues plaguing this clustering algorithm are the number of the unknown …
learning. The main issues plaguing this clustering algorithm are the number of the unknown …
Opposition-based crossover operation for differential evolution algorithm
S Ebrahimi, S Rahnamayan… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Differential Evolution (DE) is widely recognized as an effective, robust, and gradient-free
global optimization algorithm. However, the DE algorithm's search strategy has certain …
global optimization algorithm. However, the DE algorithm's search strategy has certain …
[PDF][PDF] Cuckoo search algorithm based dynamic parameter adjustment mechanism for solving global optimization problems
W Alomoush - Int. J. Appl. Eng. Res, 2019 - researchgate.net
Cuckoo search algorithm CSA is a recent optimization algorithm of swarm intelligence,
which has demonstrated powerful outcomes on many optimization issues. nevertheless, it …
which has demonstrated powerful outcomes on many optimization issues. nevertheless, it …