Quantum-inspired metaheuristic algorithms: comprehensive survey and classification
FS Gharehchopogh - Artificial Intelligence Review, 2023 - Springer
Metaheuristic algorithms are widely known as efficient solutions for solving problems of
optimization. These algorithms supply powerful instruments with significant engineering …
optimization. These algorithms supply powerful instruments with significant engineering …
A memory-based grey wolf optimizer for global optimization tasks
Abstract Grey Wolf Optimizer (GWO) is a new nature-inspired metaheuristic algorithm based
on the leadership and social behaviour of grey wolves in nature. It has shown potential to …
on the leadership and social behaviour of grey wolves in nature. It has shown potential to …
Tsallis entropy based multilevel thresholding for colored satellite image segmentation using evolutionary algorithms
In this paper, a new technique for color image segmentation using CS algorithm supported
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
by Tsallis entropy for multilevel thresholding has been proposed toward the effective colored …
A multi-scale 3D Otsu thresholding algorithm for medical image segmentation
Thresholding technique is one of the most imperative practices to accomplish image
segmentation. In this paper, a novel thresholding algorithm based on 3D Otsu and multi …
segmentation. In this paper, a novel thresholding algorithm based on 3D Otsu and multi …
Manta ray foraging optimizer-based image segmentation with a two-strategy enhancement
Image processing is an evolving field that calls for more powerful techniques to extract
useful information from images. In particular, image segmentation is a preprocessing step …
useful information from images. In particular, image segmentation is a preprocessing step …
[HTML][HTML] Shannon and fuzzy entropy based evolutionary image thresholding for image segmentation
MSR Naidu, PR Kumar, K Chiranjeevi - Alexandria engineering journal, 2018 - Elsevier
Image segmentation is a very important and pre-processing step in image analysis. The
conventional multilevel thresholding methods are efficient for bi-level thresholding because …
conventional multilevel thresholding methods are efficient for bi-level thresholding because …
A hybrid differential evolution for optimal multilevel image thresholding
Image thresholding is a process for separating interesting objects within an image from their
background. An optimal threshold's selection can be regarded as a single objective …
background. An optimal threshold's selection can be regarded as a single objective …
An efficient method for multilevel color image thresholding using cuckoo search algorithm based on minimum cross entropy
Among various thresholding methods, minimum cross entropy is implemented for its
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …
effectiveness and simplicity. Although it is efficient and gives excellent result in case of bi …
Auto-diagnosis of COVID-19 using lung CT images with semi-supervised shallow learning network
In the current world pandemic situation, the contagious Novel Coronavirus Disease 2019
(COVID-19) has raised a real threat to human lives owing to infection on lung cells and …
(COVID-19) has raised a real threat to human lives owing to infection on lung cells and …
An improved artificial bee colony and its application
Inspired by the intelligence of the foraging behavior of honeybee swarms, the artificial bee
colony (ABC) algorithm has shown competitive performance among evolutionary algorithms …
colony (ABC) algorithm has shown competitive performance among evolutionary algorithms …