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 …
Image segmentation using multilevel thresholding: a research review
Image segmentation is a basic problem in computer vision and various image processing
applications. Over the years, commonly used image segmentation has become quite …
applications. Over the years, commonly used image segmentation has become quite …
Putting continuous metaheuristics to work in binary search spaces
In the real world, there are a number of optimization problems whose search space is
restricted to take binary values; however, there are many continuous metaheuristics with …
restricted to take binary values; however, there are many continuous metaheuristics with …
An efficient multilevel color image thresholding based on modified whale optimization algorithm
Color image segmentation is a vital preprocessing stage in various image processing
applications. In threshold-based segmentation, the success of the image segmentation …
applications. In threshold-based segmentation, the success of the image segmentation …
Nature-inspired optimization algorithms and their application in multi-thresholding image segmentation
In the field of image processing, there are several problems where an efficient search of the
solutions has to be performed within a complex search domain to find an optimal solution …
solutions has to be performed within a complex search domain to find an optimal solution …
An efficient krill herd algorithm for color image multilevel thresholding segmentation problem
L He, S Huang - Applied Soft Computing, 2020 - Elsevier
The conventional thresholding methods are very efficient for bi-level thresholding, but the
computational complexity may be excessively high for color image multilevel thresholding …
computational complexity may be excessively high for color image multilevel thresholding …
A novel color image multilevel thresholding based segmentation using nature inspired optimization algorithms
Multilevel thresholding for segmentation is an essential task and indispensable process in
various applications. Conventional color multilevel thresholding based image …
various applications. Conventional color multilevel thresholding based image …
Quantum inspired meta-heuristic approach for optimization of genetic algorithm
V Ganesan, M Sobhana, G Anuradha… - Computers & Electrical …, 2021 - Elsevier
An optimization search technique evaluates the potential solution and frames the better
solution by any of its befitting categories such as quantum-based approaches, meta …
solution by any of its befitting categories such as quantum-based approaches, meta …
Multilevel color image segmentation based on GLCM and improved salp swarm algorithm
The grayscale co-occurrence matrix (GLCM) can be adapted to segment the image
according to the pixels, but the segmentation effect becomes worse as the number of …
according to the pixels, but the segmentation effect becomes worse as the number of …
A k-means binarization framework applied to multidimensional knapsack problem
The multidimensional knapsack problem (MKP) is one of the widely known integer
programming problems. The MKP has received significant attention from the operational …
programming problems. The MKP has received significant attention from the operational …