[HTML][HTML] An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
A survey on applications and variants of the cuckoo search algorithm
This paper introduces a comprehensive and exhaustive overview of the cuckoo search
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
algorithm (CSA). CSA is a metaheuristic swarm-based approach established by Yang and …
A novel black widow optimization algorithm for multilevel thresholding image segmentation
Segmentation is a crucial step in image processing applications. This process separates
pixels of the image into multiple classes that permits the analysis of the objects contained in …
pixels of the image into multiple classes that permits the analysis of the objects contained in …
HSMA_WOA: A hybrid novel Slime mould algorithm with whale optimization algorithm for tackling the image segmentation problem of chest X-ray images
M Abdel-Basset, V Chang, R Mohamed - Applied soft computing, 2020 - Elsevier
Recently, a novel virus called COVID-19 has pervasive worldwide, starting from China and
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
moving to all the world to eliminate a lot of persons. Many attempts have been experimented …
An improved African vultures optimization algorithm using different fitness functions for multi-level thresholding image segmentation
FS Gharehchopogh, T Ibrikci - Multimedia Tools and Applications, 2024 - Springer
Image segmentation is one of the most significant and required procedures in pre-
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
processing and analyzing images. Metaheuristic optimization algorithms are used to solve a …
Whale optimization algorithm and moth-flame optimization for multilevel thresholding image segmentation
M Abd El Aziz, AA Ewees, AE Hassanien - Expert Systems with Applications, 2017 - Elsevier
Determining the optimal thresholding for image segmentation has got more attention in
recent years since it has many applications. There are several methods used to find the …
recent years since it has many applications. There are several methods used to find the …
COVID-19 X-ray image segmentation by modified whale optimization algorithm with population reduction
S Chakraborty, AK Saha, S Nama, S Debnath - Computers in Biology and …, 2021 - Elsevier
Abstract Coronavirus disease 2019 (COVID-19) has caused a massive disaster in every
human life field, including health, education, economics, and tourism, over the last year and …
human life field, including health, education, economics, and tourism, over the last year and …
A hybrid COVID-19 detection model using an improved marine predators algorithm and a ranking-based diversity reduction strategy
M Abdel-Basset, R Mohamed, M Elhoseny… - IEEE …, 2020 - ieeexplore.ieee.org
Many countries are challenged by the medical resources required for COVID-19 detection
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
which necessitates the development of a low-cost, rapid tool to detect and diagnose the …
An efficient Harris hawks-inspired image segmentation method
E Rodríguez-Esparza, LA Zanella-Calzada… - Expert Systems with …, 2020 - Elsevier
Segmentation is a crucial phase in image processing because it simplifies the
representation of an image and facilitates its analysis. The multilevel thresholding method is …
representation of an image and facilitates its analysis. The multilevel thresholding method is …
[HTML][HTML] Dynamic harris hawks optimization with mutation mechanism for satellite image segmentation
In this paper, a novel satellite image segmentation technique based on dynamic Harris
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …
hawks optimization with a mutation mechanism (DHHO/M) is proposed. Compared with the …