COVID-19 chest CT scan image segmentation based on chaotic gravitational search algorithm DOI
Sajad Ahmad Rather, Sujit Das, Aybike Özyüksel Çiftçioğlu

et al.

Evolving Systems, Journal Year: 2024, Volume and Issue: 16(1)

Published: Nov. 20, 2024

Language: Английский

Recent applications and advances of African Vultures Optimization Algorithm DOI Creative Commons
Abdelazim G. Hussien, Farhad Soleimanian Gharehchopogh, Anas Bouaouda

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(12)

Published: Oct. 17, 2024

Language: Английский

Citations

10

Improved exponential distribution optimizer: enhancing global numerical optimization problem solving and optimizing machine learning paramseters DOI

Oluwatayomi Rereloluwa Adegboye,

Afi Kekeli Feda

Cluster Computing, Journal Year: 2024, Volume and Issue: 28(2)

Published: Nov. 26, 2024

Language: Английский

Citations

4

Atom Search Optimization: a comprehensive review of its variants, applications, and future directions DOI Creative Commons
M.A. El‐Shorbagy, Anas Bouaouda, Laith Abualigah

et al.

PeerJ Computer Science, Journal Year: 2025, Volume and Issue: 11, P. e2722 - e2722

Published: Feb. 28, 2025

The Atom Search Optimization (ASO) algorithm is a recent advancement in metaheuristic optimization inspired by principles of molecular dynamics. It mathematically models and simulates the natural behavior atoms, with interactions governed forces derived from Lennard-Jones potential constraint based on bond-length potentials. Since its inception 2019, it has been successfully applied to various challenges across diverse fields technology science. Despite notable achievements rapidly growing body literature ASO domain, comprehensive study evaluating success implementations still lacking. To address this gap, article provides thorough review half decade advancements research, synthesizing wide range studies highlight key variants, their foundational principles, significant achievements. examines applications, including single- multi-objective problems, introduces well-structured taxonomy guide future exploration ASO-related research. reviewed reveals that several variants algorithm, modifications, hybridizations, implementations, have developed tackle complex problems. Moreover, effectively domains, such as engineering, healthcare medical Internet Things communication, clustering data mining, environmental modeling, security, engineering emerging most prevalent application area. By addressing common researchers face selecting appropriate algorithms for real-world valuable insights into practical applications offers guidance designing tailored specific

Language: Английский

Citations

0

Optimized ensemble deep learning approach for accurate breast cancer diagnosis using transfer learning and grey wolf optimization DOI
Esraa Hassan, Abeer Saber, Shaker El–Sappagh

et al.

Evolving Systems, Journal Year: 2025, Volume and Issue: 16(2)

Published: April 29, 2025

Language: Английский

Citations

0

Detecting weak underwater acoustic signal with the combination of composite second-order tristable coupled stochastic resonance and improved variational mode decomposition DOI
Hong Yang,

Boao Liu,

Guohui Li

et al.

The European Physical Journal Plus, Journal Year: 2024, Volume and Issue: 139(9)

Published: Sept. 3, 2024

Language: Английский

Citations

3

COVID-19 chest CT scan image segmentation based on chaotic gravitational search algorithm DOI
Sajad Ahmad Rather, Sujit Das, Aybike Özyüksel Çiftçioğlu

et al.

Evolving Systems, Journal Year: 2024, Volume and Issue: 16(1)

Published: Nov. 20, 2024

Language: Английский

Citations

0