Eagle Strategy in Nature-Inspired Optimization: Theory, Analysis, Applications, and Comparative Study DOI
Krishna Gopal Dhal, Arunita Das, Buddhadev Sasmal

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 31(3), С. 1213 - 1232

Опубликована: Окт. 24, 2023

Язык: Английский

Human-Inspired Optimization Algorithms: Theoretical Foundations, Algorithms, Open-Research Issues and Application for Multi-Level Thresholding DOI Open Access
Rebika Rai, Arunita Das, Swarnajit Ray

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2022, Номер 29(7), С. 5313 - 5352

Опубликована: Июнь 7, 2022

Язык: Английский

Процитировано

36

Lung X-Ray Image Segmentation Using Heuristic Red Fox Optimization Algorithm DOI Creative Commons
Antoni Jaszcz, Dawid Połap, Robertas Damaševičius

и другие.

Scientific Programming, Год журнала: 2022, Номер 2022, С. 1 - 8

Опубликована: Июль 31, 2022

Medical image segmentation identifies an area that should be analyzed later in the processing process, such as for disease recognition and classification. As search is reduced, this action allows faster computation analysis. We propose use of a heuristic red fox optimization algorithm (RFOA) medical paper. The heuristics’ operation was adapted to analysis two-dimensional images, with focus on equation modification novel fitness function. proposed solution analyzes by converting selected pixels one two color variants, black or white, based threshold value used. Their number counted, allowing chosen threshold. result, results automatic selection parameter. Our method new function adjustment RFOA used publicly available database lung X-ray images evaluation, results, accuracy performed, well discussion benefits drawbacks presented.

Язык: Английский

Процитировано

35

Archimedes Optimizer: Theory, Analysis, Improvements, and Applications DOI Open Access
Krishna Gopal Dhal, Swarnajit Ray, Rebika Rai

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(4), С. 2543 - 2578

Опубликована: Янв. 5, 2023

Язык: Английский

Процитировано

20

Recent Developments in Equilibrium Optimizer Algorithm: Its Variants and Applications DOI Open Access
Rebika Rai, Krishna Gopal Dhal

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(6), С. 3791 - 3844

Опубликована: Апрель 12, 2023

Язык: Английский

Процитировано

20

Multi-threshold segmentation of breast cancer images based on improved dandelion optimization algorithm DOI

Zhenghong Wang,

Fanhua Yu, Dan Wang

и другие.

The Journal of Supercomputing, Год журнала: 2023, Номер 80(3), С. 3849 - 3874

Опубликована: Сен. 7, 2023

Язык: Английский

Процитировано

15

Fundus image segmentation based on random collision whale optimization algorithm DOI
Donglin Zhu, Xingyun Zhu,

Yuemai Zhang

и другие.

Journal of Computational Science, Год журнала: 2024, Номер 80, С. 102323 - 102323

Опубликована: Май 24, 2024

Язык: Английский

Процитировано

5

XECryptoGA: a metaheuristic algorithm-based block cipher to enhance the security goals DOI
Md Saquib Jawed, Mohammad Sajid

Evolving Systems, Год журнала: 2022, Номер 14(5), С. 749 - 770

Опубликована: Сен. 21, 2022

Язык: Английский

Процитировано

19

Elite levy spreading differential evolution via ABC shrink-wrap for multi-threshold segmentation of breast cancer images DOI
Jie Xing,

Xinsen Zhou,

Hanli Zhao

и другие.

Biomedical Signal Processing and Control, Год журнала: 2023, Номер 82, С. 104592 - 104592

Опубликована: Янв. 18, 2023

Язык: Английский

Процитировано

12

Advancements in Q‐learning meta‐heuristic optimization algorithms: A survey DOI
Yang Yang, Yuchao Gao, Zhe Ding

и другие.

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Год журнала: 2024, Номер 14(6)

Опубликована: Авг. 18, 2024

Abstract This paper reviews the integration of Q‐learning with meta‐heuristic algorithms (QLMA) over last 20 years, highlighting its success in solving complex optimization problems. We focus on key aspects QLMA, including parameter adaptation, operator selection, and balancing global exploration local exploitation. QLMA has become a leading solution industries like energy, power systems, engineering, addressing range mathematical challenges. Looking forward, we suggest further integration, transfer learning strategies, techniques to reduce state space. article is categorized under: Technologies > Computational Intelligence Artificial

Язык: Английский

Процитировано

4

Optimizing Multilevel Image Segmentation with a Modified New Caledonian Crow Learning Algorithm DOI Creative Commons

Osama Moh'dAlia

Systems and Soft Computing, Год журнала: 2025, Номер unknown, С. 200206 - 200206

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0