Improved genetic algorithm for multi-threshold optimization in digital pathology image segmentation DOI Creative Commons
Tangsen Huang, Haibing Yin, Xingru Huang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 28, 2024

Language: Английский

An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm DOI
Essam H. Houssein, Doaa A. Abdelkareem,

Marwa M. Emam

et al.

Computers in Biology and Medicine, Journal Year: 2022, Volume and Issue: 149, P. 106075 - 106075

Published: Sept. 6, 2022

Language: Английский

Citations

124
A Dynamic Optimal Scheduling Strategy for Multi-Charging Scenarios of Plug-in-Electric Vehicles Over a Smart Grid DOI Creative Commons
Ijaz Ahmed, Muhammad Rehan, Abdul Basit

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 28992 - 29008

Published: Jan. 1, 2023

Green transportation has become our top priority due to the depletion of earth's natural resources and rising pollutant emission levels. Plug-in electric vehicles (PEVs) are seen as a solution problem because they more cost environment friendly. Due rapid industrialization government incentives for zero-emission transportation, significant challenge is also constituted in power grids by self-interested nature PEVs, with asymmetry information between charging demand supply sides. In this paper, we propose an optimal strategy industrial energy management system, based on evolutionary computing, characterize different situations. The proposed approach considers stochastic, off-peak, peak, research institute scenarios attaining vehicle-to-grid capacity terms demand. An extensive scheduling cases studied order avoid outages or which there supply-demand mismatch. Furthermore, scheme model reduces greenhouse gases from generation side build sustainable infrastructure, maximizes utility fuel-based production presence certain nonlinear constraints. simulation analysis demonstrates that PEVs can be charged discharged systematic manner. participation transferable load through methodology significantly reduce economic costs, impacts, efficiency, security grid operation.

Language: Английский

Citations

68
A survey on recent trends in deep learning for nucleus segmentation from histopathology images DOI Open Access

Anusua Basu,

Pradip Senapati,

Mainak Deb

et al.

Evolving Systems, Journal Year: 2023, Volume and Issue: 15(1), P. 203 - 248

Published: March 6, 2023

Language: Английский

Citations

45
A Comprehensive Survey on Aquila Optimizer DOI Open Access
Buddhadev Sasmal, Abdelazim G. Hussien, Arunita Das

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4449 - 4476

Published: June 7, 2023

Language: Английский

Citations

37
A Comprehensive Survey on Arithmetic Optimization Algorithm DOI Open Access
Krishna Gopal Dhal, Buddhadev Sasmal, Arunita Das

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(5), P. 3379 - 3404

Published: March 15, 2023

Language: Английский

Citations

31
An Inclusive Survey on Marine Predators Algorithm: Variants and Applications DOI Open Access
Rebika Rai, Krishna Gopal Dhal, Arunita Das

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(5), P. 3133 - 3172

Published: Feb. 24, 2023

Language: Английский

Citations

29
Reptile Search Algorithm: Theory, Variants, Applications, and Performance Evaluation DOI
Buddhadev Sasmal, Abdelazim G. Hussien, Arunita Das

et al.

Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 31(1), P. 521 - 549

Published: Aug. 26, 2023

Language: Английский

Citations

29
A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing DOI

Mohammad Amiriebrahimabadi,

Zhina Rouhi,

N. Mansouri

et al.

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: 31(6), P. 3647 - 3697

Published: March 27, 2024

Language: Английский

Citations

18
A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023 DOI Creative Commons

Rekha Rani,

Sarika Jain, Harish Garg

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(5)

Published: April 24, 2024

Abstract The field of nature inspired algorithm (NIA) is a vital area research that consistently aids in solving optimization problems. One the metaheuristic classifications has drawn attention from researchers recent decades NIA. It makes significant contribution by addressing numerous large-scale problems and achieving best results. This aims to identify optimal NIA for single-objective discovered between 2019 2023 presented this study with brief description. About 83 distinct NIAs have been studied order address issues. In accomplish goal, we taken into consideration eight real-world problems: 3-bar truss design problem, rolling element bearing, pressure vessel, cantilever beam, I welded spring. Based on comparative bibliographic analysis, determined two algorithms—the flow direction algorithm, prairie dog optimization—give us results solutions all engineering listed. Lastly, some perspectives limitations, difficulties, future course are provided. addition providing guidelines, will assist novice emerging researcher more comprehensive perspective advanced

Language: Английский

Citations

10
Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation DOI
Buddhadev Sasmal, Arunita Das, Krishna Gopal Dhal

et al.

Computer Science Review, Journal Year: 2025, Volume and Issue: 56, P. 100727 - 100727

Published: Jan. 18, 2025

Language: Английский

Citations

2