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

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

и другие.

Computers in Biology and Medicine, Год журнала: 2022, Номер 149, С. 106075 - 106075

Опубликована: Сен. 6, 2022

Язык: Английский

Процитировано

119
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

и другие.

IEEE Access, Год журнала: 2023, Номер 11, С. 28992 - 29008

Опубликована: Янв. 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.

Язык: Английский

Процитировано

65
A survey on recent trends in deep learning for nucleus segmentation from histopathology images DOI Open Access

Anusua Basu,

Pradip Senapati,

Mainak Deb

и другие.

Evolving Systems, Год журнала: 2023, Номер 15(1), С. 203 - 248

Опубликована: Март 6, 2023

Язык: Английский

Процитировано

40
A Comprehensive Survey on Aquila Optimizer DOI Open Access
Buddhadev Sasmal, Abdelazim G. Hussien, Arunita Das

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(7), С. 4449 - 4476

Опубликована: Июнь 7, 2023

Язык: Английский

Процитировано

35
A Comprehensive Survey on Arithmetic Optimization Algorithm DOI Open Access
Krishna Gopal Dhal, Buddhadev Sasmal, Arunita Das

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(5), С. 3379 - 3404

Опубликована: Март 15, 2023

Язык: Английский

Процитировано

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

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 30(5), С. 3133 - 3172

Опубликована: Фев. 24, 2023

Язык: Английский

Процитировано

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

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2023, Номер 31(1), С. 521 - 549

Опубликована: Авг. 26, 2023

Язык: Английский

Процитировано

28
A Comprehensive Survey of Multi-Level Thresholding Segmentation Methods for Image Processing DOI

Mohammad Amiriebrahimabadi,

Zhina Rouhi,

N. Mansouri

и другие.

Archives of Computational Methods in Engineering, Год журнала: 2024, Номер 31(6), С. 3647 - 3697

Опубликована: Март 27, 2024

Язык: Английский

Процитировано

14
A review of nature-inspired algorithms on single-objective optimization problems from 2019 to 2023 DOI Creative Commons

Rekha Rani,

Sarika Jain, Harish Garg

и другие.

Artificial Intelligence Review, Год журнала: 2024, Номер 57(5)

Опубликована: Апрель 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

Язык: Английский

Процитировано

9
Artificial hummingbird algorithm: Theory, variants, analysis, applications, and performance evaluation DOI
Buddhadev Sasmal, Arunita Das, Krishna Gopal Dhal

и другие.

Computer Science Review, Год журнала: 2025, Номер 56, С. 100727 - 100727

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

1