LCAHA: A hybrid artificial hummingbird algorithm with multi-strategy for engineering applications DOI
Gang Hu, Jingyu Zhong,

Congyao Zhao

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2023, Volume and Issue: 415, P. 116238 - 116238

Published: July 23, 2023

Language: Английский

Machine learning research towards combating COVID-19: Virus detection, spread prevention, and medical assistance DOI Creative Commons
Osama Shahid, Mohammad Nasajpour, Seyedamin Pouriyeh

et al.

Journal of Biomedical Informatics, Journal Year: 2021, Volume and Issue: 117, P. 103751 - 103751

Published: March 24, 2021

Language: Английский

Citations

68
A wind power forecasting method based on optimized decomposition prediction and error correction DOI
Jun Li, Shuqing Zhang, Zhenning Yang

et al.

Electric Power Systems Research, Journal Year: 2022, Volume and Issue: 208, P. 107886 - 107886

Published: Feb. 25, 2022

Language: Английский

Citations

51
Review of economic dispatch in multi-area power system: State-of-the-art and future prospective DOI
Abdullahi Bala Kunya,

Adamu Saidu Abubakar,

Samuel Sunday Yusuf

et al.

Electric Power Systems Research, Journal Year: 2022, Volume and Issue: 217, P. 109089 - 109089

Published: Dec. 31, 2022

Language: Английский

Citations

51
Groundwater level modeling using Augmented Artificial Ecosystem Optimization DOI

Nguyen Van Thieu,

Surajit Deb Barma, To Van Lam

et al.

Journal of Hydrology, Journal Year: 2022, Volume and Issue: 617, P. 129034 - 129034

Published: Dec. 28, 2022

Language: Английский

Citations

50
A Comprehensive Review of Bio-Inspired Optimization Algorithms Including Applications in Microelectronics and Nanophotonics DOI Creative Commons
Zoran Jakšić, Swagata Devi, Olga Jakšić

et al.

Biomimetics, Journal Year: 2023, Volume and Issue: 8(3), P. 278 - 278

Published: June 28, 2023

The application of artificial intelligence in everyday life is becoming all-pervasive and unavoidable. Within that vast field, a special place belongs to biomimetic/bio-inspired algorithms for multiparameter optimization, which find their use large number areas. Novel methods advances are being published at an accelerated pace. Because that, spite the fact there lot surveys reviews they quickly become dated. Thus, it importance keep pace with current developments. In this review, we first consider possible classification bio-inspired optimization because papers dedicated area relatively scarce often contradictory. We proceed by describing some detail more prominent approaches, as well those most recently published. Finally, biomimetic two related wide fields, namely microelectronics (including circuit design optimization) nanophotonics inverse structures such photonic crystals, nanoplasmonic configurations metamaterials). attempted broad survey self-contained so can be not only scholars but also all interested latest developments attractive area.

Language: Английский

Citations

39
Nature-Inspired Algorithms from Oceans to Space: A Comprehensive Review of Heuristic and Meta-Heuristic Optimization Algorithms and Their Potential Applications in Drones DOI Creative Commons
Shahin Darvishpoor, Amirsalar Darvishpour,

Mario Escarcega

et al.

Drones, Journal Year: 2023, Volume and Issue: 7(7), P. 427 - 427

Published: June 27, 2023

This paper reviews a majority of the nature-inspired algorithms, including heuristic and meta-heuristic bio-inspired non-bio-inspired focusing on their source inspiration studying potential applications in drones. About 350 algorithms have been studied, comprehensive classification is introduced based sources inspiration, bio-based, ecosystem-based, social-based, physics-based, chemistry-based, mathematics-based, music-based, sport-based, hybrid algorithms. The performance 21 selected considering calculation time, max iterations, error, cost function compared by solving 10 different benchmark functions from types. A review aerospace engineering provided, which illustrates general view optimization problems drones that are currently used to solve them.

Language: Английский

Citations

32
A Parallel Compact Gannet Optimization Algorithm for Solving Engineering Optimization Problems DOI Creative Commons
Jeng‐Shyang Pan, bing sun, Shu‐Chuan Chu

et al.

Mathematics, Journal Year: 2023, Volume and Issue: 11(2), P. 439 - 439

Published: Jan. 13, 2023

The Gannet Optimization Algorithm (GOA) has good performance, but there is still room for improvement in memory consumption and convergence. In this paper, an improved proposed to solve five engineering optimization problems. compact strategy enables the GOA save a large amount of memory, parallel communication allows algorithm avoid falling into local optimal solutions. We improve through combination strategy, we name Parallel Compact (PCGOA). performance study PCGOA on CEC2013 benchmark demonstrates advantages our new method various aspects. Finally, results solving problems show that can find global solution more accurately.

Language: Английский

Citations

26
Heavy metals prediction in coastal marine sediments using hybridized machine learning models with metaheuristic optimization algorithm DOI
Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Wan Hanna Melini Wan Mohtar, Raad Z. Homod

et al.

Chemosphere, Journal Year: 2024, Volume and Issue: 352, P. 141329 - 141329

Published: Jan. 29, 2024

Language: Английский

Citations

12
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

1
m-MBOA: a novel butterfly optimization algorithm enhanced with mutualism scheme DOI

Sushmita Sharma,

Apu Kumar Saha

Soft Computing, Journal Year: 2019, Volume and Issue: 24(7), P. 4809 - 4827

Published: July 20, 2019

Language: Английский

Citations

69