A Novel Artificial Electric Field Algorithm for Solving Global Optimization and Real-World Engineering Problems
The Artificial Electric Field Algorithm (AEFA) stands out as a physics-inspired metaheuristic, drawing inspiration from Coulomb’s law and electrostatic force; however, while AEFA has demonstrated efficacy, it can face challenges such as convergence issues and suboptimal solutions, especially in high...
Main Authors: | Abdelazim G. Hussien, Adrian Pop, Sumit Kumar, Fatma A. Hashim, Gang Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-03-01
|
Series: | Biomimetics |
Subjects: | |
Online Access: | https://www.mdpi.com/2313-7673/9/3/186 |
Similar Items
-
Elitist-opposition-based artificial electric field algorithm for higher-order neural network optimization and financial time series forecasting
by: Sarat Chandra Nayak, et al.
Published: (2024-01-01) -
An Elitist Artificial Electric Field Algorithm Based Random Vector Functional Link Network for Cryptocurrency Prices Forecasting
by: Sarat Chandra Nayak, et al.
Published: (2023-01-01) -
Gaussian Mutation Specular Reflection Learning with Local Escaping Operator Based Artificial Electric Field Algorithm and Its Engineering Application
by: Oluwatayomi Rereloluwa Adegboye, et al.
Published: (2023-03-01) -
EJS: Multi-Strategy Enhanced Jellyfish Search Algorithm for Engineering Applications
by: Gang Hu, et al.
Published: (2023-02-01) -
Frequency and voltage stabilisation in combined load frequency control and automatic voltage regulation of multiarea system with hybrid generation utilities by AC/DC links
by: CH. Naga Sai Kalyan, et al.
Published: (2020-11-01)