A Comprehensive Survey on Artificial Electric Field Algorithm: Theories and Applications

D Chauhan, A Yadav - Archives of Computational Methods in Engineering, 2024 - Springer
The artificial electric field algorithm (AEFA) is a population-based metaheuristic optimization
algorithm. It is inspired by the electrostatic field theory and fundamental laws of physics. The …

Frequency and voltage stability of multi microgrid system using 2-DOF TIDF FUZZY controller

GR Biswal, B Mohanty - Smart Science, 2024 - Taylor & Francis
Two parameters, voltage and frequency, are required for smooth delivery of quality power to
consumer. Therefore, in this paper enhancement of frequency and voltage stability of multi …

[PDF][PDF] Forecasting quality of service (QoS) parameters of IoT based web services with an artificial electric field algorithm trained artificial neural network

S Lenka, SK Pradhan, SP Nayak, SC Nayak - Karbala International Journal …, 2023 - iasj.net
Abstract Development of an accurate forecasting model for effective prediction of Quality of
Service (QoS) parameters of inter-net of things (IoT) based web services is highly desired …

Discriminative Extreme Learning Machine with Cross‐Domain Mean Approximation for Unsupervised Domain Adaptation

S Zang, X Li, J Ma, Y Yan, J Lv, Y Wei - Complexity, 2022 - Wiley Online Library
Extreme Learning Machine (ELM) is widely used in various fields because of its fast training
and high accuracy. However, it does not primarily work well for Domain Adaptation (DA) in …

A Neuro-Fuzzy Predictor Trained by an Elitism Artificial Electric Field Algorithm for Estimation of Compressive Strength of Concrete Structures

CSK Dash, SC Nayak, AK Behera, S Dehuri - Informatica, 2023 - informatica.si
Abstract Machine learning based forecasting are found better to manual and statistical
methods in estimating compressive strength of concrete structures. However, there is need …