Modified Archimedes optimization algorithm for global optimization problems: A comparative study

M Nurmuhammed, O Akdağ, T Karadağ - Neural Computing and …, 2024 - Springer
Abstract Archimedes Optimization Algorithm (AOA) is a recent optimization algorithm
inspired by Archimedes' Principle. In this study, a Modified Archimedes Optimization …

Advanced Imaging Technologies With Ensemble Learning for Consumer Products Identification and Classification

R Alabdan, HK Alkahtani, KM Othman… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Consumer product recognition involves utilizing computer vision (CV) and machine learning
(ML) systems for identifying and recognizing numerous consumer goods in video or image …

Multi-Period Optimization of Energy Demand Control for Electric Vehicles in Unbalanced Electrical Power Systems Considering the Center Load Distance of Charging …

N Chitgreeyan, P Pilalum, S Marsong… - Engineering …, 2024 - ph02.tci-thaijo.org
The rise of plug-in electric vehicles (EVs) impacts the energy demand of power systems.
This study employed a multi-period power flow analysis on the IEEE 123 node test system …

Bi-Level Multi-Objective Optimal and Scenario-Based Planning Framework for Accommodating Ev Charging Stations and Distributed Energy Resources in the …

MZ Iftikhar - Available at SSRN 4783283 - papers.ssrn.com
The electrification of the transportation system, such as electric vehicles (EVs), is crucial in
minimizing environmental pollution. To properly utilize EVs, users need a charging …

Electrical Vehicles Impact on Unbalanced Distribution Networks Considering Different Loads and Energy Prices

SMA Mousavi Sadat, S Soleimani - Soudabeh, Electrical Vehicles … - papers.ssrn.com
The expansion of distributed generation and erratic loads creates many challenges for
electricity distribution networks (DN), like grid congestion and load unbalance …