Results 51 to 60 of about 289 (127)

Effective sizing and optimization of hybrid renewable energy sources for micro distributed generation system

IET Renewable Power Generation, Volume 19, Issue 1, January/December 2025.
This figure signifies the methodological flow of the presented system. It is identified that the proposed system comprises procedures such as single‐ended primary‐inductor converter‐based alternating current–direct current converter, ant lion colony optimization with particle swarm optimization algorithm, and artificial neural network‐based direct ...
Shanmuganatha Vadivel Kasi, Narottam Das, Sanath Alahakoon, Nur Hassan   +3 more
wiley   +1 more source

Reliability based multi-objective optimized routing protocol for VANETs using pelican optimization algorithm

Discover Applied Sciences
A developing methodology that may be used in intelligent transportation frameworks is Vehicular Ad hoc Networks (VANETs). For VANET systems to be dependable, routing protocols are necessary.
R. Muthaiyan, S. Senthilkumar, C. Vijesh Joe, M. Kavitha   +3 more
doaj   +1 more source

Vessel Traffic Flow Prediction in Port Waterways Based on POA-CNN-BiGRU Model

Journal of Marine Science and Engineering
Vessel traffic flow forecasting in port waterways is critical to improving safety and efficiency of port navigation. Aiming at the stage characteristics of vessel traffic in port waterways in time sequence, which leads to complexity of data in the ...
Yumiao Chang, Jianwen Ma, Long Sun, Zeqiu Ma, Yue Zhou   +4 more
doaj   +1 more source

Pelican Optimization Algorithm Combining Unscented sigma Point Mutation and Cross Reversion [PDF]

Jisuanji kexue yu tansuo
Aiming at the problems of slow searching speed, low accuracy and easy to fall into local optimization in the optimization process of pelican optimization algorithm (POA), a pelican optimization algorithm combining unscented sigma point mutation and cross
ZUO Fengqin, ZHANG Damin, HE Qing, BAN Yunfei, SHEN Qianwen
doaj   +1 more source

Bonobo Optimizer Inspired PI‐(1+DD) Controller for Robust Load Frequency Management in Renewable Wind Energy Systems

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
With the growing presence of renewable energy sources (RESs), the necessity for adaptive and robust control strategies becomes more pronounced. This article proposes a self‐adaptive bonobo optimizer (SABO)‐based proportional integral one plus double derivative (PI‐(1+DD)) controller that offers a novel solution to the load frequency control (LFC).
Sulaiman Z. Almutairi, Ghareeb Moustafa, Sultan Hassan Hakmi, Abdullah M. Shaheen, Akshay Kumar Saha   +4 more
wiley   +1 more source

Efficient approach for optimal parameter estimation of PV using Pelican Optimization Algorithm

Cogent Engineering
In order to optimize the performance of a Solar Photovoltaic (PV) system, it is necessary to develop an appropriate PV cell model and accurately determine the unknown parameters associated with the model.
Asmita Ajay Rathod, Balaji Subramanian
doaj   +1 more source

Advanced Parameter Identification in Electric Vehicles Lithium‐Ion Batteries With Marine Predators Algorithm‐Based Optimization

International Journal of Energy Research, Volume 2025, Issue 1, 2025.
Accurate parameter identification of lithium‐ion (Li‐ion) battery models is critical for understanding battery behavior and optimizing performance in electric vehicle (EV) applications. Traditional methods often rely on manual adjustments or trial‐and‐error processes, leading to inefficiencies and suboptimal outcomes.
Houssam Eddine Ghadbane, Hegazy Rezk, Hesham Alhumade, Olubayo Babatunde   +3 more
wiley   +1 more source

Botnet detection in the internet-of-things networks using convolutional neural network with pelican optimization algorithm

Automatika
Hackers nowadays employ botnets to undertake cyberattacks towards the Internet of Things (IoT) by illegally exploiting the scattered network’s resources of computing devices.
Swapna Thota, D. Menaka
doaj   +1 more source

An improved pelican optimization algorithm for function optimization and constrained engineering design problems [PDF]

Decision Science Letters
Metaheuristic algorithms are a class of optimization techniques that have revolutionized problem-solving across various domains. These algorithms provide a versatile and powerful approach to finding near-optimal solutions for complex, combinatorial,
Haval Tariq Sadeeq, Araz Abrahim, Thamer Hameed, Najdavan Kako, Reber Mohammed, Dindar Ahmed   +5 more
doaj   +1 more source

A Novel Improved Gradient‐Based Optimizer for Single‐Sensor Global MPPT of PV System

Journal of Mathematics, Volume 2025, Issue 1, 2025.
Gradient‐Based Optimizer (GBO) is a highly mathematics‐based metaheuristic algorithm that has garnered significant attention since its introduction. It offers several inherent advantages, such as low computational complexity, rapid convergence, and easy implementation.
Hegazy Rezk, Usama Hamed Issa, Anas Bouaouda, Fatma A. Hashim, Nian-Sheng Tang   +4 more
wiley   +1 more source