Results 21 to 30 of about 9,216 (200)

OPF of Modern Power Systems Comprising Renewable Energy Sources Using Improved CHGS Optimization Algorithm

Energies, 2021
This article introduces an application of the recently developed hunger games search (HGS) optimization algorithm. The HGS is combined with chaotic maps to propose a new Chaotic Hunger Games search (CHGS).
Mohamed A. M. Shaheen, Hany M. Hasanien, Rania A. Turky, Martin Ćalasan, Ahmed F. Zobaa, Shady H. E. Abdel Aleem   +5 more
doaj   +1 more source

A novel improved version of hunger games search algorithm for function optimization and efficient controller design of buck converter system

e-Prime: Advances in Electrical Engineering, Electronics and Energy, 2022
There is a continuous effort to develop efficient control mechanisms for power converters as it is a challenging task due to nonlinear nature of such systems. As part of the ongoing effort in the related field, a novel control method is presented in this
Davut Izci, Serdar Ekinci
doaj   +1 more source

A hunger game search algorithm for economic load dispatch

IAES International Journal of Artificial Intelligence (IJ-AI), 2022
This work proposes a new approach to solve the economic load dispatch (ELD) issue in power systems by metaheuristic algorithms inspired by natural life. The problem to be resolved is to optimize the power system network with various constraints by considering the cutting in the cost of the resulting in the transmission of the electric system.
Widi Aribowo, Supari Muslim, Bambang Suprianto   +2 more
openaire   +1 more source

Optimal Parameter Identification of Perovskite Solar Cells Using Modified Bald Eagle Search Optimization Algorithm

Energies, 2023
In this paper, a modified bald eagle search optimization algorithm was applied for the first time to determine the parameters of the triple diode model (TDM) of perovskite solar cells (PSCs).
Abdul Ghani Olabi, Hegazy Rezk, Mohammad Ali Abdelkareem, Tabbi Awotwe, Hussein M. Maghrabie, Fatahallah Freig Selim, Shek Mohammod Atiqure Rahman, Sheikh Khaleduzzaman Shah, Alaa A. Zaky   +8 more
doaj   +1 more source

Automatic Superpixel-Based Clustering for Color Image Segmentation Using q-Generalized Pareto Distribution under Linear Normalization and Hunger Games Search

Mathematics, 2021
Superixel is one of the most efficient of the image segmentation approaches that are widely used for different applications. In this paper, we developed an image segmentation based on superpixel and an automatic clustering using q-Generalized Pareto ...
Mohamed Abd Elaziz, Esraa Osama Abo Zaid, Mohammed A. A. Al-qaness, Rehab Ali Ibrahim   +3 more
doaj   +1 more source

The Daily Texan [PDF]

, 2016
Texas Student ...
University of Texas at Austin
core   +1 more source

Classifying colour differences in dyed fabrics using an improved hunger games search optimised random vector functional link

Journal of Engineered Fibers and Fabrics, 2022
This study proposes an algorithm for classifying colour differences in dyed fabrics using random vector functional link (RVFL) optimised using an improved hunger games search (HGS) algorithm to replace the inefficient traditional classification methods ...
Xiaochun Zhang, Zhiyu Zhou
doaj   +1 more source

A Robust Fractional-Order PID Controller Based Load Frequency Control Using Modified Hunger Games Search Optimizer

Energies, 2022
In this article, a recent modified meta-heuristic optimizer named the modified hunger games search optimizer (MHGS) is developed to determine the optimal parameters of a fractional-order proportional integral derivative (FOPID) based load frequency ...
Ahmed Fathy, Dalia Yousri, Hegazy Rezk, Sudhakar Babu Thanikanti, Hany M. Hasanien   +4 more
doaj   +1 more source

Mining named entities from search engine query logs [PDF]

, 2014
We present a seed expansion based approach to classify named entities in web search queries. Previous approaches to this classification problem relied on contextual clues in the form of keywords surrounding a named entity in the query. Here we propose an
Alasiry, Areej, Levene, Mark, Poulovassilis, Alexandra   +2 more
core   +1 more source

Optimal Cluster Head Selection in WSN with Convolutional Neural Network-Based Energy Level Prediction

Sensors, 2022
Currently, analysts in a variety of nations have developed various WSN clustering protocols. The major characteristic is the Low Energy Adaptive Clustering Hierarchy (LEACH), which attained the objective of energy balance by sporadically varying the ...
Sasikumar Gurumoorthy, Parimella Subhash, Rocio Pérez de Prado, Marcin Wozniak   +3 more
doaj   +1 more source