Results 1 to 10 of about 118,988 (271)

Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm [PDF]

Mathematics, 2022
This paper presents an alternative event detection model based on the integration between the DistilBERT and a new meta-heuristic technique named the Hunger Games Search (HGS). The DistilBERT aims to extract features from the text dataset, while a binary
Hadeer Adel, Abdelghani Dahou, Alhassan Mabrouk, Mohamed Abd Elaziz, Mohammed Kayed, Ibrahim Mahmoud El-Henawy, Samah Alshathri, Abdelmgeid Amin Ali   +7 more
doaj   +2 more sources

A multistrategy improved hunger games search algorithm. [PDF]

Sci Rep
Abstract This paper proposes a Multi-strategy Improved Hunger Games Search (MHGS) algorithm to address the inherent limitations of the original HGS algorithm, including imbalanced exploration-exploitation capabilities, insufficient population diversity, and premature convergence.
Yihui Q, Xinqiang Z, Ruoyu L, Dongyi L, Feihan X.   +4 more
europepmc   +4 more sources

Behavior modeling for a new flexure-based mechanism by Hunger Game Search and physics-guided artificial neural network [PDF]

Scientific Reports
Compliant mechanism has some advantages and has been widely applied in many accurate positioning systems. However, modeling the compliant mechanism behavior has suffered from many challenges, such as unstable results, and the limitation of training data ...
Hieu Giang Le, Thanh-Phong Dao, Minh Phung Dang, Thao Nguyen-Trang   +3 more
doaj   +2 more sources

Improve the Hunger Games search algorithm to optimize the GoogleNet model. [PDF]

PLoS One
The setting of parameter values will directly affect the performance of the neural network, and the manual parameter tuning speed is slow, and it is difficult to find the optimal combination of parameters. Based on this, this paper applies the improved Hunger Games search algorithm to find the optimal value of neural network parameters adaptively, and ...
Li Y, Qu S, Liu H.
europepmc   +4 more sources

Optimizing VGG16 deep learning model with enhanced hunger games search for logo classification. [PDF]

Sci Rep
Accurate classification of logos is a challenging task in image recognition due to variations in logo size, orientation, and background complexity. Deep learning models, such as VGG16, have demonstrated promising results in handling such tasks. However, their performance is highly dependent on optimal hyperparameter settings, whose fine-tuning is both ...
Hussain M, Thaher T, Almourad MB, Mafarja M.   +3 more
europepmc   +4 more sources

An Enhanced Hunger Games Search Optimization with Application to Constrained Engineering Optimization Problems. [PDF]

Biomimetics (Basel), 2023
The Hunger Games Search (HGS) is an innovative optimizer that operates without relying on gradients and utilizes a population-based approach. It draws inspiration from the collaborative foraging activities observed in social animals in their natural habitats.
Lin Y, Heidari AA, Wang S, Chen H, Zhang Y.   +4 more
europepmc   +4 more sources

Estimation of Electrical Parameters of the Induction Machine Steady State Model Using Nameplate Data and Hunger Game Search Algorithm [PDF]

هوش محاسباتی در مهندسی برق, 2023
In this paper, the Hunger Games Search (HGS) optimization algorithm is used to estimate the electrical parameters of the induction machine steady state model. Induction machine nameplate data is used as input to the proposed algorithm. The performance of
Ahmad Shirzadi, Arash Dehestani Kolagar, Mohammad Reza Alizadeh Pahlavani   +2 more
doaj   +1 more source

Optimal Charging/Discharging Decision of Energy Storage Community in Grid-Connected Microgrid Using Multi-Objective Hunger Game Search Optimizer

IEEE Access, 2021
A hybrid microgrid system (HMG) is a new avenue that offers an optimal, reliable, and cost-effective solution for utilizing localized renewable energy resources over individual DC or AC microgrids.
Yomna O. Shaker, Dalia Yousri, Ahmed Osama, Ahmed Al-Gindy, Elsayed Tag-Eldin, Dalia Allam   +5 more
doaj   +1 more source

Multi-Strategy Fusion Improved Adaptive Hunger Games Search

IEEE Access, 2023
Aiming at the drawbacks of Hunger Games Search (HGS) algorithm, such as slow convergence speed and the tendency to fall into local optimum, a Multi-strategy fusion Improved Adaptive Hunger Games Search (MIA-HGS) algorithm is proposed. Firstly, a good point set is employed to generate a more diverse initial population.
Daming Zhang, Yanqing Zhao, Junjie Ding, Zijian Wang, Jiaqing Xu   +4 more
openaire   +2 more sources

Prediction of Complex Acute Appendicitis Based on HGS-MSVM

IEEE Access, 2023
In this paper, we propose an effective and intelligent prediction model that can well distinguish complex acute appendicitis from uncomplicated acute appendicitis.
Jian Li, Huan Liu, Shengbo Sun, Yanqiu Li, Weihua Tong   +4 more
doaj   +1 more source