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A multistrategy improved hunger games search algorithm [PDF]

open access: yesScientific Reports
In this paper, we propose a multistrategy improved Hunger Games Search (MHGS) algorithm to address several inherent limitations of the original HGS, including imbalanced exploration and exploitation, insufficient population diversity, and premature ...
Qiu Yihui   +4 more
doaj   +5 more sources

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

open access: yesPLoS 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.
Yanqiu Li, Shizheng Qu, Huan Liu
doaj   +4 more sources

Enhanced hunger games search algorithm that incorporates the marine predator optimization algorithm for optimal extraction of parameters in PEM fuel cells [PDF]

open access: yesScientific Reports
This article introduces a novel optimization approach to improve the parameter estimation of proton exchange membrane fuel cells (PEMFCs), which are critical for diverse applications but are challenging to model due to their nonlinear behavior.
Mohamed Issa   +2 more
doaj   +4 more sources

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

open access: yesMathematics, 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   +7 more
doaj   +2 more sources

Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data. [PDF]

open access: yesNeural Comput Appl, 2023
AbstractFeature selection (FS) is one of the basic data preprocessing steps in data mining and machine learning. It is used to reduce feature size and increase model generalization. In addition to minimizing feature dimensionality, it also enhances classification accuracy and reduces model complexity, which are essential in several applications ...
Houssein EH   +4 more
europepmc   +3 more sources

Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm

open access: yesEarth and Space Science, 2023
Geomagnetic anomaly interpretation through inversion procedures often yields useful results in determining the key details of ore masses. However, the problem is complicated due to the known ambiguous phenomena of the inversion process.
Hanbing Ai   +3 more
doaj   +3 more sources

Parameter Identification of Proton Exchange Membrane Fuel Cell Based on Hunger Games Search Algorithm [PDF]

open access: yesEnergies, 2021
This paper presents a novel minimum seeking algorithm referred to as the Hunger Games Search (HGS) algorithm. The HGS is used to obtain optimal values in the model describing proton exchange membrane fuel cells (PEMFCs).
Samuel Raafat Fahim   +7 more
doaj   +4 more sources

A Multi-Stage Adaptive Sequential Parameter Exploration Hunger Games Search Algorithm for Solving Complex Optimization Problems

open access: yesIEEE Access, 2023
Hunger Games Search (HGS) is a newly developed metaheuristic algorithm that models the hunger-driven activities and behaviors of animals. It incorporates the concept of hunger to devise an adaptive weight that mimics the impact of hunger on each search ...
Bihao Zhan, Wei Gu
doaj   +2 more sources

A Multi-Mechanism Particle Swarm Optimization Algorithm Combining Hunger Games Search and Simulated Annealing

open access: yesIEEE Access, 2022
Particle Swarm Optimization (PSO) algorithm is a meta-heuristic algorithm inspired by the foraging behavior of birds, which has received a lot of attention from many scholars because of its simple principle and fast convergence rate.
Ting Wang   +4 more
doaj   +2 more sources

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

open access: yesScientific Reports
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.
Mohammed Hussain   +3 more
doaj   +2 more sources

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