Results 11 to 20 of about 605 (174)
This paper explains the construction of a novel augmented hunger games search algorithm using a logarithmic spiral opposition-based learning technique.
Davut Izci +3 more
doaj +6 more sources
Inversion of Geomagnetic Anomalies Caused by Ore Masses Using Hunger Games Search Algorithm
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 +4 more sources
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
Improving precision agriculture using integrated bio-inspired optimization models for crop recommendation in Rajasthan, India [PDF]
This study introduces two novel hybrid nature-inspired optimization algorithms designed to enhance artificial neural network (ANN) performance in crop recommendation, leveraging remote sensing data from Landsat 8 and 9 platforms.
Lavika Goel +3 more
doaj +2 more sources
Deep learning-based joint analysis of diabetic retinopathy and glaucoma in retinal fundus images [PDF]
In current times, Diabetic retinopathy (DR) might be more difficult to diagnose when coexisting with glaucoma, since the two diseases share retinal abnormalities. Worldwide, DR is one of the most common causes of blindness.
T. Geetha, C. Hema
doaj +2 more sources
Estimation of Electrical Parameters of the Induction Machine Steady State Model Using Nameplate Data and Hunger Game Search Algorithm [PDF]
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 +2 more
doaj +2 more sources
Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data. [PDF]
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
Biomass is a renewable energy source because it is contained in organic material such as plants. This paper introduces a modified hunger games search for solving global optimization and biomass distributed generator problems.
Ahmed M. Nassef +3 more
doaj +1 more source
A hunger game search algorithm for economic load dispatch
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, Bambang Suprianto
openaire +2 more sources
Summary: The domains of contemporary medicine and biology have generated substantial high-dimensional genetic data. Identifying representative genes and decreasing the dimensionality of the data can be challenging.
Zhiqing Chen +7 more
doaj +1 more source

