Results 111 to 120 of about 4,354 (214)

IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) UNTUK PEMODELAN INVERSI 1D DATA MAGNETOTELLURIK

Jurnal Geosaintek
Magnetotellurik (MT) merupakan metode geofisika pasif yang memanfaatkan variasi medan elektromagnetik alami untuk memetakan struktur resistivitas bawah permukaan bumi. Metode ini mampu menjangkau kedalaman hingga puluhan kilometer dan sensitif terhadap kontras resistivitas, sehingga banyak digunakan dalam eksplorasi sumber daya alam seperti geotermal ...
Wahyu Eko Junian, Rifa Prima Adilla, Selvi Misnia Irawati   +2 more
openaire   +1 more source

Analisis Task Scheduling Menggunakan Grey Wolf Optimizer Pada Cloud Environment

, 2023
Penelitian ini mengusulkan pendekatan baru untuk penjadwalan tugas di lingkungan cloud menggunakan algoritma Grey Wolf Optimizer (GWO) dan alat simulasi CloudSim.
Al Abiyyuna, Ghimnastiar
core  

HDE-CGWO-Based Optimal Load Frequency Control for Nonlinear Power Systems

Energies
In modern power-system load frequency control (LFC), proportional–integral–derivative (PID) controllers are widely used because of their simple structure and ease of implementation.
Yaya Li, Qing Hu, Xingyue Liu, Yu Jiang, Xuanqi Liao, Kaibo Shi   +5 more
doaj   +1 more source

GWO-SVM: AN APPROACH TO IMPROVING SVM PERFORMANCE USING GREY WOLF OPTIMIZER IN INTELLECTUAL DISABILITY CLASSIFICATION

 Intellectual disability (ID) is a neurodevelopmental disorder that requires early and accurate diagnosis. This study aims to improve the efficiency of ID diagnosis using a machine learning approach.
Junaidi, Achmad, Sihananto, Andreas Nugroho, Afifudin, Muhammad, Fithriyah, Izzatul   +3 more
core   +2 more sources

Path Planning of Obstacle-Crossing Robot Based on Golden Sine Grey Wolf Optimizer

Applied Sciences
This paper proposes a golden sine grey wolf optimizer (GSGWO) that can be adapted to the obstacle-crossing function to solve the path planning problem of obstacle-crossable robot.
Di Zhao, Guangrui Cai, Yuxing Wang, Xixing Li   +3 more
doaj   +1 more source

GWO-RF: A Grey Wolf Optimized Random Forest Model for Predicting Employee Turnover

Informatica
This study proposes an employee turnover prediction model (GWO-RF) that combines Grey Wolf Optimization (GWO) algorithm with Improved Random Forest (LPRF). The model optimizes node splitting strategy by combining C4.5 information gain rate and CART Gini coefficient (constraint condition α+β=1) through linear programming.
openaire   +1 more source

GWO-HHO Hybrid: Strengthening Grey Wolf Optimizer with Harris Hawks Strategy for Numerical Optimization

Optimization algorithms play a crucial role in solving complex numerical problems across diverse domains. This paper presents a hybrid Grey Wolf Optimizer (GWO) and Harris Hawks Optimization (HHO) algorithm, designed to improve solution accuracy and convergence efficiency.
openaire   +2 more sources

Implementation of Grey Wolf Optimizer (GWO) Algorithm for Predicting Multidrug Resistance Patterns in Bacteria

Journal of Computer Science and Research (JoCoSiR)
The emergence of multidrug-resistant (MDR) bacterial pathogens poses a critical threat to global health, demanding intelligent and adaptive predictive systems. This study proposes the application of the Grey Wolf Optimizer (GWO) algorithm as an innovative computational approach for predicting and analyzing multidrug resistance patterns in clinical ...
openaire   +1 more source

Parallel algorithm to optimize continuous highdimensional functions on the basis of hybridization of the grey wolf optimizer (GWO)

Scientific Conference “Scientific Services & Internet”, 2020
Dmitry Vladimirovich Ezhov, Oleg Vladimirovich Kovalenko   +1 more
openaire   +1 more source

QLFDGWO: Q-Learning-Guided Weighted Fitness-Distance Grey Wolf Optimizer for UAV Path Planning. [PDF]

Biomimetics (Basel)
Huang C, Yang B, Huo Y.
europepmc   +1 more source