Results 101 to 110 of about 1,072,852 (213)

An enhanced Teaching-Learning-Based Optimization (TLBO) with Grey Wolf Optimizer (GWO) for text feature selection and clustering

CoRR
Text document clustering can play a vital role in organizing and handling the everincreasing number of text documents. Uninformative and redundant features included in large text documents reduce the effectiveness of the clustering algorithm. Feature selection (FS) is a well-known technique for removing these features.
Mahsa Azarshab, Mohammad Fathian, Babak Amiri   +2 more
openaire   +3 more sources

Algoritma Hibrid Particle Swarm Optimization Grey Wolf Optimizer

, 2020
Particle Swarm Optimization (PSO) adalah teknik optimasi yang dikembangkan pada tahun 1995 oleh Russel Eberhart dan James Kennedy. PSO terinspirasi dari perilaku sosiologis kelompok burung yang terbang bersama-sama tanpa terjadinya tabrakan antara ...
Putra, Mochamad Rico Pratama
core  

Solving short term hydrothermal scheduling problem using Grey Wolf Optimizer (GWO) / Muhammad Hamizan Md Nor [PDF]

, 2019
The objective of the hydrothermal scheduling is to minimize the total cost system, while fulfilling the power balance and system constraints. This final year project report proposes a solution to handle the problems of short-term hydrothermal scheduling ...
Md Nor, Muhammad Hamizan
core  

Dual FOPID-neural network controller based on fast grey wolf optimizer: application to two-inputs two-outputs helicopter

Systems Science & Control Engineering
This research introduces a novel dual Fast Grey Wolf Optimizer (FGWO) combined with Radial Basis Function Neural Networks (RBFNN) for a Fractional-Order PID (FOPID) controller applied to a helicopter simulator.
Amar Rezoug, Jamshed Iqbal, Abdelkrim Nemra   +2 more
doaj   +1 more source

Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems

Results in Engineering
The Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita, Pradeep Jangir, Lenka Čepová, Shankar Chakraborty, Sundaram B. Pandya, Arpita   +5 more
doaj   +1 more source

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

 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   +1 more source

AN IMPROVED GREY WOLF OPTIMIZER WITH LVY WALK AS AN OPTIMIZER IN TRAINING MULTI-LAYER PERCEPTRON WITH DECOUPLED NEURAL INTERFACE

, 2019
Grey Wolf Optimizer (GWO) is inspired by how grey wolves (Canis Lupus) searching its prey. The GWO relatively new swarm-based intelli- gence and the only algorithms that are based on the leadership hierarchy.
Abdullah, Rosni, Ahmad Affendi Hashim
core   +1 more source

Improved Grey Wolf Algorithm: A Method for UAV Path Planning

Drones
The Grey Wolf Optimizer (GWO) algorithm is recognized for its simplicity and ease of implementation, and has become a preferred method for solving global optimization problems due to its adaptability and search capabilities.
Xingyu Zhou, Guoqing Shi, Jiandong Zhang
doaj   +1 more source

Parallel Balanced Grey Wolf Optimizer: A Cooperative Parallel Approach for Large-Scale Optimization Problems

Foundations
In recent years, large-scale optimization problems have become increasingly common in various fields, such as machine learning and data analysis, generating increased references to both computational cost and accurate solutions.
Glykeria Kyrou, Konstantinos G. Barkas, Vasileios Charilogis, Ioannis G. Tsoulos   +3 more
doaj   +1 more source

Grey Wolf Optimizer for Solving Economic Dispatch Problems [PDF]

, 2014
This work proposes a new meta-heuristic called Grey Wolf Optimizer (GWO) which inspired by grey wolves (Canis lupus). The GWO algorithm mimics the leadership hierarchy and hunting mechanism of grey wolves in nature.
M. H., Sulaiman, Hong, Mee Song, Wong, Lo Ing, Mohd Rusllim, Mohamed   +3 more
core   +1 more source