Results 11 to 20 of about 2,864,900 (159)

Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection. [PDF]

SN Comput Sci, 2021
There are various fields are affected by the growth of data dimensionality. The major problems which are resulted from high dimensionality of data including high memory requirements, high computational cost, and low machine learning classifier performance.
Chantar H, Tubishat M, Essgaer M, Mirjalili S.   +3 more
europepmc   +7 more sources

Hybrid Binary Dragonfly Optimization Algorithm with Statistical Dependence for Feature Selection [PDF]

International Journal of Mathematical, Engineering and Management Sciences, 2020
The aim of the feature selection technique is to obtain the most important information from a specific set of datasets. Further elaborations in the feature selection technique will positively affect the classification process, which can be applied in ...
Omar S. Qasim, Mohammed Sabah Mahmoud, Fatima Mahmood Hasan   +2 more
doaj   +2 more sources

BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection

IEEE Access, 2023
The Arithmetic Optimization Algorithm (AOA) is a recently proposed metaheuristic algorithm that has been shown to perform well in several benchmark tests.
Nima Khodadadi, Ehsan Khodadadi, Qasem Al-Tashi, El-Sayed M. El-Kenawy, Laith Abualigah, Said Jadid Abdulkadir, Alawi Alqushaibi, Seyedali Mirjalili   +7 more
doaj   +2 more sources

Optimasi Ukuran Penampang pada Struktur Rangka Batang Ruang dengan Binary Dragonfly Algorithm [PDF]

Jurnal Manajemen Teknologi & Teknik Sipil, 2023
The cross-section area of a structural element plays a vital role in designing and planning processes. Each structural element must meet design criteria while maintaining an effective cross-sectional area, ensuring the structure is economical and lightweight. This Economic aspect refers to the structure's cost and weight, minimizing any lateral effects
Frans, Richard, Thioritz, Stevy
openaire   +3 more sources

Binary Spring Search Algorithm for Solving Various Optimization Problems [PDF]

Applied Sciences, 2021
One of the most powerful tools for solving optimization problems is optimization algorithms (inspired by nature) based on populations. These algorithms provide a solution to a problem by randomly searching in the search space.
Mohammad Dehghani, Zeinab Montazeri, Ali Dehghani, Om P. Malik, Ruben Morales-Menendez, Gaurav Dhiman, Nima Nouri, Ali Ehsanifar, Josep M. Guerrero, Ricardo A. Ramirez-Mendoza   +9 more
doaj   +2 more sources

Solving Graph Coloring Problem Using an Enhanced Binary Dragonfly Algorithm

International Journal of Swarm Intelligence Research, 2019
The graph coloring problem (GCP) is one of the most interesting classical combinatorial optimization problems in graph theory. It is known to be an NP-Hard problem, so many heuristic algorithms have been employed to solve this problem. In this article, the authors propose a new enhanced binary dragonfly algorithm to solve the graph coloring problem ...
Karim Baiche, Yassine Meraihi, Manolo Dulva Hina, Amar Ramdane-Cherif, Mohammed Mahseur   +4 more
openaire   +5 more sources

Face recognition system using local binary pattern with binary dragonfly algorithm (BDA) to feature selection [PDF]

, 2022
In this thesis, local binary pattern will use to feature extraction and the Binary Dragonfly Algorithm (BDA) will use to find the optimum features. This is new methodology for face recognition system. A proposed face acknowledgment framework was created to be utilized for various purposes.
Al-Aloosi, Ahmeed Raad Majeed
core   +3 more sources

Bayesian Network Structure Learning Algorithm Combining Improved Dragonfly Optimization

IEEE Access, 2023
Bayesian network structure learning is one of the current research hotspots in fields such as statistics and machine learning. Although it has great potential and application prospects, when there are too many variables, this type of algorithm will not ...
Dongmei Ji, Zheng Sun
doaj   +2 more sources

Comparison of k-Nearest Neighbor and Support Vector Machine using Binary Dragonfly Algorithm Optimization

Sistemasi: Jurnal Sistem Informasi
BDA is an adaptation of Dragonfly Algorithm (DA) that optimizes computation for single-objective, discrete, and multi-objective problems. Combining BDA optimization algorithm with KNN and SVM classification algorithms aims to improve the performance of ...
Andi Nugroho, Muhammad Imam Khomeini, Rifan Heraldi   +2 more
doaj   +2 more sources

Binary Dragonfly Algorithm with Semicircular Mobility for Multi-Objective Optimization of Underwater Wireless Sensor Networks

Telecom
Underwater wireless sensor networks (UWSNs) support critical applications such as environmental monitoring, offshore exploration, and surveillance; however, their performance is constrained by high propagation delay, limited energy resources, and node ...
Eduardo Vázquez, Aldo Mendez, Leopoldo A. Garza, Alberto Reyna, Gerardo Romero   +4 more
doaj   +2 more sources