Results 121 to 130 of about 3,332,658 (221)

Hibridisasi Fireworks Algorithm (FWA) dan Grey Wolf Optimizer (GWO) [PDF]

, 2019
Fireworks Algorithm (FWA) merupakan algoritma metaheuristik yang meniru ledakan kembang api. FWA memiliki kekurangan pada salah satu operatornya dan strategi seleksi yang perlu menghitung jarak antar individu sehingga membuat waktu komputasi yang semakin
Siregar, Claudia Inggrit
core  

Grey wolf optimizer: a review of recent variants and applications

, 2017
Grey wolf optimizer (GWO) is one of recent metaheuristics swarm intelligence methods. It has been widely tailored for a wide variety of optimization problems due to its impressive characteristics over other swarm intelligence methods: it has very few ...
Seyedali Mirjalili, Aljarah, Ibrahim, Al-Betar, Mohammed Azmi, Faris, Hossam, Hossam Faris, Mohammed Azmi Al-Betar, Ibrahim Aljarah, Mirjalili, Seyedali   +7 more
core   +1 more source

Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification

, 2020
Feature selection or dimensionality reduction can be considered as a multi-objective minimization problem with two objectives: minimizing the number of features and minimizing the error rate simultaneously.
Alhussian, Hitham, Alqushaibi, Alawi, Abdulkadir, Said Jadid, Rais, Helmi Md, Al-Tashi, Qasem, Mirjalili, Seyedali, Ragab, Mohammed G   +6 more
core   +1 more source

Equilibrium optimizer: A novel optimization algorithm

, 2020
This paper presents a novel, optimization algorithm called Equilibrium Optimizer (EO), inspired by control volume mass balance models used to estimate both dynamic and equilibrium states.
Faramarzi, Afshin, Heidarinejad, Mohammad, Stephens, Brent, Mirjalili, Seyedali   +3 more
core   +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

A Hybrid Grey Wolf Optimizer–Zebra Optimization Algorithm for Solving Optimization Problems

Jambura Journal of Mathematics
Metaheuristic algorithms are widely applied to complex optimization problems, yet many suffer from premature convergence or slow search efficiency.
Ayad Ali
doaj   +1 more source

Hybrid Grey Wolf Optimizer Using Elite Opposition-Based Learning Strategy and Simplex Method

, 2017
To overcome the poor population diversity and slow convergence rate of grey wolf optimizer (GWO), this paper introduces the elite opposition-based learning strategy and simplex method into GWO, and proposes a hybrid grey optimizer using elite opposition
Qifang Luo, Yongquan Zhou, Sen Zhang
core   +1 more source

Grey wolf optimizer and whale optimization algorithm: a systematic review

Artificial Intelligence Review
Abstract Metaheuristic algorithms that take inspiration from nature’s processes are frequently utilized for solving very complicated optimization problems due to their flexibility and efficiency. Within the context of this, the grey wolf optimizer (GWO) and the whale optimization algorithm (WOA) have become two of the most popular ...
Abdelmawla Yousef, Rahma Ezzat, Nora El-Rashidy   +2 more
openaire   +1 more source

Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. [PDF]

Comput Intell Neurosci, 2017
Li L, Sun L, Guo J, Qi J, Xu B, Li S.
europepmc   +1 more source

Grey wolf optimizer integrated within boosting algorithm: Application in mechanical properties prediction of ultra high-performance concrete including carbon nanotubes

The dataset was meticulously compiled from the literature [18,19,28–37,20,38,40–48,21,49–53,69,22–27] resulting in a comprehensive dataset comprising 291 nanomaterial samples and 159 micromaterial samples.
Kazemi, Farzin
core   +1 more source