Building energy optimization using Grey Wolf Optimizer (GWO)
In the present research, the Grey Wolf Optimizer (GWO) was used to minimize the yearly energy consumption of an office building in Seattle weather conditions. The GWO is a meta-heuristic optimization method, which was inspired by the hunting behavior of grey wolfs.
Mehdi Ghalambaz +2 more
doaj +6 more sources
Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO)
Evolutionary algorithms suffer significantly from a stack at the local optima. This paper proposes a new strategy that detects when the search gets stuck in a local optimum and then switches to a more dynamic approach to escape. The proposed model is based on simulating eight pattern movements and embedded with a Grey Wolf Optimizer algorithm (GWO). It
Lec. Ali Hakem Alsaeedi +3 more
doaj +5 more sources
An Energy-Efficient No Idle Permutations Flow Shop Scheduling Problem Using Grey Wolf Optimizer Algorithm [PDF]
Energy consumption has become a significant issue in businesses. It is known that the industrial sector has consumed nearly half of the world's total energy consumption in some cases.
Cynthia Novel Al-Imron +2 more
doaj +3 more sources
Rekonfigurasi Jaringan Distribusi Untuk Meminimalisasi Rugi-Rugi Daya Dengan Menggunakan Metode Grey Wolf Optimizer (GWO) [PDF]
Rekonfigurasi jaringan pada jaringan distribusi merupakan suatu proses atau usaha untuk mengubah status sakelar pada saluran yang terhubung (sectionalizing switch) dan yang tidak terhubung (tie switch) dengan tujuan untuk meminimalisasi rugi-rugi daya ...
M. Harbi Rai Pangestu
openalex +3 more sources
Grey wolf optimizer (GWO) for automated offshore crane design [PDF]
In this paper, a new meta-heuristic optimization algorithm called Grey Wolf Optimizer (GWO) is applied to offshore crane design. An offshore crane is a pedestal-mounted elevating and rotating lifting device used to transfer materials or personnel to or from marine vessels, barges and structures whereby the load can be moved horizontally in one or more ...
Ibrahim A. Hameed +2 more
openalex +3 more sources
Grey Wolf Optimizer (GWO) Algorithm to Solve the Partitional Clustering Problem
The clustering which is an unsupervised classification method is very important for data processing applications. The main purpose of the clustering is to separate the data samples into different groups by using the similarity (or dissimilarity) between data samples. There are many conventional and heuristic algorithms which are used for the clustering
Murat Karakoyun +2 more
openalex +4 more sources
Optimasi Parameter Support Vector Regression (SVR) Menggunakan Algoritma Grey Wolf Optimizer (GWO)
Prediksi adalah suatu metode yang dilakukan untuk mendapatkan gambaran atau memperkirakan sesuatu yang terjadi di masa yang akan datang dengan menggunakan informasi atau data yang ada pada masa lampau dan masa kini. Support Vector Regression (SVR) merupakan salah satu metode yang digunakan untuk melakukan prediksi.
Nia Andriani Laila
+6 more sources
OPTIMASI KAPASITAS BANK KAPASITOR UNTUK MEREDUKSI RUGI-RUGI DAYA PADA PENYULANG WORTEL MENGGUNAKAN METODE GREY WOLF OPTIMIZER (GWO) [PDF]
Intisari — Jarak yang jauh antara sisi penyuplai energi listrik dan sisi konsumen (beban) pada jaringandistribusi menimbulkan permasalahan seperti meningkatnya rugi-rugi daya di sepanjang saluran dan jatuhtegangan.
Christopher Theophilus Prayogo +2 more
openalex +3 more sources
IMPLEMENTASI ALGORITMA GREY WOLF OPTIMIZER (GWO) DI TOKO CITRA TANI JEMBER
Generally, optimization is defined as the process of determining the minimum or maximum value that depends on the function of the goal, even now there are many problems regarding optimization. One of them is the problem regarding the selection of goods to be included in a limited storage medium called Knapsack problem.
Vidiyanti Lestari +2 more
openalex +2 more sources
GWO-FNN: Fuzzy Neural Network Optimized via Grey Wolf Optimization [PDF]
This study introduces the GWO-FNN model, an improvement of the fuzzy neural network (FNN) architecture that aims to balance high performance with improved interpretability in artificial intelligence (AI) systems. The model leverages the Grey Wolf Optimizer (GWO) to fine-tune the consequents of fuzzy rules and uses mutual information (MI) to initialize ...
Paulo Vitor de Campos Souza +1 more
openalex +3 more sources

