Results 1 to 10 of about 5,089 (182)

A hybrid artificial bee colony algorithm for transformer vibration fundamental frequency amplitude prediction [PDF]

ITM Web of Conferences, 2022
The fundamental frequency amplitude of transformer surface vibration signal is an important basis for judging transformer status. It is very important to predict the amplitude of fundamental frequency quickly and accurately.
Wang Jianping, Li Wanlin
doaj   +1 more source

Clustering of Typical Wind Power Scenarios Based on K-Means Clustering Algorithm and Improved Artificial Bee Colony Algorithm

IEEE Access, 2022
An improved artificial bee colony algorithm (IABC) was proposed to solve the problems of the k-means clustering (KMC) algorithm, such as poor global search ability, sensitive selection of initial cluster center, randomness of initialization, precocity ...
Gang Yao, Yang Wu, Xiaoxu Huang, Qinfeng Ma, Jiang Du   +4 more
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The Prediction of Sports Economic Development Prospect in Different Regions by Improved Artificial Bee Colony Algorithm

Discrete Dynamics in Nature and Society, 2022
In order to study the development of the sports economy in different regions and analyze the future development prospect of sports economy, this paper uses the k-clustering method to improve the artificial bee colony algorithm and further improve the ...
Lei Liu, Guangda Song
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A Method for Degenerate Primer Design Based on Artificial Bee Colony Algorithm

Applied Sciences, 2022
Aiming to address the complex degenerate primer design problem in the biological field, in this paper, we design a degenerate primer optimization model considering primer coverage and degeneracy that allows a small number of base mismatches, and propose ...
Ruhui Liu, Jiaxu Ning, Yueqiu Jiang, Xianghe Wang, Jiaxuan Wu   +4 more
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Improvement SVM Classification Performance of Hyperspectral Image Using Chaotic Sequences in Artificial Bee Colony

IEEE Access, 2020
Artificial bee colony algorithm is an effective algorithm for parameter optimization, but the traditional artificial bee colony algorithm is liable to fall into local extreme points at a later stage.
Cuijie Zhao, Hongdong Zhao, Guozhen Wang, Hong Chen   +3 more
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Optimal Location of FACTS Devices in Order to Simultaneously Improving Transmission Losses and Stability Margin Using Artificial Bee Colony Algorithm

IEEE Access, 2021
It is not possible to use the full capacity of the transmission lines due to voltage limitations and stability issues. Therefore, compensators must be used to improve the transmission line capacity.
Mehrdad Ahmadi Kamarposhti, Hassan Shokouhandeh, Ilhami Colak, Shahab S. Band, Kei Eguchi   +4 more
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Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

IET Networks, EarlyView., 2022
Abstract Everything can be connected in the Internet of Things (IoTs) technology that enables efficient communication between connected objects. IoTs industry‐based meta‐heuristic and mining algorithms, which are considered an important field of Artificial Intelligence will be used to construct a healthcare application in this study for lowering costs,
Muhaned Al‐Hashimi, Shymaa Mohammed Jameel, Firas Husham Almukhtar, Musaddak Maher Abdul Zahra, Refed Adnan Jaleel   +4 more
wiley   +1 more source

Non-Systematic Weighted Satisfiability in Discrete Hopfield Neural Network Using Binary Artificial Bee Colony Optimization

Mathematics, 2022
Recently, new variants of non-systematic satisfiability logic were proposed to govern Discrete Hopfield Neural Network. This new variant of satisfiability logical rule will provide flexibility and enhance the diversity of the neuron states in the ...
Siti Syatirah Muhammad Sidik, Nur Ezlin Zamri, Mohd Shareduwan Mohd Kasihmuddin, Habibah A. Wahab, Yueling Guo, Mohd. Asyraf Mansor   +5 more
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Artificial Bee Colony Algorithm for Cloud Task Scheduling [PDF]

IJCI International Journal of Computers and Information, 2015
Cloud computing services are becoming ubiquitous, and are becoming the primary source of computing power for both enterprises and personal computing applications. One of the fundamental issues in this environment is related to task scheduling.
Medhat Tawfik, Ashraf Bahgat, Arabi Keshk, F. Torkey   +3 more
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Enhancing of Artificial Bee Colony Algorithm for Virtual Machine Scheduling and Load Balancing Problem in Cloud Computing

International Journal of Computational Intelligence Systems, 2020
This paper proposes the combination of Swarm Intelligence algorithm of artificial bee colony with heuristic scheduling algorithm, called Heuristic Task Scheduling with Artificial Bee Colony (HABC).
Boonhatai Kruekaew, Warangkhana Kimpan
doaj   +1 more source