Results 11 to 20 of about 22,927 (228)

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

open access: yesITM 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

Multi-Objective Task Scheduling Optimization for Load Balancing in Cloud Computing Environment Using Hybrid Artificial Bee Colony Algorithm With Reinforcement Learning

open access: yesIEEE Access, 2022
Workload balancing in cloud computing is still challenging problem, especially in Infrastructure as a Service (IaaS) in the cloud model. A problem that should not occur during cloud access is a host or server being overloaded or underloaded, which may ...
B. Kruekaew, W. Kimpan
semanticscholar   +1 more source

The Prediction of Sports Economic Development Prospect in Different Regions by Improved Artificial Bee Colony Algorithm

open access: yesDiscrete 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
doaj   +1 more source

A Method for Degenerate Primer Design Based on Artificial Bee Colony Algorithm

open access: yesApplied 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   +4 more
doaj   +1 more source

Improved binary artificial bee colony algorithm [PDF]

open access: yesFrontiers of Information Technology & Electronic Engineering, 2021
The Artificial Bee Colony (ABC) algorithm is an evolutionary optimization algorithm based on swarm intelligence and inspired by the honey bees' food search behavior. Since the ABC algorithm has been developed to achieve optimal solutions by searching in the continuous search space, modification is required to apply this method to binary optimization ...
openaire   +2 more sources

Malware detection using artificial bee colony algorithm [PDF]

open access: yesAdjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, 2020
Malware detection has become a challenging task due to the increase in the number of malware families. Universal malware detection algorithms that can detect all the malware families are needed to make the whole process feasible. However, the more universal an algorithm is, the higher number of feature dimensions it needs to work with, and that ...
Mohammadi, Farid Ghareh   +3 more
openaire   +2 more sources

The Application of Artificial Bee Colony Algorithm to Optimizing Vehicle Routes Problem

open access: yesJournal of Information System, Technology and Engineering, 2023
The problem of vehicle routing with capacity is a combinatorial optimization problem that is included in the NP-Hard category. In this article, we suggest an artificial bee colony algorithm, which is a technique inspired by the clever behavior of bees in
Yenny Anggreini Sarumaha   +2 more
semanticscholar   +1 more source

Improvement SVM Classification Performance of Hyperspectral Image Using Chaotic Sequences in Artificial Bee Colony

open access: yesIEEE 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   +3 more
doaj   +1 more source

Optimised Internet of Thing framework based hybrid meta‐heuristic algorithms for E‐healthcare monitoring

open access: yesIET 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   +4 more
wiley   +1 more source

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

open access: yesMathematics, 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   +5 more
doaj   +1 more source

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