Search Results - (( _ application ((means algorithm) OR (bees algorithm)) ) OR ( its application new algorithm ))*
Search alternatives:
- means algorithm »
- application new »
- bees algorithm »
- new algorithm »
-
1
Data clustering using the bees algorithm
Published 2007Get full text
Get full text
Conference or Workshop Item -
2
Hybrid Metaheuristic Algorithm for Short Term Load Forecasting
Published 2016Get full text
Get full text
Get full text
Article -
3
Performance Enhancement Of Artificial Bee Colony Optimization Algorithm
Published 2013“…Artificial Bee Colony (ABC) algorithm is a recently proposed bio-inspired optimization algorithm, simulating foraging phenomenon of honeybees. …”
Get full text
Get full text
Thesis -
4
A near-optimal centroids initialization in K-means algorithm using bees algorithm
Published 2009Get full text
Get full text
Get full text
Conference or Workshop Item -
5
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation
Published 2021“…Consequently, a new meta-heuristic based t -way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. …”
Get full text
Get full text
Article -
6
HABCSm: A Hamming Based t -way Strategy based on Hybrid Artificial Bee Colony for Variable Strength Test Sets Generation
Published 2021“…Consequently, a new meta-heuristic based t -way strategy called Hybrid Artificial Bee Colony (HABCSm) strategy, based on merging the advantages of the Artificial Bee Colony (ABC) algorithm with the advantages of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. …”
Get full text
Get full text
Article -
7
Development Of Artificial Bee Colony (Abc) Variants And Memetic Optimization Algorithms
Published 2017“…One of BIAs, artificial bee colony (ABC) optimization algorithm, has shown excellent performance in many applications compared to other optimization algorithms. …”
Get full text
Get full text
Thesis -
8
-
9
-
10
-
11
-
12
Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
Published 2014“…This study proposed a hybrid algorithm, based on Artificial Bee Colony (ABC) and LSSVM, that consists of three algorithms; ABC-LSSVM, lvABC-LSSVM and cmABC-LSSVM. …”
Get full text
Get full text
Get full text
Thesis -
13
Artificial Bee Colony Algorithm for Pairwise Test Generation
Published 2017“…In a case where PABC is not at its optimal stage or its best performance, the experiments of a test case are effectively competitive. PABC progresses as a means to achieve the effective use of the artificial bee colony algorithm for pairwise testing reduction.…”
Get full text
Get full text
Get full text
Article -
14
Acoustic emission partial discharge localization in oil based on artificial bee colony
Published 2025“…This study explores the application of an artificial bee colony (ABC) to locate partial discharge (PD) in a test tank based on acoustic emission (AE) approach. …”
Get full text
Get full text
Get full text
Article -
15
Angle Based Protein Tertiary Structure Prediction Using Bees Optimization Algorithm
Published 2010“…In this project, angles based control with Bees Optimization search algorithm were adopted to search with guidance the protein conformational space in order to find the optimum solution. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
16
Beta Distribution Weighted Fuzzy C-Ordered-Means Clustering
Published 2024“…The fuzzy C-ordered-means clustering (FCOM) is a fuzzy clustering algorithm that enhances robustness and clustering accuracy through the ordered mechanism based on fuzzy C-means (FCM). …”
Get full text
Get full text
Get full text
Get full text
Article -
17
Multi objective bee colony optimization framework for grid job scheduling
Published 2013“…Grid computing is the infrastructure that involves a large number of resources like computers, networks and databases which are owned by many organizations.Job scheduling problem is one of the key issues because of high heterogeneous and dynamic nature of resources and applications in the grid computing environment.Bee colony approach has been used to solve this problem because it can be easily adapted to the grid scheduling environment.The bee algorithms have shown encouraging results in terms of time and co st.In this paper a framework for multi objective bee colony optimization is proposed to schedule batch jobs to available resources where the number of jobs is greater than the number of resources.Pareto analysis and k-means analysis are integrated in the bee colony optimization algorithm to facilitate the scheduling of jobs to resources.…”
Get full text
Get full text
Get full text
Conference or Workshop Item -
18
-
19
-
20
Application of LSSVM by ABC in energy commodity price forecasting
Published 2014Get full text
Get full text
Get full text
Conference or Workshop Item
