Search Results - (( job application bees algorithm ) OR ( _ application ((system algorithm) OR (tree algorithm)) ))*
Search alternatives:
- application bees »
- system algorithm »
- job application »
- bees algorithm »
- tree algorithm »
-
1
Bee foraging behaviour techniques for grid scheduling problem
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.These resources are collected together to make a huge computing power.Job scheduling problem is one of the key issues in grid computing and failing to look into grid scheduling results in uncompleted view of the grid computing.Achieving optimized performance of grid system, and matching application requirements with available computing resources, are the objectives of grid job scheduling.Bee colony approaches are more adaptive to grid scheduling due to high heterogeneous and dynamic nature of resources and applications in grid.These algorithms have shown encouraging results in terms of time and cost.This paper presents some resent research activities inspired by bee foraging behavior for grid job scheduling especially ABC and BCO approaches.Different original studies related to this area are briefly described along with their comparisons against them and results.The review summary of their derived algorithms and research efforts is done.…”
Get full text
Get full text
Get full text
Article -
2
Reinforcement Learning Algorithm for Optimising Durian Irrigation Systems: Maximising Growth and Water Efficiency
Published 2024“…This study presents a Reinforcement Learning-based algorithm designed to optimise irrigation for Durio Zibethinus (i.e., durian) trees, aiming to maximise tree growth and reduce water usage. …”
Get full text
Get full text
Get full text
Article -
3
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 -
4
Wireless sensor nodes deployment using multi-robot based on improved spanning tree algorithm
Published 2015“…Employing a multi-robot system and path planning with spanning tree algorithm is a strategy for speeding up sensor node deployment. …”
Get full text
Get full text
Thesis -
5
Optimizing tree planting areas through integer programming and improved genetic algorithm
Published 2012“…These proposed strategies were applied in an application named the Lining Layout Planning by Intelligent Computerized System. …”
Get full text
Get full text
Thesis -
6
-
7
Classification model for hotspot occurrences using spatial decision tree algorithm
Published 2013“…We improved the ID3 decision tree algorithm such that it can be utilized on spatial data in order to develop a classification model for hotspots occurrence. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Dynamic Tree Based Anti-Collision Algorithm for RFID System
Published 2017Get full text
Get full text
Final Year Project / Dissertation / Thesis -
10
Tree-based machine learning in classifying reverse migration/ Azreen Anuar, Nur Huzeima Mohd Hussain and Hugh Byrd
Published 2023“…The findings revealed that tree-based machine learning algorithms performed slightly better than linear-based algorithms in terms of accuracy of prediction, with an improvement of approximately 1%. …”
Get full text
Get full text
Get full text
Article -
11
-
12
State of charge estimation for lithium-ion battery based on random forests technique with gravitational search algorithm
Published 2023Conference Paper -
13
Predication of entropy generation rate in a concentrating photovoltaic thermal system with twisted tube turbulator using Boosted regression tree algorithm
Published 2025“…In this paper, we propose the application of the Boosted Regression Tree (BRT) algorithm to predict the entropy generation rate in a CPVT system equipped with a perforated twisted tube turbulator. …”
Article -
14
A Data Mining Approach to Construct Graduates Employability Model in Malaysia
Published 2024Get full text
journal::journal article -
15
-
16
Selection, generation and extraction of MCCTree using XMCCTree
Published 2012Get full text
Get full text
Get full text
Article -
17
-
18
An optimized variant of machine learning algorithm for datadriven electrical energy efficiency management (D2EEM)
Published 2024“…This study recommends a selection trade-off as the function of prediction efficiency and efficacy of the algorithm. Particularly, the proposed optimized Bagged Trees are the most effective algorithm for energy demand prediction applications, and the proposed optimized Medium Trees are the most efficient algorithm for real-time systems. …”
Get full text
Get full text
Thesis -
19
-
20