Search Results - (( developing areas generation algorithm ) OR ( java application optimization algorithm ))
Search alternatives:
- application optimization »
- generation algorithm »
- developing areas »
- areas generation »
- java application »
-
1
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
Published 2013Get full text
Get full text
Conference or Workshop Item -
2
Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
Get full text
Get full text
Conference or Workshop Item -
3
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
Get full text
Get full text
Final Year Project -
4
-
5
Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
Get full text
Get full text
Article -
6
Ant colony optimization algorithm for load balancing in grid computing
Published 2012Get full text
Get full text
Get full text
Monograph -
7
-
8
Computer Lab Timetabling Using Genetic Algorithm Case Study - Unit ICT
Published 2006“…Genetic Algorithm is one of the most popular optimization solutions used in various applications such as scheduling. …”
Get full text
Get full text
Thesis -
9
Development of heuristic methods based on genetic algorithm (GA) for solving vehicle routing problem
Published 2008“…New algorithms, journal papers and computerized system were also developed. …”
Get full text
Get full text
Monograph -
10
VLSI floor planning optimization using genetic algorithm and cross entropy method / Angeline Teoh Szu Fern
Published 2012“…They are Cross Entropy and also Genetic Algorithm. CE is a new algorithm that was recently developed using probability. …”
Get full text
Get full text
Thesis -
11
-
12
Examination timetabling using genetic algorithm case study: KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Thesis -
13
Examination Timetabling Using Genetic Algorithm Case Study : KUiTTHO
Published 2005“…Genetic Algorithm (GA) is one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
14
Improving Class Timetabling using Genetic Algorithm
Published 2006“…We have targeted the research on class timetabling problem. Hence, Genetic Algorithm (GA) is used as one of the most popular optimization solutions. …”
Get full text
Get full text
Get full text
Thesis -
15
-
16
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
17
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…Hybridize Particle Swarm Optimization (PSO) as a searching algorithm and support vector machine (SVM) as a classifier had been implemented to cope with this problem. …”
Get full text
Get full text
Thesis -
18
Prediction of Total Suspended Sediments in Penang Waters Using Remote Sensing
Published 2004“…Only the best-fit algorithm developed in this study was selected to predict the TSS concentrations from satellite imagery. …”
Get full text
Get full text
Thesis -
19
Starter Set Generation Based on Factorial Numbers for Half Wing of Butterfly Representation
Published 2021“…This new algorithm is still in the early stage and under development for the generation of the half wing of butterfly representation. …”
Get full text
Get full text
Get full text
Article -
20
An association rule mining approach in predicting flood areas
Published 2017“…Consequently, by using the Apriori algorithm, it generated the 10 best rules with 100% confidence level and 40% minimum support after the candidate generation and pruning technique. …”
Get full text
Get full text
Conference or Workshop Item
