Search Results - (( developing moderating generation algorithm ) OR ( java optimization techniques algorithm ))
Search alternatives:
- optimization techniques »
- developing moderating »
- moderating generation »
- generation algorithm »
- java optimization »
-
1
-
2
-
3
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 -
4
Hybrid genetic algorithm for improving fault localization
Published 2018“…Genetic algorithm (GA) is well known in finding an optimal solution to a problem while local search is capable of removing duplication. …”
Get full text
Get full text
Get full text
Article -
5
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
6
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 -
7
Scalable approach for mining association rules from structured XML data
Published 2009Get full text
Get full text
Conference or Workshop Item -
8
An ensemble learning method for spam email detection system based on metaheuristic algorithms
Published 2015“…Recently, various techniques based on different algorithms have been developed. …”
Get full text
Get full text
Thesis -
9
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 -
10
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 -
11
Design of Improved Stream Cipher Algorithms for GSM Communication
Published 2024thesis::master thesis -
12
Improved elitist genetic algorithm for reactive power planning in power system / Mohamad Fadhil Mohd Kamal
Published 2010“…This thesis presents a newly developed technique for the improvement of the elitist binary genetic algorithms (EGA) in implementing the reactive power planning (RPP) in power system. …”
Get full text
Get full text
Thesis -
13
-
14
An enhancement of multi-factor weighted approach technique in prioritizing test cases by comparing similarity distance
Published 2025“…Therefore, numerous factors and techniques have been used to optimize the prioritization process. …”
Get full text
Get full text
Get full text
Article -
15
Validation of combine white noise using simulated data
Published 2016“…The same generated EGARCH data are transformed to obtain CWN data and VAR data for the estimation of CWN and VAR.Each CWN results outperformed every result of the existing models.These results confirm that CWN is the appropriate model for estimation.The CWN model fit best in the transformed 200 sample sizes of EGARCH generated data with moderate leverage and moderate skewness. …”
Get full text
Get full text
Get full text
Article -
16
-
17
Penggunaan penggugusan subtraktif bagi menjana peraturan kabur
Published 2005“…Many methodologies to develop fuzzy logic rules have been previously studied. …”
Get full text
Get full text
Article -
18
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
Get full text
Get full text
Thesis -
19
Using genetic algorithms to optimise land use suitability
Published 2012“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
Get full text
Get full text
Thesis -
20
Dynamic scheduling in a multi-product manufacturing system
Published 2005“…An artificial neural network (ANN) model was developed and trained using various scheduling scenarios generated by ARENA simulation. …”
Get full text
Get full text
Monograph
