Search Results - (( developing scale efficient algorithm ) OR ( java optimization technique algorithm ))
Search alternatives:
- java optimization »
- developing scale »
- scale efficient »
-
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
An Efficient Genetic Algorithm for Large Scale Vehicle Routing Problem Subject to Precedence Constraints
Published 2015“…Therefore, it can be stated that the genetic algorithm approach developed in this study is efficient in solving large scale vehicle routing problem subject to precedence constraints with the objective of minimizing the distance travelled.…”
Get full text
Get full text
Get full text
Article -
5
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 -
6
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
7
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 -
8
Scalable approach for mining association rules from structured XML data
Published 2009Get full text
Get full text
Conference or Workshop Item -
9
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 -
10
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 -
11
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 -
12
Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing
Published 2015“…In order to make our proposed method cost efficient, we developed Load Aware Over Cost algorithm which is 8% cost effective comparing with Load Aware algorithm. …”
Get full text
Get full text
Thesis -
13
Energy-efficient algorithms for dynamic virtual machine consolidation in cloud data centers
Published 2017“…Cloud computing has evolved with the development of large-scale data centers, including thousands of servers around the world. …”
Get full text
Get full text
Get full text
Article -
14
-
15
Scale-invariant and adaptive-search template matching for monocular visual odometry in low-textured environment
Published 2016“…Therefore, a new technique and algorithm were developed to resolve the image scale uncertainty. …”
Get full text
Get full text
Thesis -
16
-
17
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 -
18
Integration of fuzzy logic control algorithm in the development of optical fiber daylighting system for energy savings / Fuziah Sulaiman.
Published 2006“…The fuzzy automated lighting and dimming controller was successfully designed and developed. The scale modeling experiments revealed that the passive daylight collector and the larger diameter of 14 mm solid core endlight polymer optical fibres are most suitable for tropical climate. …”
Get full text
Get full text
Thesis -
19
New Quasi-Newton Equation And Method Via Higher Order Tensor Models
Published 2010“…Moreover, a new limited memory QN method to solve large scale unconstrained optimization is developed based on the modified BFGS updated formula. …”
Get full text
Get full text
Thesis -
20
Development of bi-objective optimization model for supply chain network design using data envelopment analysis
Published 2017“…The developed model and solution method show excellence performance in terms of CPU time for the large scale. …”
Get full text
Get full text
Thesis
