Search Results - (( progressive optimization approach algorithm ) OR ( java application using algorithm ))
Search alternatives:
- optimization approach »
- java application »
- using algorithm »
- progressive »
-
1
New random approaches of modified adaptive bats sonar algorithm for reservoir operation optimization problems
Published 2024“…The increasing interest among researchers in the application of metaheuristic algorithms for search optimization has resulted in notable progress, especially in tackling single objective optimization problems. …”
Get full text
Get full text
Thesis -
2
RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
Get full text
Get full text
Final Year Project -
3
-
4
-
5
Provider independent cryptographic tools
Published 2003Get full text
Get full text
Get full text
Monograph -
6
On Adopting Parameter Free Optimization Algorithms for Combinatorial Interaction Testing
Published 2015“…In doing so, this paper reviews two existing parameter free optimization algorithms involving Teaching Learning Based Optimization (TLBO) and Fruitfly Optimization Algorithm (FOA) in an effort to promote their adoption for CIT.…”
Get full text
Get full text
Get full text
Article -
7
-
8
-
9
An enhanced support vector regression -African Buffalo optimisation algorithm for electricity time series forecasting
Published 2023“…This study proposes a hybrid approach combining SVR and the African Buffalo Optimization (ABO) algorithm. …”
Get full text
Get full text
Get full text
Thesis -
10
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
Get full text
Get full text
Thesis -
11
Enhancement of ant colony optimization in multi-robot source seeking coordination
Published 2019“…Method apply in progress of the project can be divided into hardware platform, control and optimization, and lastly measurement and analysis method. …”
Get full text
Get full text
Get full text
Get full text
Proceedings -
12
Dual optimization approach in discrete Hopfield neural network
Published 2024Get full text
Get full text
Article -
13
Optimization Of Dynamic Transportation Task Assignment In A Manufacturing Facility
Published 2020“…An extensive survey of the research work for dynamic layout planning has been embraced in this paper with an investigation of various algorithms to optimize it. Hybrid algorithm can likewise be utilized to improve the plant layout. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
14
Intelligent classification algorithms in enhancing the performance of support vector machine
Published 2019“…The size of the archive in ACOMV is fixed while in IACOMV, the size of solution archive increases as the optimization procedure progress. Eight benchmark datasets from UCI were used in the experiments to validate the performance of the proposed algorithms. …”
Get full text
Get full text
Get full text
Article -
15
Real-Time Video Processing Using Native Programming on Android Platform
Published 2012“…However for the Android platform that based on the JAVA language, most of the software algorithm is running on JAVA that consumes more time to be compiled. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Direct approach for mining association rules from structured XML data
Published 2012Get full text
Get full text
Thesis -
17
DEVELOPMENT OF A NUMERICAL OPTIMIZATION TOOL FOR FPSO MOORING LINE PARAMETERS
Published 2023“…As the exploration of oil and gas progresses into deeper waters, efforts to utilise optimization techniques in automating the mooring design process are continuously being explored. …”
Get full text
Get full text
Thesis -
18
A new meta heuristic evolutionary programming (NMEP) in optimizing economic energy dispatch
Published 2016“…The proposed optimization algorithm, namely New Meta-Heuristic Evolutionary Programming (NMEP) algorithm is followed to Meta-Heuristic Evolutionary Programming (Meta-EP) approach with some modification where the cloning process embedded as a significant progress during the implementation. …”
Get full text
Get full text
Get full text
Article -
19
Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
Get full text
Get full text
Article -
20
Different mutation and crossover set of genetic programming in an automated machine learning
Published 2020“…The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm. …”
Get full text
Get full text
Article
