Search Results - (( programming variable genetic algorithm ) OR ( java application optimisation algorithm ))
Search alternatives:
- application optimisation »
- optimisation algorithm »
- programming variable »
- java application »
-
1
A Constraint Programming-based Genetic Algorithm (CPGA) for Capacity Output Optimization
Published 2014“…Purpose: The manuscript presents an investigation into a constraint programming-based genetic algorithm for capacity output optimization in a back-end semiconductor manufacturing company. …”
Get full text
Get full text
Get full text
Article -
2
A genetic algorithm for capital budgeting problem with fuzzy parameters
Published 2010“…Thereupon, a fuzzy simulation-based genetic algorithm is provided for solving chance constrained integer programming model with fuzzy parameters.…”
Get full text
Get full text
Conference or Workshop Item -
3
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
Get full text
Get full text
Get full text
Article -
4
The use of Cox regression and genetic algorithm (CoRGA) for identifying risk factors for mortality in older people
Published 2004“…This is partly because traditional statistical methods and software packages allow a restricted number of variables and combinations of variables. This article describes ongoing research to overcome these limitations through the CoRGA program, which combines Cox regression with a genetic algorithm for the variable selection process. …”
Get full text
Get full text
Get full text
Article -
5
Optimal planning of energy storage system for hybrid power system considering multi correlated input stochastic variables
Published 2025Subjects:Article -
6
Predictive Analytics in Genetic Engineering as an Optimization Problem
Published 2024“…Also, the predictive outcomes of the computational simulation that was implemented in Python programming indicate that these local cultivars are developing drought-tolerant genetic variability. …”
Get full text
Get full text
Get full text
Article -
7
-
8
Efficient genetic partitioning-around-medoid algorithm for clustering
Published 2019Get full text
Get full text
Thesis -
9
Optimization of Digital Electronic Circuit Structure Design Using Genetic Algorithm
Published 2008“…There are no specific procedure to choose the right theorem or postulate for the Boolean expression simplification and it is very impractical to design the digital circuits that have more than four variable. Karnaugh map can provide the simple minimization process for Boolean expression, but it encounters difficulties when the variable is more than four In this research, Genetic Algorithm (GA) technique is used as a tool to search for the optimal solution for the digital circuit structure. …”
Get full text
Get full text
Thesis -
10
-
11
Optimization Of Fuzzy Logic Controllers With Genetic Algorithm For Two-Part-Type And Re-Entrant Production Systems
Published 2008“…In multi-part-type and re-entrant production systems the priority of production as well as the production rate for each part type is determined by production control systems. A genetic algorithm is developed to tune the membership functions (MFs) of input variables of GDF and GSF controllers. …”
Get full text
Get full text
Thesis -
12
-
13
-
14
Application of Multi-objective Genetic Algorithm (MOGA) optimization in machining processes
Published 2020“…Multi-objectives Genetic Algorithm (MOGA) is one of many engineering optimization techniques, a guided random search method. …”
Get full text
Get full text
Get full text
Get full text
Book Chapter -
15
A Stepper Motor Design Optimization Using
Published 2005“…There is a need to fill this void in the area of small-motor design, and develop a program using Genetic Algorithms (GAs) as an approach to achieve optimization. …”
Get full text
Get full text
Monograph -
16
New genetic operator for solving the travelling salesman problem / Fadzilawani Astifar Alias ... [et al.]
Published 2015“…In this research, the heuristic method called Genetic Algorithm (GA) is used to solve the TSP. GA is a system developing methods that uses the natural principle of a genetic population and involves three main processes that are crossover, mutation and inversion. …”
Get full text
Get full text
Article -
17
OPTIMIZATION OF DESIGN PARAMETERS FOR A VARIABLE FREQUENCY 3-PHASE INDUCTION MOTOR
Published 2009“…The optimization technique used to optimize this objective functions is Genetic Algorithm (GA) which is a Non -Linear Programming technique. …”
Get full text
Get full text
Final Year Project -
18
Neural network modeling and optimization for spray-drying coconut milk using genetic algorithm and particle swarm optimization
Published 2022“…Firstly, using MATLAB program, the ANN model is developed based on optimized topology and is then furthered optimized by genetic algorithm (GA) and particle swarm optimization (PSO) using MINITAB program. …”
Get full text
Get full text
Thesis -
19
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
Get full text
Get full text
Thesis -
20
Random Amplified Polymorphic DNA Analysis of Four Breeds of Sheep in Malaysia
Published 1999“…High genetic values were seen within the Santa Ines breed (Dice: 0.0930; Jaccard: 0.1682) while the least variable population was the Dorset-Malin cross (Dice: 0.00693; Jaccard: 0.1280). …”
Get full text
Get full text
Thesis