Search Results - (( gene selection problem algorithm ) OR ( java adaptation optimization algorithm ))
Search alternatives:
- adaptation optimization »
- selection problem »
- problem algorithm »
- java adaptation »
- gene selection »
-
1
Mutable composite firefly algorithm for gene selection in microarray based cancer classification
Published 2022“…This leads to the classification accuracy and genes subset size problem. Hence, this study proposed to modify the Firefly Algorithm (FA) along with the Correlation-based Feature Selection (CFS) filter for the gene selection task. …”
Get full text
Get full text
Thesis -
2
Parallel distributed genetic algorithm development based on microcontrollers framework
Published 2023Conference paper -
3
A combinatory algorithm of univariate and multivariate gene selection
Published 2009“…Gene selection is usually based on univariate or multivariate methods. …”
Get full text
Get full text
Get full text
Article -
4
Gene subset selection for lung cancer classification using a multi-objective strategy
Published 2008“…It has been shown that selecting a small subset of genes can lead to improved classification accuracy. …”
Get full text
Get full text
Article -
5
Gene Selection For Cancer Classification Based On Xgboost Classifier
Published 2022“…Gene selection is the technique that applied to the gene selection dataset, such as DNA microarray, which is develop to reduce the less informative gene, so that the selected gene is related to the disease diagnosis. …”
Get full text
Get full text
Undergraduates Project Papers -
6
Effective gene selection techniques for classification of gene expression data
Published 2005“…When classifying tissue samples, gene selection plays an important role. In this research, some existing gene selection techniques are studied and better gene selection techniques are proposed and developed. …”
Get full text
Get full text
Thesis -
7
Filter-Wrapper Methods For Gene Selection In Cancer Classification
Published 2018“…First, MRMR hybridisation and BA adaptation are investigated to resolve the gene selection problem. The proposed method is called MRMR-BA.…”
Get full text
Get full text
Thesis -
8
Fuzzy genetic algorithms for combinatorial optimisation problems
Published 2012“…The proposed sexual selection and the FGAs are applied to combinatorial optimization problems specifically to those involving selection problems. …”
Get full text
Get full text
Thesis -
9
A model for gene selection and classification of gene expression data
Published 2007“…One problem arising from these data is how to select a small subset of genes from thousands of genes and a few samples that are inherently noisy. …”
Get full text
Get full text
Get full text
Article -
10
Integrated framework with association analysis for gene selection in microarray data classification
Published 2011“…To achieve that, an integrated framework with a new gene selection method was developed to improve classification performance in terms of accuracy and number of selected genes. …”
Get full text
Get full text
Thesis -
11
Vehicle routing problem using genetic algorithm / Shamini Nagaratnam
Published 2006“…Fixed length chromosomes and their genes have been used for encoding this problem. …”
Get full text
Get full text
Get full text
Thesis -
12
The importance of data classification using machine learning methods in microarray data
Published 2021“…A subset of genes can be selected from a pool of gene expression data recorded on DNA micro-arrays. …”
Get full text
Get full text
Get full text
Article -
13
Efficient relay placement algorithm using landscape aware routing (erpalar)
Published 2011“…ERP ALAR was implemented in Matlab R2009a using Genetic Algorithm (GA) with multi-objectives. GA is an optimization algorithm that simulates natural selection process as found in nature. …”
Get full text
Get full text
Thesis -
14
An enhanced feature selection and cancer classification for microarray data using relaxed Lasso and support vector machine
Published 2021“…Thus, various feature selection methods have been developed intended to reduce the dimensionality of microarray as well as to select only the most relevant genes. …”
Get full text
Get full text
Get full text
Get full text
Book Chapter -
15
Linear-pso with binary search algorithm for DNA motif discovery / Hazaruddin Harun
Published 2015“…Therefore, this study addresses these problems by introducing a hybrid algorithm for MD. …”
Get full text
Get full text
Thesis -
16
Solving security staff scheduling by using genetic algorithm
Published 2021“…A heuristic method, the genetic algorithm is selected to solve this research problem as it is a powerful tool, shown in addressing the scheduling problem. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
17
Anfis Modelling On Diabetic Ketoacidosis For Unrestricted Food Intake Conditions
Published 2017“…The project has also implemented the optimization process onto the proposed ANFIS model through the hybrid of Genetic Algorithm on the fuzzy membership function of the ANFIS model. …”
Get full text
Get full text
Get full text
Get full text
Thesis -
18
Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The five (5) AADTs include; a variant of the simulated annealing algorithm that implements heuristic knowledge at critical decision points, two (2) cooperative search schemes based on a “loose hybridization” of the Boltzmann Machine algorithm with (i) simulated annealing, and (ii) genetic algorithm search techniques, and two (2) modified genetic algorithms. …”
Get full text
Get full text
Thesis -
19
Improved Genetic Algorithm Multilayer Perceptron Network For Data Classification
Published 2017“…The improved GA is then applied for optimization and automatic design of multilayer perceptron (MLP) neural network in solving pattern classification problem. Hidden node size, initial weights and feature selection of the MLP that play significant role in the classification performance are selected to be automatically optimized by the improved GA. …”
Get full text
Get full text
Thesis