Search Results - (( gene selection problem algorithm ) OR ( java application optimization algorithm ))
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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. …”
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A combinatory algorithm of univariate and multivariate gene selection
Published 2009“…Gene selection is usually based on univariate or multivariate methods. …”
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Article -
3
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. …”
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4
Optimization of blood vessel detection in retina images using multithreading and native code for portable devices
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Performance evaluation of real-time multiprocessor scheduling algorithms
Published 2016“…These results suggests that optimal algorithms may turn to be non-optimal when practically implemented, unlike USG which reveals far less scheduling overhead and hence could be practically implemented in real-world applications. …”
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Conference or Workshop Item -
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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. …”
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Undergraduates Project Papers -
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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. …”
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8
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.…”
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9
Route Optimization System
Published 2005“…After much research into the many algorithms available, and considering some, including Genetic Algorithm (GA), the author selected Dijkstra's Algorithm (DA). …”
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Final Year Project -
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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. …”
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11
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. …”
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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection
Published 2022“…Enhance hybrid genetic algorithm and particle Swarm optimization are developed to select the optimal device in either fog or cloud. …”
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14
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. …”
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15
Vehicle routing problem using genetic algorithm / Shamini Nagaratnam
Published 2006“…Fixed length chromosomes and their genes have been used for encoding this problem. …”
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Ant colony optimization algorithm for load balancing in grid computing
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Monograph -
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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. …”
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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. …”
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20
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. …”
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