Title
A hybrid metaheuristic for biclustering based on scatter search and genetic algorithms
Date Issued
16 October 2009
Access level
open access
Resource Type
conference paper
Author(s)
Nepomuceno J.
Troncoso A.
University of Sevilla
Abstract
In this paper a hybrid metaheuristic for biclustering based on Scatter Search and Genetic Algorithms is presented. A general scheme of Scatter Search has been used to obtain high-quality biclusters, but a way of generating the initial population and a method of combination based on Genetic Algorithms have been chosen. Experimental results from yeast cell cycle and human B-cell lymphoma are reported. Finally, the performance of the proposed hybrid algorithm is compared with a genetic algorithm recently published. © 2009 Springer Berlin Heidelberg.
Start page
199
End page
210
Volume
5780 LNBI
Language
English
OCDE Knowledge area
Informática y Ciencias de la Información Matemáticas
Scopus EID
2-s2.0-70349857948
ISBN
3642040306 9783642040306
ISSN of the container
16113349
ISBN of the container
3642040306, 978-364204030-6
DOI of the container
10.1007/978-3-642-04031-3_18
Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sources of information: Directorio de Producción Científica Scopus