Ponencia
A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms
Autor/es | Nepomuceno Chamorro, Juan Antonio
![]() ![]() ![]() ![]() ![]() ![]() ![]() Troncoso Lora, Alicia Aguilar Ruiz, Jesús Salvador |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2009 |
Fecha de depósito | 2022-05-26 |
Publicado en |
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ISBN/ISSN | 978-3-642-04030-6 0302-9743 |
Resumen | 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 ... 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. |
Agencias financiadoras | Ministerio de Ciencia Y Tecnología (MCYT). España Junta de Andalucía |
Identificador del proyecto | TIN-68084-C02-01
![]() P07-TIC-02611 ![]() |
Cita | Nepomuceno Chamorro, J.A., Troncoso Lora, A. y Aguilar Ruiz, J.S. (2009). A Hybrid Metaheuristic for Biclustering Based on Scatter Search and Genetic Algorithms. En PRIB 2009: 4th IAPR International Conference on Pattern Recognition in Bioinformatics (199-210), Sheffield, UK: Springer. |
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