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.
CITATION STYLE
Nepomuceno, J. A., Troncoso, A., & Aguilar-Ruiz, J. S. (2009). A hybrid metaheuristic for biclustering based on scatter search and genetic algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5780 LNBI, pp. 199–210). https://doi.org/10.1007/978-3-642-04031-3_18
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