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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. Moreover, in the own algorithm the overlapping among biclusters is controlled adding...
This paper proposes a hybrid algorithm that combines the principles of a traditional genetic algorithm enhanced with genetic screening and the exploration process of a scatter search algorithm to produce a novel approach. After the algorithm is presented, the algorithm is tested on a classic image compression problem using vector quantization. The goal is to show that this hybrid algorithm can be...
The microarray data consists of tens of thousands of genes on a genomic scale. To avoid higher computational complexity, it needs gene selection to find the gene subsets that are able to explain the disease. In this paper, an improving gene selection for microarray data is proposed. In the proposed algorithm, scatter search is used to obtain suitable parameter settings for support vector machine and...
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