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Genetic algorithm (GA) is an efficient method based on the natural selection for global optimization. To take the advantages of GA, the primary goal of this paper is to extend or generalize GA to the m-best subset selection problems. In m-best subset selection, a subset consists of m alternatives is selected from n alternatives to form a group to fulfill a goal most efficiently. This paper concentrates...
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