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This paper proposes a methodology that incorporates the process of attribute reduction in rough sets into crossover in genetic algorithms (GAs). We develop two algorithms on the basis of the methodology. The first one selects the crossover points either by attribute reduction or randomly; the second one selects the points only by attribute reduction and no crossover otherwise. We study 0/1 knapsack...
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