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A new genetic search strategy involving chromosome differentiation into two classes and a restricted form of crossover operation is defined. Its application to multi-dimensional pattern recognition problems is studied. Superiority of the classifier is established for four sets of different artificial and real-life data. Schema analysis is provided.
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