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This paper presents a simple, efficient, real number encoding genetic algorithm. The algorithm has omitted the workload of encoding and selection, it adopts deterministic induced crossover and mutation operators to improve the algorithm's ability of local convergence; And introduced foreign populations by the theory of the bee evolution genetic algorithm, which has strengthened the capacity of mining...
Analyzed the principles and implementation steps of ID3 and the existing two improved ID3 algorithms proposed in [4] and [5]. ID3 has the shortcoming of inclining to choose attributes which have many values. Although the current two improved classification algorithms have solved the shortcoming of ID3, their classification time is not enough short, and their classification accuracy is not enough high...
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