Abstract
This Quantum evolutionary algorithm is a newly developed method of probability optimization based on principles of quantum computing. Regarding complex optimization problems, quantum evolutionary algorithm has a strong search capability and the most optimal performance. Network intrusion detection problem can be converted into the one of data optimal classification, thus this paper introduces the quantum evolutionary algorithm to achieve the whole optimization process. The comparison simulation experiments have been carried out and the experimental results show the feasibility and effectiveness of methods proposed by this paper.
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