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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
