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A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding

Xing, Huanlai; Xu, Lexi; Qu, Rong; Qu, Zhijian

Authors

Huanlai Xing hxx@swjtu.edu.cn

Lexi Xu

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RONG QU rong.qu@nottingham.ac.uk
Associate Professor

Zhijian Qu



Abstract

This paper studies and models the multicast routing problem with network coding in dynamic network environment, where computational and bandwidth resources are to be jointly optimized. A quantum inspired evolutionary algorithm (QEA) is developed to address the problem above, where a restart scheme is devised for well adapting QEA for tracing the ever-changing optima in dynamic environment. Experimental results show that the proposed QEA outperforms a number of existing evolutionary algorithms in terms of the best solution obtained.

Publication Date Sep 28, 2016
Peer Reviewed Peer Reviewed
APA6 Citation Xing, H., Xu, L., Qu, R., & Qu, Z. (2016). A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
Keywords Dynamic Network Environment; Multicast; Network Coding; Evolutionary Algorithm
Publisher URL http://ieeexplore.ieee.org/document/7751618/
Related Public URLs http://www.iscit2016.org/
http://www.cs.nott.ac.uk/~pszrq/files/ISCIT16.pdf
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingh.../end_user_agreement.pdf
Additional Information doi:10.1109/ISCIT.2016.7751618

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf





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