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

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

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.

Citation

Xing, H., Xu, L., Qu, R., & Qu, Z. (2016). A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding.

• Conference Name: 16th International Symposium on Communications and Information Technologies (ISCIT 2016)
• End Date: Sep 28, 2016
• Acceptance Date: Jun 6, 2016
• Online Publication Date: Nov 24, 2016
• Publication Date: Sep 28, 2016
• Deposit Date: Jan 17, 2017
• Publicly Available Date: Jan 17, 2017
• Peer Reviewed: Peer Reviewed
• Keywords: Dynamic Network Environment; Multicast; Network Coding; Evolutionary Algorithm
• Public URL: https://nottingham-repository.worktribe.com/output/809087
• 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
• 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.
• Contract Date: Jan 17, 2017