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

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 i...

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Main Authors: Xing, Huanlai, Xu, Lexi, Qu, Rong, Qu, Zhijian
Format: Conference or Workshop Item
Published: 2016
Subjects:
Online Access:https://eprints.nottingham.ac.uk/39212/
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author Xing, Huanlai
Xu, Lexi
Qu, Rong
Qu, Zhijian
author_facet Xing, Huanlai
Xu, Lexi
Qu, Rong
Qu, Zhijian
author_sort Xing, Huanlai
building Nottingham Research Data Repository
collection Online Access
description 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.
first_indexed 2025-11-14T19:37:39Z
format Conference or Workshop Item
id nottingham-39212
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:37:39Z
publishDate 2016
recordtype eprints
repository_type Digital Repository
spelling nottingham-392122020-05-04T18:09:25Z https://eprints.nottingham.ac.uk/39212/ A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding Xing, Huanlai Xu, Lexi Qu, Rong Qu, Zhijian 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. 2016-09-28 Conference or Workshop Item PeerReviewed Xing, Huanlai, Xu, Lexi, Qu, Rong and Qu, Zhijian (2016) A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding. In: 16th International Symposium on Communications and Information Technologies (ISCIT 2016), 26-28 September 2016, Qingdao, China. Dynamic Network Environment; Multicast; Network Coding; Evolutionary Algorithm http://ieeexplore.ieee.org/document/7751618/
spellingShingle Dynamic Network Environment; Multicast; Network Coding; Evolutionary Algorithm
Xing, Huanlai
Xu, Lexi
Qu, Rong
Qu, Zhijian
A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
title A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
title_full A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
title_fullStr A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
title_full_unstemmed A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
title_short A quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
title_sort quantum inspired evolutionary algorithm for dynamic multicast routing with network coding
topic Dynamic Network Environment; Multicast; Network Coding; Evolutionary Algorithm
url https://eprints.nottingham.ac.uk/39212/
https://eprints.nottingham.ac.uk/39212/