NDLI: A Quantum-Inspired Evolutionary Algorithm for Coding Resource Optimization based Network Coding Multicasting

Content Provider	IEEE Xplore Digital Library
Author	Huanlai Xing Lin Bai Yuefeng Ji Yongmei Sun
Copyright Year	2008
Description	Author affiliation: Key Lab. of Optimal Commun. & lightwave Technol., Beijing Univ. of Post & Telecommun., Beijing, China (Huanlai Xing; Lin Bai; Yuefeng Ji; Yongmei Sun)
Abstract	This paper investigates the problem of minimizing the network coding resources while achieving the desired throughput in a multicast scenario. Since quantum-inspired evolutionary algorithm (QEA), a combination of quantum computing and evolutionary algorithm, can address NP-hard problem and is considered powerful in terms of global optimization, we propose an attempt to adapt QEA to avoid the computational complexity that makes the above problem NP-hard. The effectiveness and the applicability of QEA are demonstrated by carrying out simulation over a number of network topologies.
Starting Page	453
Ending Page	456
File Size	267708
Page Count	4
File Format	PDF
ISBN	9780769534015
DOI	10.1109/SKG.2008.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	network coding Laboratories Evolutionary computation Throughput Sun Multicast Quantum computing Multicast algorithms NP-hard problem Network topology Network coding quantum-inspired evolutionary algorithm Space exploration
Content Type	Text
Resource Type	Article

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A Quantum-Inspired Evolutionary Algorithm for Coding Resource Optimization based Network Coding Multicasting