DocumentCode
1529400
Title
A Population Based Incremental Learning for Network Coding Resources Minimization
Author
Xing, Huanlai ; Qu, Rong
Author_Institution
Automated Scheduling, Optimisation & Planning (ASAP) Group, Univ. of Nottingham, Nottingham, UK
Volume
15
Issue
7
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
698
Lastpage
700
Abstract
In network coding based multicast, coding operations need to be minimized as they consume computational resources and increase data processing complexity at corresponding nodes in the network. To address the problem, we develop a population based incremental learning algorithm which shows to outperform existing algorithms in terms of both the solution obtained and computational time consumed on networks with various features.
Keywords
genetic algorithms; multicast communication; network coding; probability; coding operation; competitive learning; computational resource; data processing complexity; genetic algorithm; multicast; network coding; network node; population based incremental learning algorithm; probability; resource minimization; Encoding; Evolutionary computation; Genetic algorithms; Merging; Network coding; Optimization; Strontium; multicast; network coding; population based incremental learning;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2011.051911.110274
Filename
5779022
Link To Document