Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization
Wavelength division multiplexing networks using wavelength-routing have emerged as a popular architectural solution for wide area networks. In this study, we introduce a novel evolutionary algorithm so-called particle swarm optimizer (PSO) to find the optimal solution to the converters placement pro...
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my-mmu-ep.8682010-07-07T09:22:15Z Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization 2005-06 Teo , Choon Fang TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Wavelength division multiplexing networks using wavelength-routing have emerged as a popular architectural solution for wide area networks. In this study, we introduce a novel evolutionary algorithm so-called particle swarm optimizer (PSO) to find the optimal solution to the converters placement problem. The major advantage of this algorithm is that it does not need to build up a search tree or to create auxiliary graphs in finding the optimal solutions that have been done recently. In addition, the computed results show that only a few particles are needed to search the optimal solutions of the placement of wavelenght converters problem in an arbitrary mesh network. 2005-06 Thesis http://shdl.mmu.edu.my/868/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library |
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TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television |
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TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Teo , Choon Fang Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization |
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Wavelength division multiplexing networks using wavelength-routing have emerged as a popular architectural solution for wide area networks. In this study, we introduce a novel evolutionary algorithm so-called particle swarm optimizer (PSO) to find the optimal solution to the converters placement problem. The major advantage of this algorithm is that it does not need to build up a search tree or to create auxiliary graphs in finding the optimal solutions that have been done recently. In addition, the computed results show that only a few particles are needed to search the optimal solutions of the placement of wavelenght converters problem in an arbitrary mesh network. |
format |
Thesis |
qualification_level |
Master's degree |
author |
Teo , Choon Fang |
author_facet |
Teo , Choon Fang |
author_sort |
Teo , Choon Fang |
title |
Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization |
title_short |
Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization |
title_full |
Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization |
title_fullStr |
Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization |
title_full_unstemmed |
Wavelength Converters Placement In All Optical Networks Using Particle Swarm Optimization |
title_sort |
wavelength converters placement in all optical networks using particle swarm optimization |
granting_institution |
Multimedia University |
granting_department |
Research Library |
publishDate |
2005 |
_version_ |
1747829251850108928 |