A model to allow remote and distributed simulation of optical networks using XML

Bastos-Filho, Carmelo J. A.; Santos, Adson M.; Chaves, Daniel A. R.; Martins-Filho, Joaquim F.

doi:10.1109/imoc.2011.6169392

Cited by 2 publications

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“…al have investigated the use of parallel computing in Graphic Processing Units with CUDA 32 for remote and distributed simulation of optical networks. 36 A third promising approach is the use of hardware implementations. We believe that Field Programmable Gate Array 37 can be successfully used to implement these algorithms.…”

Section: Discussionmentioning

confidence: 99%

Applications of bio-inspired computational intelligence in optical networks

2012

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Computational intelligence techniques have appeared as efficient alternatives to solve complex problems, such as in optimization of multi-objective problems. These techniques have been used to solve hard problems in optical networks, such as the impairment-aware routing and wavelength assignment problem, the design of the physical and the logical topology, and the placement of high cost devices along the network where necessary, such as regenerators and wavelength converters. This paper reviews some examples of the use of evolutionary computation, swarm intelligence and neurocomputing to solve these optical network problems.

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Section: Discussionmentioning

confidence: 99%

Applications of bio-inspired computational intelligence in optical networks

2012

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Applications of Computational Intelligence to Impairment-Aware Routing and Wavelength Assignment in Optical Networks

Martins-Filho

Bastos-Filho

Chaves

et al.

Intelligent Systems for Optical Networks Design

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Computational intelligence techniques have been used to solve hard problems in optical networks, such as the routing and wavelength assignment problem, the design of the physical and the logical topology of these networks, and the placement of some high cost devices along the network when it is necessary, such as regenerators and wavelength converters. In this chapter, the authors concentrate on the application of computational intelligence to solve the impairment-aware routing and wavelength assignment problem. They present a brief survey on this topic and a detailed description and results for two applications of computational intelligence, one to solve the wavelength assignment problem with an evolutionary strategy approach and the other to tackle the routing problem using ant colony optimization.

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A model to allow remote and distributed simulation of optical networks using XML

Cited by 2 publications

References 5 publications

Applications of bio-inspired computational intelligence in optical networks

Applications of bio-inspired computational intelligence in optical networks

Applications of Computational Intelligence to Impairment-Aware Routing and Wavelength Assignment in Optical Networks

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