Applications of bio-inspired computational intelligence in optical networks

Joaquim F. Martins Filho; Carmelo J. A. Bastos Filho; Daniel A. R. Chaves

doi:10.1117/12.2008321

5 February 2013 Applications of bio-inspired computational intelligence in optical networks

Joaquim F. Martins Filho, Carmelo J. A. Bastos Filho, Daniel A. R. Chaves

Proceedings Volume 8646, Optical Metro Networks and Short-Haul Systems V; 86460D (2013) https://doi.org/10.1117/12.2008321
Event: SPIE OPTO, 2013, San Francisco, California, United States

Abstract

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 presents some examples of the use of evolutionary computation, swarm intelligence and neurocomputing to solve these optical network problems.

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Joaquim F. Martins Filho, Carmelo J. A. Bastos Filho, and Daniel A. R. Chaves "Applications of bio-inspired computational intelligence in optical networks", Proc. SPIE 8646, Optical Metro Networks and Short-Haul Systems V, 86460D (5 February 2013); https://doi.org/10.1117/12.2008321

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KEYWORDS

Optical networks

Evolutionary algorithms

Optimization (mathematics)

Network architectures

Biomimetics

Translucency

Genetic algorithms

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