Dynamic multi-path RWA algorithm for WDM based optical networks

This paper presents a comparative study of multiobjective algorithms to solve the routing and wavelength assignment problem in optical networks. The study evaluates five computational intelligence algorithms, namely: the Firefly Algorithm, the Differential Evolutionary Algorithm, the Simulated Annealing Algorithm and two versions of the Particle Swarm Optimization algorithm. Each algorithm is assessed based on the performance provided by two different network topologies under different data traffic loads and with a different number of wavelengths available in the network. The impact of implementing wavelength conversion processes is also taken into account in this study. Simulated results show that, in general, the evaluated algorithms appropriately solve the problem in small-sized networks in which a similar performance was found. However, key differences were found when the size of the network is significant. This means that more suitable algorithms optimize the search space and the fall into local minimums is avoided.

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Dynamic multi-path RWA algorithm for WDM based optical networks

Cited by 3 publications

References 7 publications

A Genetic Algorithm Approach for Static Routing and Wavelength Assignment in All-Optical WDM Networks

A Genetic Algorithm Approach for Static Routing and Wavelength Assignment in All-Optical WDM Networks

Energy — Efficient resource allocation in WDM networks

A comparative study of multiobjective computational intelligence algorithms to find the solution to the RWA problem in WDM networks

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