Michal Przewozniczek

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The major objective of this paper is to deploy an effective evolutionary algorithm (EA) for the congestion problem in connection-oriented networks. The network flow is modeled as non-bifurcated multicommodity flow. The main novelty of this work is that the proposed evolutionary algorithm consists of two levels. The high level applies typical EA operators.(More)
Keywords: Genetic algorithm Large solution space size MuPPetS Gene patterns Linkage learning Optimization Elastic optical networks Routing and spectrum allocation Anycasting a b s t r a c t The fast social and economic development observed in the recent years brings up new challenging optimization problems. These problems are often very hard not only(More)