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)
this paper, we define a new practical technology driven Resource Constrained Scheduling Problem (t-RCPSP). We propose three approaches, applying constructive heuristics to tackle effectively the practical application of RCPSP. In the RCPSP formulation, the constraints are defined to design the tasks in the spaces constructed by non-and renewable resources,(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)