Dusan Hrabec

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The purpose of the paper is to present a step-by-step development of the transportation optimization model with random parameters, network design variables and with pricing. The well-known deterministic linear transportation model with network design 0-1 variables is shortly discussed and it is extended in two separate ways. Firstly, randomness is modeled(More)
The purpose of the paper is to present a hybrid algorithm to solve a transportation optimization model with random demand parameters and network design variables. At first, the classical deterministic linear transportation model with network design 0-1 variables is introduced. Then, randomness is considered for demand parameters and modeled by here-and-now(More)
In this paper a new multi-chaotic variant of differential evolution is used to solve a model of vehicle routing problem with profits. The main goal was to achieve exceptional reliability (success rate) and low time demands in comparison with deterministic solvers. The method will be applied in the future on solving realworld transportation network problems.
The main purpose of the paper is to present a specific case of dynamic pricing for the newsvendor problem. Firstly, the short overview of a newsvendor problem is given together with references to the selected literature and remarks to its applicability. Then, the dynamic pricing principles are discussed together with references to decision dependent(More)
The purpose of the paper is to present existing and discuss modified optimization models and solution techniques which are suitable for engineering decision-making problems containing random elements with emphasis on two decision stages. The developed approach is called two-stage stochastic programming and the paper links motivation, applicability,(More)
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