Jörn Schönberger

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This article is about the enhancement of myopic online decision approaches for considering longer term planning goals in the management of logistic processes in a dynamically varying environment. By means of a demand peak we simulate a severe disruption of the environment of a transport system and show that a pure myopic scheduling strategy is not able to(More)
The paper investigates an online version of the vehicle routing problem with time windows, in which additionally arriving requests cause the revision of so far followed routes and schedules. An extended online optimization framework is proposed, which automatically adapts to problem variations and enables the explicit consideration of up-to-date knowledge(More)
In this research we consider the problem of scheduling rounds of a non-professional table-tennis league. We formalize the problem in terms of a timetabling optimization problem. Then we solve this highly constrained problem with a permutation based Genetic Algorithm for which feasibility preserving operators are defined. Since coding and operators cannot(More)