Daniel Wilfing

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An alteration of the job shop scheduling problem, concerning advertisement scheduling on digital advertisement spaces, is presented. Dispatching Rules (DR), Iterated Local Search (ILS) and Genetic Algorithms (GA) are discussed and applied to the problem space. The results show that ILS is the best performing heuristic, and surpasses the other heuristics(More)
An agent-based elevator simulation was implemented to test the validity of an advertisement scheduling system. The elevator simulation imitates the elevators and their advertisement system, thus testing the different schedules and sending the results back to the scheduler. To validate the results, certain data sets of the simulation application are compared(More)
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