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Improving the perfomance of elevator systems using exact reoptimization algorithms Hiller, Benjamin Torsten Klug Andreas Tuchscherer Elevator control reoptimization online optimization The task of an elevator control is to schedule the elevators of a group such that small average and maximal waiting and travel times for the passengers are obtained. We present a novel exact reoptimization algorithm for this problem. A reoptimization algorithm computes a new optimal schedule for the elevator group each time a new passenger arrives. Our algorithm uses column generation techniques and is, to the best of our knowledge, the first exact reoptimization algorithm for a group of elevators. We use our algorithm to compare the potential performance that can be achieved for conventional (ie up/down buttons) and two variants of destination call systems, where a passenger enters his destination floor when calling an elevator. This research is part of an ongoing project with our industry partner Kollmorgen Steuerungstechnik. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Benjamin Hiller and Torsten Klug and Andreas Tuchscherer 2009 Is Part Of Dagstuhl Seminar Proceedings, Volume 9261, Models and Algorithms for Optimization in Logistics (2009) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.09261.11 urn:nbn:de:0030-drops-21799 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09261.11 eng https://creativecommons.org/licenses/by/4.0/legalcode