@misc{GroetschelHillerTuchscherer, author = {Gr{\"o}tschel, Martin and Hiller, Benjamin and Tuchscherer, Andreas}, title = {Combinatorial Online Optimization: Elevators \& Yellow Angels}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-10360}, number = {07-36}, abstract = {In \emph{classical optimization} it is assumed that full information about the problem to be solved is given. This, in particular, includes that all data are at hand. The real world may not be so nice'' to optimizers. Some problem constraints may not be known, the data may be corrupted, or some data may not be available at the moments when decisions have to be made. The last issue is the subject of \emph{online optimization} which will be addressed here. We explain some theory that has been developed to cope with such situations and provide examples from practice where unavailable information is not the result of bad data handling but an inevitable phenomenon.}, language = {en} } @misc{HillerKlugTuchscherer, author = {Hiller, Benjamin and Klug, Torsten and Tuchscherer, Andreas}, title = {Improving the performance of elevator systems using exact reoptimization algorithms}, issn = {1438-0064}, url = {http://nbn-resolving.de/urn:nbn:de:0297-zib-11155}, number = {09-05}, abstract = {This extended abstract is about algorithms for controlling elevator systems employing destination hall calls, i.e. the passenger provides his destination floor when calling an elevator. We present the first exact algorithm for controlling a group of elevators and report on simulation results indicating that destination hall call systems outperform conventional systems.}, language = {en} }