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Airport - Time and resource constrained project sheduling
Vandas, Marek ; Petříčková, Zuzana (advisor) ; Pangrác, Ondřej (referee)
This thesis identifies constraints for safe ground airport operations. These operations consist of runway assignment, taxi operations planning and gate scheduling. The aim of this thesis is to show how this problem can be formulated as constraint satisfaction problem and then solved as a scheduling problem. Based on this model, an application that ilustrates these concepts is designed and implemented. This application enables a visualisation of results. An extendable constraint solver was implemented for the purpose of this application. This solver can be used to solve problems from other domains as well and also enables easy change of search strategy.
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Airport - Time and resource constrained project sheduling
Vandas, Marek ; Petříčková, Zuzana (advisor) ; Pangrác, Ondřej (referee)
This thesis identifies constraints for safe ground airport operations. These operations consist of runway assignment, taxi operations planning and gate scheduling. The aim of this thesis is to show how this problem can be formulated as constraint satisfaction problem and then solved as a scheduling problem. Based on this model, an application that ilustrates these concepts is designed and implemented. This application enables a visualisation of results. An extendable constraint solver was implemented for the purpose of this application. This solver can be used to solve problems from other domains as well and also enables easy change of search strategy.
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Online competitive algorithms for maximizing weighzed throughput of unit jobs. ITI Series 2003-172
Bartal, Y. ; Chin, F. Y. L. ; Chrobak, M. ; Fung, S. P. Y. ; Jawor, W. ; Lavi, R. ; Sgall, Jiří ; Tichý, Tomáš
We study an online buffer management problem for networks supporting Quality-of-Service (QoS) applications, equivalently as an online scheduling problem forunit-length jobs, where each job is specified by its release time, deadline, and a nonnegative weight (QoS value). The goal is to maximize the emph{weighted throughput}, that is the total weight of scheduled jobs.
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