Detail of the student project

Topic:Portfolio optimization method with success prediction
Department:Katedra kybernetiky
Supervisor:Ing. Petr Pošík, Ph.D.
Announce as:Diplomová práce, Semestrální projekt
Description:Design a composite optimization algorithm (portfolio algorithm) which automatically chooses the most promising optimization algorithm in the portfolio to run in the next step. Perform a comparison against its constituent algorithms and against other chosen competitors. The comparison shall reveal the differences during the whole course of optimization, not only after the optimization is finished. The COCO framework is a suitable candidate.
Bibliography:Will be provided by the thesis supervisor.
Responsible person: Petr Pošík