Podrobnosti studentského projektu

Téma:Portfolio optimization method with success prediction
Katedra:Katedra kybernetiky
Vedoucí:Ing. Petr Pošík Ph.D.
Vypsáno jako:DP
Popis: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.
Pokyny:1. Make a literature survey for similar approaches.
2. Design the algorithm to choose the most promising algorithm in the portfolio.
3. Perform a comparison of the portfolio approach against its constituent algorithms.
4. Perform a comparison of the portfolio approach against other state-of-the-art competitors.
Literatura:Will be provided by the thesis supervisor.
Realizace:Code in Python, MATLAB, or Java.
Vypsáno dne:10.05.2019
Za obsah zodpovídá: Petr Pošík