Detail of the student project

Topic:Adaptive Optimization
Department:Katedra kybernetiky
Supervisor:prof. Ing. Filip Železný Ph.D.
Announce as:DP,BP,PMI,SOP
Examiner:Jiří Kléma
Description:Develop a prototype application of an algorithm that learns how to solve a certain kind of a combinatorial problem from examples of small instances and solutions of that problem, and then applies this learned knowledge for solving larger instances of the problem.

(Scary as it may seem, this assignment's complexity may be reduced quite arbitrarily).
Instruction:The extent of the deliverable will depend on the particular project category (diploma thesis / Bc. / semestral project / ...). Agreement will be settled with the supervisor.
Bibliography:Will be provided by the supervisor.
Realization form:Code in a language of student's choice + report
Responsible person: Petr Pošík