Mar 23, 2019   5:23 a.m. Adrián
Academic information system

Summary of topics offered - Faculty of Electrical Engineering and Information Technology


Basic information

Type of work: Diploma thesis
Topic: Hladanie optimálnych parametrov genetických algoritmov
Title of topic in English: Optimal parameter settings of genetic algorithms
State of topic: approved (prof. Dr. Ing. Miloš Oravec - Study programme supervisor)
Thesis supervisor: Ing. Eugen Antal, PhD.
Faculty: Faculty of Electrical Engineering and Information Technology
Supervising department: Institute of Computer Science and Mathematics - FEEIT
Max. no. of students: --
Academic year:2018/2019
Proposed by: Ing. Eugen Antal, PhD.
Summary: Hladanie optimálnych parametrov genetických algoritmov. Nadväzuje sa na existujúcu tému: Lúštenie historických šifier na GRIDe.



Limitations of the topic

To sign up for a topic it is necessary to fulfil one of the following restrictions

Limit to study programme
The table shows limitations of study programme, field, track the student has to be enrolled in to be able to register for a given topic.

ProgrammeTrackTrack
I-API Applied InformaticsI-API-BIS Security of Information Technologies-- not entered --
I-API Applied InformaticsI-API-MSUS Modeling and Simulation of Event Systems-- not entered --

Limit to courses
The table shows limitations of a course the student has to complete to be able to register for a given topic.

DepartmentCourse title
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