Course unit code:

447M7_4D

Course unit title:

Modern Optimitzation Methods

Mode of delivery, planned learning activities and teaching methods:

lecture – 2 hours weekly (on-site method)

Credits allocated:

3

Recommended semester:

Chemická fyzika – (full-time, attendance method), 0. semester
Chemické inžinierstvo – (full-time, attendance method), 0. semester
Fyzikálna chémia – (full-time, attendance method), 0. semester
Riadenie procesov – (full-time, attendance method), 0. semester
Teoretická a počítačová chémia – (full-time, attendance method), 0. semester
Organická technológia a technológia palív – (full-time, attendance method), 0. semester

Level of study:

3.

Prerequisites for registration:

none

Assesment methods:

Students should work out their homework and to obtain the test.

Learning outcomes of the course unit:

To familiarize PhD students of chemistry with basic optimization methods (in particular gradient and stochastic methods).

Course contents:

1.	Basic definitions and theorems of extremes of functions of 1-variable and n-variable. (allowance 3/0)
2.	Optimization methods for 1-variable functions (allowance 3/0)
3.	Optimization methods for n-variable functions (allowance 3/0)
4.	Constrained optimization methods (allowance 3/0)
5.	Simplex method and its modifications (allowance 3/0)
6.	Stochastic optimization methods (allowance 3/0)
7.	Evolutionary algorithms (allowance 3/0)
8.	Neural networks (allowance 3/0)

Recommended or required reading:

Basic:

• KVASNIČKA, V. – POSPÍCHAL, J. – TIŇO, P. Evolučné algoritmy. Bratislava : STU v Bratislave, 2000. 215 s. ISBN 80-227-1377-5.
• CORNE, D. – DORIGO, M. – GLOVER, F. New Ideas in Optimization. London : The McGraw-Hill Companies, 1999. 493 s. ISBN 0-07-709506-5.
• LUKŠAN, L. Metody s proměnnou metrikou: Nepodmíněná minimalizace. Praha : Academia, 1990. 347 s. ISBN 80-200-0211-1.

Language of instruction:

Slovak, English

Assessed students in total:

14

A 100 %

B 0 %

C 0 %

D 0 %

E 0 %

FX 0 %

Name of lecturer(s):

P. Viceník (2023/2024 – Winter)
P. Viceník (2020/2021 – Winter)
P. Viceník (2019/2020 – Winter)
P. Viceník (2018/2019 – Winter)

Course supervisor:

Mgr. Peter Viceník, PhD.

Last modification:

5. 10. 2019

AIS: 2019/2020   2000/2001   2000/2001