Ukončeno v akademickém roce 2022/2023

Optimization

Type of study	Doctoral
Language of instruction	Czech
Code	638-0908/02
Abbreviation	OPT
Course title	Optimization
Credits	10
Coordinating department	Department of Automation and Computing in Industry
Course coordinator	doc. Ing. Milan Heger, CSc.

Osnova předmětu

• Static optimization - analytical and numerical methods for univariate and multivariate optimization.
• Using linear programming to optimize control technology and manufacturing processes.
• Dynamic optimization - dynamic programming, principle Pontrjagin minimum and variational calculus in problems of optimal control.
• Optimization using genetic and evolutionary algorithms.
• Possibilities of using neural networks in the optimization of technological processes.

Povinná literatura

KIRK, D. E. Optimal control theory: an introduction. Dover ed. Mineola: Dover Publications, 2004. ISBN 0-486-43484-2.
RUSSELL, S. J. a P. NORVIG. Artificial intelligence: a modern approach. 3rd ed., Pearson new international ed. Harlow: Pearson, 2014. ISBN 978-1-292-02420-2.
NORGAARD, M. Neural networks for modelling and control of dynamic systems: a practitioner's handbook. London: Springer, 2000. ISBN 1-85233-227-1.

Advised literature

WINTER, G. and ed. Genetic algorithms in engineering and computer science. Chichester: Wiley, 1995. ISBN 0-471-95859-X.
BARNES B. a G. R. FULFORD. Mathematical Modelling with Case Studies: Using Maple and Matlab. Chapman and Hall/CRC, 2015.
BERTSEKAS, D. P. Nonlinear programming. 2nd ed. Belmont: Athena Scientific, 1999. ISBN 1-886529-00-0.

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