Terminated in academic year 2015/2016

Optimization

Type of study	Doctoral
Language of instruction	Czech
Code	638-0908/03
Abbreviation	OPT
Course title	Optimization
Credits	10
Coordinating department	Department of Automation and Computing in Industry
Course coordinator	doc. Ing. Milan Heger, CSc.

Subject syllabus

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

Literature

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.

Doporučená literatura

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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