Optimization

Optimization
654-0908/02
čeština Optimization
654-0908/01
čeština Optimization
654-0908/03
angličtina

Summary

Basic principles of optimization, choices between individual approaches and optimization methods in the management of technological processes, suggestions for optimal control systems, application of principles of artificial intelligence in practice are discussed.

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.

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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Language of instruction	čeština, čeština, angličtina
Code	654-0908
Abbreviation	OPT
Course title	Optimization
Coordinating department	Department of Industrial Systems Management
Course coordinator	doc. Ing. Milan Heger, CSc.