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Unconvencional Optimization Methods

Anotace

Course deals with stochastic algorithms nad their modifications including the evolutionaly principles.

Povinná literatura

AFFENZELLER, M.; WAGNER, S.; WINKLER, S.; BEHAM, A.: Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications. London: Chapman and Hall / CRC, 2018. ISBN 978-11-381-1427-2 
SIMON, D.: Evolutionary Optimization Algorithms. New York: John Wiley&Sons, 2013. ISBN 978-04-709-3741-9
Články publikované ve vědeckých časopisech (aktuální seznam publikací obdrží doktorand před zahájením výuky).

Doporučená literatura

HASSOUN, M., H.: Fundamentals of Artifical Neural Networks. Bradford Book, 2003. ISBN 978-02-625-1467-5 
IBA, H.; NOMAN, N.: New Frontier in Evolutionary Algorithms: Theory and Applications. London: Imperial College Pr, 2011. ISBN 978-18-481-6681-3 
MAN, K., F.; TANG, K., S., KWONG, S.: Genetic Algorithms - Concepts and Designs. London: Springer, 1999. ISBN 978-1-4471-0577-0 


Language of instruction čeština, angličtina
Code 342-0958
Abbreviation NMO
Course title Unconvencional Optimization Methods
Coordinating department Institute of Transport
Course coordinator doc. Ing. Dušan Teichmann, Ph.D.