Unconventional Optimizing Methods

Unconventional Optimizing Methods
342-0630/01
čeština Unconventional Optimizing Methods
342-0630/02
čeština

Summary

The course focuses on teaching non-conventional methods for solving optimization problems, which are generally accepted as a substitute for methods that result in optimal solutions. The solution of optimization problems are used mainly in the course of Petri nets and artificial intelligence methods (genetic algorithms, neural networks, swarm intelligence). Brief mention will be given to the principles of advanced heuristics (metaheuristických) methods (Simulated annealing, tabu search).

Literature

MARKL, J.. Petri nets. Ostrava: VSB-TU Ostrava. http://www.cs.vsb.cz/markl/pn/index.html
DOSTÁL, P.. Advanced methods of analysis and modeling of business and public administration. Brno: Academic Publishing House CERM, 2008. 340 p. ISBN 978-80-7204-605-8
JANÁČEK, J.. Optimization of transport networks. Zilina: University of Žilina, 2006. 2nd edition, 248 p.

Doporučená literatura

MARČEK, D.; MARČEK, M.. Neural networks and their applications. Zilina: University of Žilina, 2006. 223 p.
ZELINKA, I.; OPLATKOVÁ, Z.; ŠEDA, M.; OŠMERA, P.; VČELAŘ, F.. Evolutionary computing - principles and applications. Praha: BEN - technical literature, 2008. 534 p. ISBN 978-80-7300-218-3

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Language of instruction	čeština, čeština
Code	342-0630
Abbreviation	NMOP
Course title	Unconventional Optimizing Methods
Coordinating department	Institute of Transport
Course coordinator	doc. Ing. Dušan Teichmann, Ph.D.