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Last update: RNDr. Jan Hric (03.05.2018)
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Last update: RNDr. Jiří Fink, Ph.D. (03.05.2018)
The aim of the course is teach students to use methods of artificial intelligence and mathematical optimization in practical problems. Students should learn to:
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Last update: RNDr. Jiří Fink, Ph.D. (01.05.2018)
An independent or a group project fulfilling goals of the course. |
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Last update: RNDr. Jiří Fink, Ph.D. (01.05.2018)
Beale R. and Jackson T.: Neural Computing: An Introduction, IOP Publishing, Bristol and Philadelphia, 1990
Mitchell, M.: Introduction to genetic algorithms. MIT Press, 1996.
W. Saad, Z. Han, H. V. Poor and T. Basar, "Game-Theoretic Methods for the Smart Grid: An Overview of Microgrid Systems, Demand-Side Management, and Smart Grid Communications," in IEEE Signal Processing Magazine, vol. 29, no. 5, pp. 86-105, Sept. 2012.
K. Dvijotham, P. Van Hentenryck, M. Chertkov, M. Vuffray, S. Misra, Graphical Models for Optimal Power Flow, Proceedings of 22nd International Conference on Principles and Practice of Constraint Programming (CP 2016). |
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Last update: RNDr. Jiří Fink, Ph.D. (03.05.2018)
An independent or a group project which uses artificial intelligence or mathematical optimization techniques to solve practical problems. Examples of fields for studied projects are:
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