Biologically Inspired Computing

Biologically Inspired Computing
460-4053/01
čeština

Anotace

The course will discuss a wider range of evolutionary computation. They
mentioned as historically classic techniques and modern algorithms. There will also be discussed at the introductory level, cellular automata, artificial life, neural networks, evolutionary hardware, DNA computing, etc. Great emphasis will be placed on the practical side of things - the ability to most discussed methods applied to practical examples. Students should have the comprehensive knowledge of the course of the above areas, including the possibility its use. The course includes laboratory exercises in which students will practice
how to program the selected algorithms and their application to solving practical
problems.

Povinná literatura

Back, T., Fogel, B., Michalewicz, Z.: Handbook of Evolutionary Computation, Institute of Physics, London
Davis L. 1996, Handbook of Genetic Algorithms, International Thomson Computer Press,
Koza J.R. 1998, Genetic Programming, MIT Press,
Price,K.,Storn,R.,etal.:DifferentialEvolution-APracticalApproachtoGlobalOptimization. Springer, Heidelberg

Doporučená literatura

Ilachinsky A., Cellular Automata: A Discrete Universe, World Scientific Publishing,
, 2001
Hilborn R.C.1994, Chaos and Nonlinear Dynamics, Oxford University Press, ISBN
0-19-508816-8, 1994
Gheorghe Paun (Author), Grzegorz Rozenberg (Author), Arto Salomaa, DNA
Computing: New Computing Paradigms, Springer,

zpět na vyhledávání

Language of instruction	čeština
Code	460-4053
Abbreviation	BIV
Course title	Biologically Inspired Computing
Coordinating department	Department of Computer Science
Course coordinator	prof. Ing. Ivan Zelinka, Ph.D.