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Last update: Mgr. Roman Neruda, CSc. (02.05.2006)
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Last update: RNDr. Jan Hric (07.06.2019)
TBA |
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Last update: RNDr. Jan Hric (07.06.2019)
Oral exam |
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Last update: Mgr. Martin Pilát, Ph.D. (04.11.2019)
Mitchell, M.: Introduction to genetic algorithms. MIT Press, 1996.
Michalewicz, Z: Genetic algorithms + data structures = evolutionary programs. Springer Verlag, 1994.
Koza, J.: Genetic programming (I,II,III) MIT Press, 1992, 1994, 1996.
Chambers, L. (ed.): Practical handbook of genetic algorithms, CRC Press, 1995. |
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Last update: Mgr. Roman Neruda, CSc. (02.05.2006)
Evolutionary programming, finite automata, meta-evolution.
Evolution Strategie, cooperation of individuals, 1+1, m+1 algorithms.
Genetic programming, LISP tree reprezentations, modularity.
Open-ended evolution, adaptive behavior, artificial life simulations, emergence (Tierra, Avida, Framsticks)
Numerical optimization, binary vs. float reprezentations, constraints handling.
Combinatorial problems, knapsack, travelling salesman, representations, operators.
Neural networks evolution, internal representation, topology, weights learning, hybrid algorithms.
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