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Last update: Mgr. Roman Neruda, CSc. (02.05.2006)
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Last update: T_KTI (26.05.2008)
Naučit vybrané pokročilé části z teorie evolučních algoritmů a jejich aplikace. |
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Last update: Mgr. Roman Neruda, CSc. (02.05.2006)
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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