- Tytuł:
- Correlational parameter tuning by genetic meta-algorithm
- Autorzy:
-
Kieś, P.
Kosiński, W. - Powiązania:
- https://bibliotekanauki.pl/articles/206578.pdf
- Data publikacji:
- 2000
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
adaptacja
algorytm genetyczny
optymalizacja
permutacja kodowa
strojenie parametrów
adaptation
code permutation
genetic algorithm
optimization
parameter tuning - Opis:
- The general problem of an off-line parameter tuning in the Binary Genetic Algorithm (BGA) is introduced. An example of such a tuning: a class of Correlational Tuning Methods (CTMs) is proposed. The main idea of a CTM is that it uses a mapping called measurement function as an assessment of the BGA's effciency. An example of a measurement function is described and two examples of CTMs: a modified "trials and errors" method and a modified genetic meta-algoritlm (metaBGA) are shown. Finally, experimental results with the metaBGA for four kinds of test fitness functions, where the code permutation is the tuned parameter, are presented.
- Źródło:
-
Control and Cybernetics; 2000, 29, 4; 1031-1042
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł