Correlational parameter tuning by genetic meta-algorithm

• Autorzy: Kieś P. , Kosiński W.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

adaptation; code permutation; genetic algorithm; optimization; parameter tuning

PL

adaptacja; algorytm genetyczny; optymalizacja; permutacja kodowa; strojenie parametrów

• Wydawca: Systems Research Institute, Polish Academy of Sciences
• Czasopismo: Control and Cybernetics
• Rocznik: 2000
• Tom: Vol. 29, no 4
• Strony: 1031--1042
• Opis fizyczny: Bibliogr. 24 poz.,

Twórcy

autor

Kieś P.

autor

Kosiński W.

• Institute of Fundamental Technological Research, Polish Academy of Sciences (IPPT PAN), 21 Swiętokrzyska Str., 00-049 Warsaw, Poland,