- Tytuł:
- Hybrid search for optimum in a small implicitly defined region
- Autorzy:
- Zilinskas, A.
- Powiązania:
- https://bibliotekanauki.pl/articles/970451.pdf
- Data publikacji:
- 2004
- Wydawca:
- Polska Akademia Nauk. Instytut Badań Systemowych PAN
- Tematy:
-
wyszukiwanie losowe
optymalizacja ewolucyjna
więzy niejawne
projekt optymalny
random search
evolutionary optimization
implicit constrains
optimal design - Opis:
- We consider optimization problems with a small implicitly denned feasible region, and with an objective function corrupted by irregularities, e.g. small noise added to the function values. Known mathematical programming methods with high convergence rate can not, lie applied to such problems. A hybrid technique is developed combining random search for the feasible region of a considered problem, and evolutionary search for the minimum over the found region. The solution results of two test problems and of a difficult real world problem are presented.
- Źródło:
-
Control and Cybernetics; 2004, 33, 4; 599-609
0324-8569 - Pojawia się w:
- Control and Cybernetics
- Dostawca treści:
- Biblioteka Nauki
Artykuł