Pregled bibliografske jedinice broj: 3706
Using Genetic Algorithms for Adapting Approximation Functions
Using Genetic Algorithms for Adapting Approximation Functions // Proceedings of the 19th International Conference on Information Technology Interfaces / Kalpić, Damir ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 1997. str. 451-456 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 3706 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Using Genetic Algorithms for Adapting Approximation Functions
Autori
Golub, Marin ; Budin-Posavec, Andrea
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 19th International Conference on Information Technology Interfaces
/ Kalpić, Damir ; Hljuz Dobrić, Vesna - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 1997, 451-456
Skup
19th Int. Conf. on Information Technology Interfaces ITI 97 (sponsored by IMACS)
Mjesto i datum
Pula, Hrvatska, 17.06.1997. - 20.06.1997
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithm; adapting mechanism; approximation functions; time series
Sažetak
This paper describes a different approach: using the genetic algorithm not only for finding the optimum of the given cost function, but for adapting an existing solution of the present problem to the new, modified problem. The genetic algorithm was extended to deal with the dynamic approximation problem: the time series were changed during the optimization process.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
