Using Genetic Algorithms for Adapting Approximation Functions (CROSBI ID 463884)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Golub, Marin ; Budin-Posavec, Andrea
engleski
Using Genetic Algorithms for Adapting Approximation Functions
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.
genetic algorithm; adapting mechanism; approximation functions; time series
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Podaci o prilogu
451-456-x.
1997.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 19th International Conference on Information Technology Interfaces
Kalpić, Damir ; Hljuz Dobrić, Vesna
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce)
Podaci o skupu
19th Int. Conf. on Information Technology Interfaces ITI 97 (sponsored by IMACS)
predavanje
17.06.1997-20.06.1997
Pula, Hrvatska