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Using Genetic Algorithms for Adapting Approximation Functions (CROSBI ID 463884)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Golub, Marin ; Budin-Posavec, Andrea 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-x

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

Povezanost rada

Računarstvo