Using Genetic Algorithms for Adapting Approximation Functions

Zbornik radova

Autori:	Golub, Marin; Budin-Posavec, Andrea
Naslov:	Using Genetic Algorithms for Adapting Approximation Functions
Izvornik:	Proceedings of the 19th International Conference on Information Technology Interfaces / Kalpić, Damir ; Hljuz Dobrić, Vesna (ur.). - Zagreb : University Computing Centre, University of Zagreb , 1997. 451-456.
Skup:	19th Int. Conf. on Information Technology Interfaces ITI 97 (sponsored by IMACS)
Mjesto i datum:	Pula, Hrvatska, 17-20.06.1997.
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.
Vrsta sudjelovanja:	Predavanje
Vrsta prezentacije u zborniku:	Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije:	Međunarodna recenzija
Projekt / tema:	036014, 036023
Izvorni jezik:	ENG
Kategorija:	Znanstveni
Znanstvena područja:	Računarstvo


	Sadržaj objavljen na bib.irb.hr (osim ako je drugačaije navedeno) podložan je pravilima Creative Commons licence
	Copyright © 1997-2015. IRB. Pripremili: Ivo Batistić i Jadranka Stojanovski. Dizajn: Studio8. Software: postgresql