Using a set of elite individuals in a genetic algorithm (CROSBI ID 507776)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Mušnjak, Marko ; Golub, Marin
engleski
Using a set of elite individuals in a genetic algorithm
In this paper, a new method of selection of individuals for crossover is presented and tested. Its main idea is that one of the selected individuals is always a member of an "elite" group, consisting of n best individuals currently in the population. This method does not slow down the execution of the algorithm and shows a marked improvement in search results.
genetic algorithm; selection
nije evidentirano
nije evidentirano
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Podaci o prilogu
531-535-x.
2004.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 26th International Conference on Information Technology Interfaces ITI2004
Hljuz Dobrić, Vesna
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce)
Podaci o skupu
26th International Conference on Information Technology Interfaces (ITI 2004)
predavanje
07.06.2004-10.06.2004
Cavtat, Hrvatska
