Pregled bibliografske jedinice broj: 3562
An Implementation of Binary and Floating Point Chromosome Representation in Genetic Algorithm
An Implementation of Binary and Floating Point Chromosome Representation in Genetic Algorithm // Proceedings of the 18th International Conference on Information Technology Interfaces / Kalpić, Damir ; Hljuz Dobrić, Vesna (ur.).
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 1996. str. 417-422 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 3562 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
An Implementation of Binary and Floating Point Chromosome Representation in Genetic Algorithm
Autori
Golub, Marin
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 18th International Conference on Information Technology Interfaces
/ Kalpić, Damir ; Hljuz Dobrić, Vesna - Zagreb : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 1996, 417-422
Skup
ITI - Information Technology Interfaces
Mjesto i datum
Pula, Hrvatska, 18.06.1996. - 21.06.1996
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
genetic algorithm; chromosome representation; steady-state reproduction
Sažetak
This paper describes the implementation details and compares two methods for optimisation of multi-dimensional cost functions. The implemented genetic algorithm uses two chromosome representations: binary and floating point. In both representations the algorithm is based on steady-state reproduction, roulette-wheel bad individuals selection and has the same parameters.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
036014
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Marin Golub
(autor)