An Implementation of Binary and Floating Point Chromosome Representation in Genetic Algorithm (CROSBI ID 463794)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Golub, Marin
engleski
An Implementation of Binary and Floating Point Chromosome Representation in Genetic Algorithm
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.
genetic algorithm; chromosome representation; steady-state reproduction
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Podaci o prilogu
417-422-x.
1996.
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objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 18th International Conference on Information Technology Interfaces
Kalpić, Damir ; Hljuz Dobrić, Vesna
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce)
Podaci o skupu
ITI - Information Technology Interfaces
predavanje
18.06.1996-21.06.1996
Pula, Hrvatska