Traditional Techniques of Genetic Algorithms Applied to Floating-Point Chromosome Representations (CROSBI ID 463883)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Budin, Leo ; Golub, Marin ; Budin-Posavec, Andrea
engleski
Traditional Techniques of Genetic Algorithms Applied to Floating-Point Chromosome Representations
The choice of chromosome representation in genetic algorithms depends on the variables of the optimization problem being solved. If the variables are real-valued, the chromosomes can be represented as fixed-point integer values which enables the use of classical genetic operators defined for binary strings. Another possible chromosome representation is using floating-point numbers directly. In this case, genetic operators have to be defined additionaly. This paper presents a different approach: floating-point chromosome representation with traditional genetic operators. In order to achieve fine local tuning of the solutions, a mapping is defined which dynamically changes the operating scope of genetic operators.
genetic algorithms; floating-point chromosome representation; reducing operating scope; fine local tuning
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Podaci o prilogu
93-96-x.
1996.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 41st Annual Conference KoREMA
Perić, Nedjeljko
Zagreb: Hrvatsko društvo za komunikacije, računarstvo, elektroniku, mjerenja I automatiku (KoREMA)
Podaci o skupu
41'st Annual Conference KoREMA
predavanje
18.09.1996-20.09.1996
Opatija, Hrvatska