摘要: This paper presents the virtual gene genetic algorithm (vgGA) which is a generalization of traditional algorithms that use binary linear chromosomes. In vgGA, one point crossover and mutation are implemented as arithmetic functions over integers or reals chromosome represents. implementation allows to chromosomes alphabets any cardinality. Also, sites where fall can be generalized in vgGA values do not necessarily correspond positions between bits digits another base, thus implementing digits. Preliminary results indicate outperforms GA with on integer real valued problems underlying structure presented.