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C. FERREIRA Complex Systems, 13 (2): 87-129, 2001

Gene Expression Programming: A New Adaptive Algorithm for Solving Problems

Information Decoding: Translation
In GEP, from the simplest individual to the most complex, the expression of genetic information starts with translation, the transfer of information from a gene into an ET. This process has already been presented in section 3.2 where decoding of GEP genes is shown. In contrast to nature, the expression of the genetic information in GEP is very simple. Worth emphasizing is the fact that in GEP there is no need for transcription: the message in the gene is directly translated into an ET.

GEP chromosomes are composed of one or more ORFs, and obviously the encoded individuals have different degrees of complexity. The simplest individuals are encoded in a single gene, and the “organism” is, in this case, the product of a single gene – an ET. In other cases, the organism is a multi-subunit ET, in which the different sub-ETs are linked together by a particular function. In other cases, the organism emerges from the spatial organization of different sub-ETs (e.g., in planning and problems with multiple outputs). And, in yet other cases, the organism emerges from the interactions of conventional sub-ETs with different domains (e.g., neural networks). However, in all cases, the whole organism is encoded in a linear genome.

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