Abstract
It is generally important for the high performance of search in GA to use the coding which has similar neighboring relationship between in genotype space and in evaluation space, because GA searches the neighborhood of the genes with high evaluation values. However, there is no criterion for the similarity of relationship between them, then each coding is done by trial and error. This paper proposes the visualization method to grasp the relationship between genes and their evaluation values. This paper applies the proposed method to a benchmark function of multi-objective optimization problem and shows that it enables us to grasp the similarity of genes between in the genotype space and evaluation space. It also shows that the visualization result can support us to feed back into genetic operations for more efficient search.
