抄録
It is generally important for the high performance of search in GA to use the coding which has similar relationship between neighboring relationships in genotype space and those 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 problem and shows that it enables us to grasp the similarities of genes between in the genotype space and evaluation space. Then it shows that the visualization result can give us some ideas of the feedback into genetic operations for more efficient search.
