We propose a methodology for representing artificial creatures like 3D flowers. Directed graph and Lindenmayer system (L-system) are commonly involved in AI-based creativity research for encoding ceatures. It is difficult for L-systems to directly feed back real morphologies structurally from their genotypes, since they are a grammatical rewriting system and also use parameters such as loops, procedure calls, variables, and primitive parameters for representing their genotypes. In this paper flower genotypes are manifested by a knowledge-based structured directed graph (SDG) and phenotypes are represented a flower morphology resulting from the derivation and graphical representation of the genotypes. Evolution is simulated using an interactive genetic algorithm (IGA), where a SDG is useful for genotypic representation of creatures and IGA uses human evaluation for the fitness function. We have applied the creation of 3D flowers using the knowledge-based SDG and IGA. Experimental results show that realistic flower morphologies can be created by the proposed method. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Min, H. J., & Cho, S. B. (2004). Creative 3D designs using interactive genetic algorithm with structured directed graph. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3157, pp. 391–400). Springer Verlag. https://doi.org/10.1007/978-3-540-28633-2_42
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