Chavoya Arturo, Duthen Yves
Universidad de Guadalajara, Zapopan, Jal, Mexico.
Biosystems. 2008 Oct-Nov;94(1-2):95-101. doi: 10.1016/j.biosystems.2008.05.015. Epub 2008 Jun 20.
Cell pattern generation has a fundamental role in both artificial and natural development. This paper presents results from a model in which a genetic algorithm (GA) was used to evolve an artificial regulatory network (ARN) to produce predefined 2D cell patterns through the selective activation and inhibition of genes. The ARN used in this work is an extension of a model previously used to create simple geometrical patterns. The GA worked by evolving the gene regulatory network that was used to control cell reproduction, which took place in a testbed based on cellular automata (CA). After the final chromosomes were produced, a single cell in the middle of the CA lattice was allowed to replicate controlled by the ARN found by the GA, until the desired cell pattern was formed. The model was applied to the problem of generating a French flag pattern.
细胞模式生成在人工和自然发育中都起着基础性作用。本文展示了一个模型的结果，在该模型中，遗传算法（GA）被用于进化人工调控网络（ARN），以通过基因的选择性激活和抑制来产生预定义的二维细胞模式。本研究中使用的ARN是先前用于创建简单几何图案的模型的扩展。GA通过进化用于控制细胞繁殖的基因调控网络来工作，细胞繁殖发生在基于细胞自动机（CA）的测试平台中。在产生最终的染色体后，CA晶格中间的单个细胞在GA找到的ARN控制下进行复制，直到形成所需的细胞模式。该模型被应用于生成法国国旗图案的问题。
