  In this work, an evolutionary art project is presented where images are
approximated by transparent, overlapping and geometric shapes of different
types, e.g., polygons, circles, lines. Genotypes representing features and
order of the geometric shapes are evolved with a fitness function that has the
corresponding pixels of an input image as a target goal. A
genotype-to-phenotype mapping is therefore applied to render images, as the
chosen genetic representation is indirect, i.e., genotypes do not include
pixels but a combination of shapes with their properties. Different
combinations of shapes, quantity of shapes, mutation types and populations are
tested. The goal of the work herein is twofold: (1) to approximate images as
precisely as possible with evolved indirect encodings, (2) to produce visually
appealing results and novel artistic styles.
