# Evolved Art with Transparent, Overlapping, and Geometric Shapes

## TL;DR

This paper presents an evolutionary art method that generates images using transparent, overlapping geometric shapes, optimizing their features to closely resemble target images while also producing aesthetically pleasing artistic styles.

## Contribution

It introduces an indirect genetic encoding for evolving complex geometric compositions, balancing image accuracy and artistic appeal, with extensive testing of shape combinations and mutation strategies.

## Key findings

- Effective approximation of images using evolved geometric shapes.
- Generation of visually appealing and novel artistic styles.
- Demonstrated impact of shape types and mutation strategies on results.

## Abstract

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.