Evolving complex and diverse object images

We describe a genetic programming-based approach to evolving aesthetically interesting images, based on two main ideas: exploring a space of programs that operate on structured elements (geometric shapes) and introducing a fully-automated, neural network-based evaluation procedure, without the need for human intervention.