  Evolutionary algorithms have been used in many ways to generate digital art.
We study how evolutionary processes are used for evolutionary art and present a
new approach to the transition of images. Our main idea is to define
evolutionary processes for digital image transition, combining different
variants of mutation and evolutionary mechanisms. We introduce box and strip
mutation operators which are specifically designed for image transition. Our
experimental results show that the process of an evolutionary algorithm in
combination with these mutation operators can be used as a valuable way to
produce unique generative art.
