Necrotic Control of the Aesthetics of Evolved Art

Ashlock, Daniel; Greensmith, Julie

Abstract

This study uses necrosis, a technique from the domain of artificial immune systems, to control the evolution of apoptotic cellular automata. These automata generate complex images that require a very small amount of initial data. The genes that yield these images are embedded in an extremely complex adaptive landscape. The process of controlling the type of images located by applying necrosis is found to be a simple and efficient technique, in comparison to writing more complex fitness functions for the original evolutionary computation system. Two kinds of necrosis are tested, a soft shape based system and a crisp entropy based system. Both sorts of necrosis are found to be able to steer evolution effectively, with the shape based necrosis working well, and the entropy based necrosis having some problems when more extreme forms of necrosis driven filtration are employed. Possible generalizations to steering other evolutionary optimization tasks are outlined.

Citation

Ashlock, D., & Greensmith, J. (2020). Necrotic Control of the Aesthetics of Evolved Art. In 2020 IEEE Congress on Evolutionary Computation (CEC): conference proceedings (1-8). https://doi.org/10.1109/CEC48606.2020.9185654

• Conference Name: 2020 IEEE Congress on Evolutionary Computation (CEC)
• Conference Location: Glasgow, United Kingdom
• Start Date: Jul 19, 2020
• End Date: Jul 24, 2020
• Acceptance Date: Mar 20, 2020
• Online Publication Date: Sep 3, 2020
• Publication Date: Jul 19, 2020
• Deposit Date: Nov 10, 2020
• Publicly Available Date: Nov 10, 2020
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 1-8
• Book Title: 2020 IEEE Congress on Evolutionary Computation (CEC): conference proceedings
• ISBN: 978-1-7281-6930-9
• DOI: https://doi.org/10.1109/CEC48606.2020.9185654
• Public URL: https://nottingham-repository.worktribe.com/output/5032834
• Publisher URL: https://ieeexplore.ieee.org/abstract/document/9185654
• Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.