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Evolutionary Art with Cartesian Genetic Programming
| Citations: | 3 - 0 self |
BibTeX
@TECHREPORT{Ashmore_evolutionaryart,
author = {Laurence Ashmore and Julian Francis Miller},
title = {Evolutionary Art with Cartesian Genetic Programming},
institution = {},
year = {}
}
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Abstract
Abstract. Techniques from the field of Evolutionary Computation are used to evolve a wide variety of aesthetically pleasing images using Cartesian Genetic Programming (CGP). The challenges that arise from employing a fitness func-tion based on aesthetics, and the benefits that CGP can provide, are investigated and discussed. A significant piece of software was developed that places a fo-cus on providing the user with efficient control over the evolutionary process. Several ‘non-user ’ fitness functions that assess the phenotypes and genotypes of the chromosomes were also employed with varying success. To improve these results, methods of maintaining diversity within the population that take advantage of the neutrality of CGP are implemented and tested. 1
