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|Title:||The Evolutionary Process of Image Transition in Conjunction with Box and Strip Mutation|
|Citation:||Lecture Notes in Artificial Intelligence, 2016 / Hirose, A., Ozawa, S., Doya, K., Ikeda, K., Lee, M., Liu, D. (ed./s), vol.9949 LNCS, pp.261-268|
|Publisher:||SPRINGER INTERNATIONAL PUBLISHING AG|
|Series/Report no.:||Lecture Notes in Computer Science|
|Conference Name:||23rd International Conference on Neural Information Processing (ICONIP) (16 Oct 2016 - 21 Oct 2016 : Kyoto, JAPAN)|
|Abstract:||Evolutionary algorithms have been used inmany 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 showthat the process of an evolutionary algorithm in combination with these mutation operators can be used as a valuable way to produce unique generative art.|
|Appears in Collections:||Aurora harvest 3|
Computer Science publications
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