Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106214
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Type: Conference paper
Title: The evolutionary process of image transition in conjunction with box and strip mutation
Author: Neumann, A.
Alexander, B.
Neumann, F.
Citation: Processings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), as published in Lecture Notes in Computer Science, 2016 / vol.9949 LNCS, pp.261-268
Publisher: Springer International Publishing AG
Issue Date: 2016
Series/Report no.: Lecture Notes in Computer Science; 9949
ISBN: 3319466747
9783319466743
ISSN: 0302-9743
1611-3349
Conference Name: The 23rd International Conference on Neural Information Processing (ICONIP 2016) (16 Oct 2016 - 21 Oct 2016 : Kyoto, Japan)
Statement of
Responsibility: 
Aneta Neumann, Bradley Alexander, and Frank Neumann
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.
Description: Neural information processing : 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16-21, 2016, Proceedings. Part III /​ Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu (eds.).
Rights: © Springer International Publishing AG 2016
RMID: 0030057712
DOI: 10.1007/978-3-319-46675-0_29
Published version: https://link.springer.com/book/10.1007/978-3-319-46675-0
Appears in Collections:Computer Science publications

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