Fitness and Novelty in Evolutionary Art
Inhaltsverzeichnis
Referenz
Adriano Vinhas, Filipe Assunção, João Correia, Anikó Ekárt, Penousal Machado: Fitness and Novelty in Evolutionary Art. In: EvoMUSART 2016, 225-240.
DOI
http://dx.doi.org/10.1007/978-3-319-16498-4_3
Abstract
In this paper the effects of introducing novelty search in evolutionary art are explored. Our algorithm combines fitness and novelty metrics to frame image evolution as a multi-objective optimisation problem, promoting the creation of images that are both suitable and diverse. The method is illustrated by using two evolutionary art engines for the evolution of figurative objects and context free design grammars. The results demonstrate the ability of the algorithm to obtain a larger set of fit images compared to traditional fitness-based evolution, regardless of the engine used
Extended Abstract
Bibtex
@incollection{
year={2016},
isbn={978-3-319-31007-7},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design},
volume={9596},
series={Lecture Notes in Computer Science},
editor={Johnson, Colin and Ciesielski, Vic and Correia, João and Machado, Penousal},
doi={http://dx.doi.org/10.1007/978-3-319-16498-4_3 },
title={Fitness and Novelty in Evolutionary Art},
url={http://link.springer.com/chapter/10.1007/978-3-319-31008-4_16 http://de.evo-art.org/index.php?title=Fitness_and_Novelty_in_Evolutionary_Art },
publisher={Springer International Publishing},
keywords={Novelty search; Evolutionary art; Multi-objective optimisation},
author={Vinhas, Adriano and Assunção, Filipe and Correia, João and Ekárt, Anikó and Machado, Penousal},
pages={225-240},
language={English}
}
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Links
Full Text
https://research.aston.ac.uk/portal/files/19735113/evomusart2016.pdf
