Fitness and Novelty in Evolutionary Art

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 illustra...

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Bibliographic Details
Published inEvolutionary and Biologically Inspired Music, Sound, Art and Design Vol. 9596; pp. 225 - 240
Main Authors Vinhas, Adriano, Assunção, Filipe, Correia, João, Ekárt, Aniko, Machado, Penousal
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2016
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Algorithms & data structures
Artificial intelligence
Evolutionary art
Multi-objective optimisation
Novelty search
User interface design & usability
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ISBN9783319310077
3319310070
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-31008-4_16

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Summary: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.
ISBN:9783319310077
3319310070
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-31008-4_16