Fitness and novelty in evolutionary art

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.

Publication DOI: https://doi.org/10.1007/978-3-319-31008-4_16
Divisions: Engineering & Applied Sciences > Computer Science
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Event Title: 5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and design
Event Type: Other
Event Dates: 2016-03-30 - 2016-04-01
Uncontrolled Keywords: novelty search,evolutionary,art,multi-objective optimisation,Computer Science(all),Theoretical Computer Science
ISBN: 978-3-319-31007-7, 978-3-319-31008-4
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
http://link.spr ... -319-31008-4_16 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2016-03-17
Accepted Date: 2016-03-01
Authors: Vinhas, Adriano
Assuncção, Filipe
Correira, João
Ekárt, Aniko ( 0000-0001-6967-5397)
Machado, Penousal

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