Fitness and Novelty in Evolutionary Art
Authors
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.
Related Project
ConCreTe - Concept Creation Technology
Conference
2016 International Conference on Evolutionary and Biologically Inspired Music and Art (EvoMUSART), March 2016
DOI
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