@inproceedings{5042f195612e486f86724f3c951bb603,
title = "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.",
keywords = "novelty search, evolutionary, art, multi-objective optimisation",
author = "Adriano Vinhas and Filipe Assunc{\c c}{\~a}o and Jo{\~a}o Correira and Aniko Ek{\'a}rt and Penousal Machado",
year = "2016",
month = mar,
day = "17",
doi = "10.1007/978-3-319-31008-4_16",
language = "English",
isbn = "978-3-319-31007-7",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "225--240",
editor = "Colin Johnson and Vic Ciesielski and Jo{\~a}o Correia and Penousal Machado",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "Germany",
note = "5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and design, EvoMUSART 2016 ; Conference date: 30-03-2016 Through 01-04-2016",
}