Fitness and Novelty in Evolutionary Art

被引：11

作者：

Vinhas, Adriano ^{[1
]}

Assuncao, Filipe ^{[1
]}

Correia, Joao ^{[1
]}

Ekart, Aniko ^{[2
]}

Machado, Penousal ^{[1
]}

机构：

[1] Univ Coimbra, Dept Informat Engn, CISUC, Coimbra, Portugal

[2] Aston Univ, Aston Lab Intelligent Collect Engn ALICE, Comp Sci, Birmingham, W Midlands, England

来源：

EVOLUTIONARY AND BIOLOGICALLY INSPIRED MUSIC, SOUND, ART AND DESIGN, EVOMUSART 2016 | 2016年 / 9596卷

关键词：

Novelty search; Evolutionary art; Multi-objective optimisation;

D O I：

10.1007/978-3-319-31008-4_16

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：225 / 240

页数：16

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