Multi-feature visualisations of phenotypic behaviour for creative interactive evolution

Authors:
Oliver Bown;Rob Saunders
Affiliations:
University of Sydney, Sydney, Australia;University of Sydney, Sydney, Australia
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

Citing 1
Cited 0

Continuous-Time recurrent neural networks for generative and interactive musical performance

EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

A visualisation method is presented for interactive evolution of interactive software objects, in which multiple outputs of the system are used to construct a two-dimensional shape in a feature space. The method allows multiple phenotypes to be overlaid allowing for quick feedback on the different properties of phenotypes. The properties of the resulting visualisations are discussed.