Use of GCF Aesthetic Measure in the Evolution of Landscape Designs

Prasad Gade, Paul Walsh

Abstract

This paper explores the use of a global contrast factor (GCF) as an aesthetic measure to aid the generation of fractal landscapes. In an attempt to auto generation virtual landscapes, we added a global contrast factor as an aesthetic measure based fitness function to the genetic algorithm (GA). This GA is used to explore a multi-dimensional parameter space that defines how 3D fractal landscapes are created. Two types of experiments were conducted using GCF that facilitated fluid evaluation of computationally intensive fitness evaluation, with preliminary results reported.

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Paper Citation


in Harvard Style

Gade P. and Walsh P. (2013). Use of GCF Aesthetic Measure in the Evolution of Landscape Designs . In Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013) ISBN 978-989-8565-77-8, pages 83-90. DOI: 10.5220/0004520800830090


in Bibtex Style

@conference{ecta13,
author={Prasad Gade and Paul Walsh},
title={Use of GCF Aesthetic Measure in the Evolution of Landscape Designs},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)},
year={2013},
pages={83-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004520800830090},
isbn={978-989-8565-77-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Joint Conference on Computational Intelligence - Volume 1: ECTA, (IJCCI 2013)
TI - Use of GCF Aesthetic Measure in the Evolution of Landscape Designs
SN - 978-989-8565-77-8
AU - Gade P.
AU - Walsh P.
PY - 2013
SP - 83
EP - 90
DO - 10.5220/0004520800830090