Use of GCF Aesthetic Measure in the Evolution of Landscape Designs

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.