Paper Info
Title
Avoidance Drawings Evolved Using Virtual Drawing Robots.
Abstract
We introduce a generative system for "avoidance drawings", drawings made by virtual drawing robots executing a random walk while simultaneously avoiding the paths of other robots. The random walk method is unique and is based on a curvature controlling scheme initially introduced by Chappell. We design a fitness function for evaluating avoidance drawings and an evolutionary framework for evolving them. This requires us to follow principles we elucidate for simulated evolution where the generative system is highly stochastic in nature. Examples document the evolutionary system's efficacy and success.
Year
DOI
Venue
2015
10.1007/978-3-319-16498-4_8
Lecture Notes in Computer Science
Field
DocType
Volume
Fitness landscape,Curvature,Random walk,Fitness function,Artificial intelligence,Engineering,Generative grammar,Robot,Pseudorandom number generator
Conference
9027
ISSN
Citations 
PageRank 
0302-9743
1
0.36
References 
Authors
5
1
Name
Order
Citations
PageRank
Gary Greenfield1465.01