Paper Info
Title
Evolution of Self-Assembling Patterns in Cellular Automata Using Development.
Abstract
This paper is concerned with the application of ideas inspired by developmental biology to the evolution of cellular automata rules using genetic programming. In particular, it is focused on so-called self-assembling patterns. The application of development in computing is reviewed, as is the evolutionary technique used in the paper-Cartesian Genetic Programming. A novel developmental algorithm, termed the Developmental Cellular Model is introduced, and five sets of experiments on various self-assembly problems are detailed and the results examined.
Year
Venue
Keywords
2011
JOURNAL OF CELLULAR AUTOMATA
Self-Assembly,Emergence,Genetic Programming,Development,Bio-Inspired Computing,Evolvability
Field
DocType
Volume
Cellular automaton,Discrete mathematics,Genetic programming,Theoretical computer science,Cellular model,Stochastic cellular automaton,Computer programming,Mathematics
Journal
6
Issue
ISSN
Citations 
4-5
1557-5969
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Can Öztürkeri130.94
Colin G. Johnson2933115.57