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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5
Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Hiroshi Kajisha, Toshimichi Saito, "Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5173, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861453,
author = {Hiroshi Kajisha and Toshimichi Saito},
title = {Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {5},
year = {2000},
issn = {1098-7576},
pages = {5173},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861453},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms
SN - 1098-7576
SP
EP
A1 - Hiroshi Kajisha,
A1 - Toshimichi Saito,
PY - 2000
VL - 5
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Hiroshi Kajisha, HOSEI University
Toshimichi Saito, HOSEI University
This paper presents an efficient searching algorithm for one-dimensional cellular automata (CAs) with self-replicating structure. In the algorithm, the CA structure is represented by a simple fitness function and a genetic algorithm is used effectively where a gene implies a rule table. Based on preliminary experimental results, we provide interesting conjectures: 1) There exists optimal mutation rate for the fitness evolution, and 2) If genes are evolved successfully, they can produce some typical patterns.
Citation:
Hiroshi Kajisha, Toshimichi Saito, "Synthesis of Self-Replication Cellular Automata Using Genetic Algorithms," ijcnn, vol. 5, pp.5173, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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