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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)
How to use crowding selection in Grammar-based Classifier System
Wroclaw, Poland
September 08-September 10
ISBN: 0-7695-2286-6
ASCII Text
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Olgierd Unold, Lukasz Cielecki, "How to use crowding selection in Grammar-based Classifier System," Intelligent Systems Design and Applications, International Conference on, pp. 124-129, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/ISDA.2005.50,
author = {Olgierd Unold and Lukasz Cielecki},
title = {How to use crowding selection in Grammar-based Classifier System},
journal ={Intelligent Systems Design and Applications, International Conference on},
volume = {0},
year = {2005},
isbn = {0-7695-2286-6},
pages = {124-129},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISDA.2005.50},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Intelligent Systems Design and Applications, International Conference on
TI - How to use crowding selection in Grammar-based Classifier System
SN - 0-7695-2286-6
SP124
EP129
A1 - Olgierd Unold,
A1 - Lukasz Cielecki,
PY - 2005
KW - null
VL - 0
JA - Intelligent Systems Design and Applications, International Conference on
ER -
 
Olgierd Unold, Wroclaw University of Technology, Poland
Lukasz Cielecki, Wroclaw University of Technology, Poland
Grammar-based classifier system (GCS) is a new version of Learning Classifier Systems (LCS) in which classifiers are represented by context-free grammar in Chomsky Normal Form. GCS evolves one grammar during induction (the Michigan approach) what gives it an ability to find the proper set of rules very quickly. However it is quite sensitive to any variations of learning parameters. This paper investigates the role of crowding selection in GCS. To evaluate the performance of GCS depending on crowding factor and crowding subpopulation we used context-free language in the form of so-called toy language. The set of experiments was performed to obtain the answer for the raised question in the title.
Citation:
Olgierd Unold, Lukasz Cielecki, "How to use crowding selection in Grammar-based Classifier System," isda, pp.124-129, 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005
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