This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'05)
Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
Los Alamitos
April 18-April 20
ISBN: 0-7695-2445-1
ASCII Text
x 
 
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani, Mohammad R. Meybodi, "Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA," Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, pp. 311-314, 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/FCCM.2005.51,
author = {Arash Hariri and Reza Rastegar and Morteza Saheb Zamani and Mohammad R. Meybodi},
title = {Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA},
journal ={Field-Programmable Custom Computing Machines, Annual IEEE Symposium on},
volume = {0},
year = {2005},
isbn = {0-7695-2445-1},
pages = {311-314},
doi = {http://doi.ieeecomputersociety.org/10.1109/FCCM.2005.51},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on
TI - Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA
SN - 0-7695-2445-1
SP311
EP314
A1 - Arash Hariri,
A1 - Reza Rastegar,
A1 - Morteza Saheb Zamani,
A1 - Mohammad R. Meybodi,
PY - 2005
KW - null
VL - 0
JA - Field-Programmable Custom Computing Machines, Annual IEEE Symposium on
ER -
 
Arash Hariri, Amirkabir University of Technology
Reza Rastegar, Amirkabir University of Technology
Morteza Saheb Zamani, Amirkabir University of Technology
Mohammad R. Meybodi, Amirkabir University of Technology
The CLA-EC is a model obtained by combining the concepts of cellular learning automata and evolutionary algorithms. The parallel structure of the CLA-EC makes it suitable for hardware-based applications including evolvable hardware. In this paper, based on the SIMD model, a parallel architecture is proposed and implemented on FPGA. Simulation results show that the proposed architecture can solve optimization problems thousands times faster than the sequential implementations.
Citation:
Arash Hariri, Reza Rastegar, Morteza Saheb Zamani, Mohammad R. Meybodi, "Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA," fccm, pp.311-314, 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.