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Parallel Hardware Implementation of Cellular Learning Automata Based Evolutionary Computing (CLA-EC) on FPGA

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FCCM.2005.51

13th Annual IEEE Symposium on Field-P ...

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	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, vol. 0, no. 0, 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 = {}, 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 - 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

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