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

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.

• Type: Conference
• Year: 2005
• Where: FCCM
• Authors: Arash Hariri, Reza Rastegar, Morteza Saheb Zamani, Mohammad Reza Meybodi
• Keywords: Cellular Learning Automata, FCCM 2005, Hardware, Optimization Problems Thousands, Parallel Structure