Implementation of genetic algorithms using FPGA technology

  • Authors:

  • Mohamed sadek Ben Ameur;Anis Sakly;Abdellatif Mtibaa

  • Affiliations:

  • -;-;-

  • Venue:
  • Proceedings of the Annual FPGA Conference
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

The design presented in this paper is a Genetic Algorithm (GA) written in Vhsic Hardware Description Language (VHDL) and intended for a hardware implementation which is used for real time applications. The hardware implementation exploits the reprogrammability of certain types of Field-Programmable Gate Arrays (FPGAs) like those from Xilinx. GAs are a family of computational models inspired by evolution allowing the optimization of many problems related to digital solution, econometrics and finance. These algorithms encode a potential solution to a specific problem on a simple chromosome like data structure and apply recombination operators to these structures to preserve critical information.