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Implementation of genetic algorithms using FPGA technology

Published: 04 September 2012 Publication History

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.

References

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I. Rechenberg, Evolutionary strategie: Evolution, Frommann-Holzboog, Stuttgart, 1973.
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D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, 1989.
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J. H. Holland, Adaptation in Natural and Artificial Systems, University of Michigan Press, 1975.
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I. Lerman, et F. Ngouenet, Algorithmes génétiques séquentiels et parallèles pour une représentation affine des proximités, Rapport de Recherche de l'INRIA Rennes - Projet REPCO 2570, INRIA, 1995.
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J. M. Arnold, D. A. Buell, et E. G. Davis, In Proceedings of the 4th Annual AGM Symposium on Parallel Algorithms and Architectures, pages 316--324, June 1992.
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Z. Michalewicz, Genetic Algorithms + Data Structures = Evolutionary programs, Springer, 3ème Ed., 1996.
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W. Stolzmann, Learning Classifier Systems using the Cognitive Mechanism of Anticipatory Behavioral Control, 1996.
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D. H. Lehmer, Mathematical methods in large-scale computing units, Ann. Computing Lab. Harvard Univ. 141--146, 1951.
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S. Narayanan, Hardware Implementation of Genetic Algorithm Modules for Intelligent Systems, IEEE International Midwest Symposium on Circuits and Systems, 2005.
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G. G. Koonar, a Reconfigurable Hardware Implementation of Genetic Algorithms for VLSI CAD Design, Thesis, University of Guelph, 2003.

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Published In

cover image ACM Other conferences
FPGAworld '12: Proceedings of the Annual FPGA Conference
September 2012
53 pages
ISBN:9781450316453
DOI:10.1145/2451636
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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  • Altera Corp.: Altera Corporation
  • TechMedia A/S: TechMedia A/S

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 04 September 2012

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FPGAWorld '12
Sponsor:
  • Altera Corp.
  • TechMedia A/S
FPGAWorld '12: Annual FPGA Conference
September 4 - October 5, 2012
Stockholm, Copenhagen, Tampere, Sweden

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Overall Acceptance Rate 4 of 6 submissions, 67%

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