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Evolving computer programs using rapidly reconfigurable field-programmable gate arrays and genetic programming

Authors:

Forest H. Bennett, III,

Jeffrey L. Hutchings,

Stephen L. Bade,

Martin A. Keane,

David AndreAuthors Info & Claims

FPGA '98: Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field programmable gate arrays

Pages 209 - 219

https://doi.org/10.1145/275107.275141

Published: 01 March 1998 Publication History

Abstract

This paper describes how the massive parallelism of the rapidly reconfigurable Xilinx XC6216 FPGA (in conjunction with Virtual Computing's H.O.T. Works board) can be exploited to accelerate the time-consuming fitness measurement task of genetic algorithms and genetic programming. This acceleration is accomplished by embodying each individual of the evolving population into hardware in order to perform the fitness measurement task. A 16-step sorting network for seven items was evolved that has two fewer steps than the sorting network described in the 1962 O'Connor and Nelson patent on sorting networks (and the same number of steps as a 7-sorter that was devised by Floyd and Knuth subsequent to the patent and that is now known to be minimal). Other minimal sorters have been evolved.

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Cited By

Swarnalatha AShanthi A(2014)Complete hardware evolution based SoPC for evolvable hardwareApplied Soft Computing10.5555/2841440.284147818:C(314-322)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.5555/2841440.2841478
Tangen U(2014)On evolvability and robustness in the matrix-GRT modelGenetic Programming and Evolvable Machines10.1007/s10710-014-9221-515:3(343-374)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1007/s10710-014-9221-5
Koza J(2010)Human-competitive results produced by genetic programmingGenetic Programming and Evolvable Machines10.1007/s10710-010-9112-311:3-4(251-284)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1007/s10710-010-9112-3
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Index Terms

Evolving computer programs using rapidly reconfigurable field-programmable gate arrays and genetic programming
1. Hardware
  1. Very large scale integration design
    1. Application-specific VLSI designs
2. Theory of computation
  1. Design and analysis of algorithms
    1. Data structures design and analysis
      1. Sorting and searching
  2. Models of computation
    1. Concurrency
      1. Parallel computing models

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cover image ACM Conferences

FPGA '98: Proceedings of the 1998 ACM/SIGDA sixth international symposium on Field programmable gate arrays

March 1998

262 pages

ISBN:0897919785

DOI:10.1145/275107

Chairmen:
Jason Cong
Univ. of California, Los Angeles
,
Sinan Kaptanoglu
Actel Corp.

Copyright © 1998 ACM.

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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Published: 01 March 1998

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FPGA98: 1998 International Symposium on Field Programmable Gate Arrays

February 22 - 25, 1998

California, Monterey, USA

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Overall Acceptance Rate 125 of 627 submissions, 20%

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Cited By

Swarnalatha AShanthi A(2014)Complete hardware evolution based SoPC for evolvable hardwareApplied Soft Computing10.5555/2841440.284147818:C(314-322)Online publication date: 1-May-2014
https://dl.acm.org/doi/10.5555/2841440.2841478
Tangen U(2014)On evolvability and robustness in the matrix-GRT modelGenetic Programming and Evolvable Machines10.1007/s10710-014-9221-515:3(343-374)Online publication date: 1-Sep-2014
https://dl.acm.org/doi/10.1007/s10710-014-9221-5
Koza J(2010)Human-competitive results produced by genetic programmingGenetic Programming and Evolvable Machines10.1007/s10710-010-9112-311:3-4(251-284)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1007/s10710-010-9112-3
Vavouras MPapadimitriou KPapaefstathiou IChow PCheung P(2009)Implementation of a genetic algorithm on a virtex-ii pro FPGAProceedings of the ACM/SIGDA international symposium on Field programmable gate arrays10.1145/1508128.1508206(287-287)Online publication date: 24-Feb-2009
https://dl.acm.org/doi/10.1145/1508128.1508206
Curry RLichodzijewski PHeywood M(2007)Scaling Genetic Programming to Large Datasets Using Hierarchical Dynamic Subset SelectionIEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)10.1109/TSMCB.2007.89640637:4(1065-1073)Online publication date: Aug-2007
https://doi.org/10.1109/TSMCB.2007.896406
Chen YHe J(2007)Using Systolic Technique to Accelerate an EHW Engine for Lossless Image CompressionEvolvable Systems: From Biology to Hardware10.1007/978-3-540-74626-3_41(433-444)Online publication date: 2007
https://doi.org/10.1007/978-3-540-74626-3_41
Nagano HMatsuura ANagoya A(2006)An efficient implementation method of fractal image compression on dynamically reconfigurable architectureParallel and Distributed Processing10.1007/BFb0097952(670-678)Online publication date: 28-Oct-2006
https://doi.org/10.1007/BFb0097952
Song DHeywood MZincir-Heywood A(2005)Training genetic programming on half a million patternsIEEE Transactions on Evolutionary Computation10.1109/TEVC.2004.8416839:3(225-239)Online publication date: 1-Jun-2005
https://dl.acm.org/doi/10.1109/TEVC.2004.841683
McIntyre AHeywood M(2005)Toward Co-Evolutionary Training of a Multi-Class Classifier2005 IEEE Congress on Evolutionary Computation10.1109/CEC.2005.1554958(2130-2137)Online publication date: 2005
https://doi.org/10.1109/CEC.2005.1554958
Lau WLi GLee KLeung KCheang S(2005)Multi-logic-Unit processorProceedings of the 8th European conference on Genetic Programming10.1007/978-3-540-31989-4_15(167-177)Online publication date: 30-Mar-2005
https://dl.acm.org/doi/10.1007/978-3-540-31989-4_15
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