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Volumn 2210, Issue , 2001, Pages 204-215

Placing and routing circuits on FPGAs by means of parallel and distributed genetic programming

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER HARDWARE; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); GENETIC ALGORITHMS; GENETIC PROGRAMMING; TIMING CIRCUITS;

EID: 84955597541     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45443-8_18     Document Type: Conference Paper
Times cited : (5)

References (17)
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    • Andre, D.1    Koza, J.R.2
  • 3
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    • The Density Advantage of Configurable Computing
    • April
    • A. DeHon. The Density Advantage of Configurable Computing. Computer. April 2000, pp. 41-49.
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  • 6
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    • Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming
    • To appear
    • F. Fernández, M. Tomassini, L. Vanneschi: Studying the Influence of Communication Topology and Migration on Distributed Genetic Programming. EuroGP 2001. To appear.
    • (2001) Eurogp
    • Fernández, F.1    Tomassini, M.2    Vanneschi, L.3
  • 10
    • 0242314790 scopus 로고    scopus 로고
    • A Circuit Representation Technique for Automated Circuit Design
    • September
    • J. D. Lohn and S. P. Colombano A Circuit Representation Technique for Automated Circuit Design. IEEE Transactions on Evolutionary Computation, VOL. 3, NO. 3, September 1999. Pp 205-219.
    • (1999) IEEE Transactions on Evolutionary Computation , vol.3 , Issue.3 , pp. 205-219
    • Lohn, J.D.1    Colombano, S.P.2
  • 11
    • 84871505226 scopus 로고    scopus 로고
    • Genetic Algorithms for VLSI Design, Layout & Test Automation
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    • (1999) Prentice Hall
    • Mazumder, P.1    Rudnick, E.M.2
  • 12
    • 73849095098 scopus 로고    scopus 로고
    • An empirical study of the efficiency of learning boolean functions using a Cartesian Genetic Programming Approach
    • W. Banzhaf, J. Daida, A. E. Eiben, M. Garzon, V. Honavar, M. Jakiela, and R. E. Smith (eds), Morgan Kaufmann, San Francisco, Ca
    • J. F. Miller: An empirical study of the efficiency of learning boolean functions using a Cartesian Genetic Programming Approach, in Proceedings of the 1st Genetic and Evolutionary Coputation Conference, W. Banzhaf, J. Daida, A. E. Eiben, M. Garzon, V. Honavar, M. Jakiela, and R. E. Smith (eds), Morgan Kaufmann, San Francisco, Ca, 1999, vol. 2, pp. 927-936.
    • (1999) Proceedings of the 1St Genetic and Evolutionary Coputation Conference , vol.2 , pp. 927-936
    • Miller, J.F.1
  • 13
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    • Principles in the Evolutionary Design of Digital Circuits – Part I
    • Kluwer Academic Publishers. Netherland
    • J. F. Miller, D. Job, V. K. Vassilev. Principles in the Evolutionary Design of Digital Circuits – Part I. Genetic Programming and Evolvable Machines, 1, 7-35(2000). Kluwer Academic Publishers. Netherland.
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    • Miller, J.F.1    Job, D.2    Vassilev, V.K.3
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    • How effective are multiple populations in Genetic Programming
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    • W.F. Punch: How effective are multiple populations in Genetic Programming. 3Genetic Programming 1998: Proceedings of the Third Annual Conference, J. R. Koza, W. Banzhaf, K. Chellapilla, K. Deb, M. Dorigo, D. B. Fogel, M. Garzon, D. Goldberg, H. Iba and R. L. Riolo (Eds),Morgan Kaufmann, San Francisco, CA, 08-313, 1998.
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    • A. Thompson, P. Layzell and R. S. Zebulum: Explorations in Design Space: Unconventional Electronics Design Through Artificial Evolution. IEEE Transactions on Evolutionary Computation, VOL. 3, NO. 3, September 1999. Pp 167-196.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.