Skip to main content
Log in

Hardware implementation of evolutionary algorithms using dynamic reconfiguration technology

  • Published:
Natural Computing Aims and scope Submit manuscript

Abstract

This paper proposes hardware implementation of evolutionary algorithms using dynamic reconfiguration technology. In this paper two types of dynamic reconfiguration for evolutionary algorithm are introduced. The processor was designed by using VHDL and the circuit was simulated. The effectiveness of the proposal processor was confirmed.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19

Similar content being viewed by others

References

  • Davis L (ed) (1991) Handbook of genetic algorithms. Van Nostrand Reinhold, New York

    Google Scholar 

  • Graham P, Nelson B (1995) A hardware genetic algorithm for the traveling salesman problem on SPLASH2. In: Proceedings of 5th international workshop on field lecture notes in computer science, vol. 975, pp 352–361

  • Kanasugi A, Tsukahara A (2007) A processor for genetic algorithm using dynamically reconfigurable memory. J Converg Inf Technol 2(1):4–15

    Google Scholar 

  • Miyazaki T (1998) Reconfigurable systems: a survey. In: Proceedings of ASP-DAC, pp 447–452

  • Sasamoto D, Kanasugi A (2013) A reconfigurable distributed genetic processor. In: Proceedings of 2013 international conference on international conference on bioinformatics, Computational Biology and Biomedical Engineering, pp. 2682–2685

  • Tanese R (1989) Distributed genetic algorithms. In: Proceedings of the 3rd international conference on genetic algorithms, pp 434–439

  • Tsukahara A, Kanasugi A (2009) Genetic algorithm with dynamic variable number of individuals and accuracy. Int J Control Autom Syst 7(1):1–6

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by Tokyo Denki University Science Promotion Fund (Q09-01).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Akinori Kanasugi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kanasugi, A., Tsukahara, A. & Ando, K. Hardware implementation of evolutionary algorithms using dynamic reconfiguration technology. Nat Comput 14, 593–601 (2015). https://doi.org/10.1007/s11047-014-9476-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11047-014-9476-z

Keywords

Navigation