Skip to main content

The Benchmarker

  • Chapter
  • First Online:
Handbook of Neuroevolution Through Erlang
  • 1802 Accesses

Abstract

In this chapter we add the benchmarker process which can sequentially spawn population_monitors and apply them to some specified problem/simulation. We also extend the database to include the experiment record, which the benchmarker uses to deposit the traces of the population’s evolutionary statistics, and to recover from crashes to continue with the specified experiment. The benchmarker can compose experiments by performing multiple evolutionary runs, and then produce statistical data and GNUplot ready files of the various evolutionary dynamics and averages calculated within the experiment.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. gnuplot: http://www.gnuplot.info/

  2. https://github.com/CorticalComputer/NeuroevolutionThroughErlang

  3. Faustino G, Risto M (1998) 2-D Pole Balancing with Recurrent Evolutionary Networks. In: Proceedings of the International Conference on Artificial Neural Networks (Elsevier), pp. 2-7.

    Google Scholar 

  4. Durr P, Mattiussi C, Floreano D (2006) Neuroevolution With Analog Genetic Encoding. Parallel Problem Solving from NaturePPSN iX, 671-680.

    Google Scholar 

  5. Peter Dürr, Claudio Mattiussi, Dario Floreano (2006) Neuroevolution with Analog Genetic Encoding. PPSN 2006:671–680

    Google Scholar 

  6. Jesper Blynel, Dario Floreano (2003) Exploring the T-Maze: Evolving Learning-Like Robot Behaviors using CTRNNs. Springer Verlag 598-609

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Sher, G.I. (2013). The Benchmarker. In: Handbook of Neuroevolution Through Erlang. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4463-3_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4463-3_13

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4462-6

  • Online ISBN: 978-1-4614-4463-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics