Data from: Improving HybrID: how to best combine indirect and direct encoding in evolutionary algorithms

Helms L, Clune J

Date Published: March 29, 2017

DOI: http://dx.doi.org/10.5061/dryad.7c4g3

 

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title Improving HybrID: Champion Genomes and Fitness Values
Downloaded 6 times
Description An archive containing champion genomes and fitness values for algorithms tested in the paper Improving HybrID: How to best combine indirect and direct encoding in evolutionary algorithms, as well as the configuration files used to produce the populations.
Download ImprovingHybrID.tar.gz (409.0 Mb)
Details View File Details

When using this data, please cite the original publication:

Helms L, Clune J (2017) Improving HybrID: How to best combine indirect and direct encoding in evolutionary algorithms. PLOS ONE 12(3): e0174635. http://dx.doi.org/10.1371/journal.pone.0174635

Additionally, please cite the Dryad data package:

Helms L, Clune J (2017) Data from: Improving HybrID: how to best combine indirect and direct encoding in evolutionary algorithms. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.7c4g3
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: